Podcasts about quantum chemistry

Introduction: In this milestone 50th episode of The New Quantum Era, your host Sebastian Hassinger welcomes Dr. Anna Grassellino, a leading figure in quantum information science and the director of the Superconducting Quantum Materials and Systems Center at Fermilab, or SQMS. Dr. Grassellino discusses the center's mission to advance quantum computing and quantum sensing through innovations in superconducting materials and devices. The conversation explores the intersection of quantum hardware development, high energy physics applications, and the collaborative efforts driving progress in the field. We recorded our conversation at the APS 2025 Global Summit with assistance from the American Physical Society and from Quantum Machines, Inc. Main Topics Discussed:The vision and mission of the Superconducting Quantum Materials and Systems (SQMS) Center, including its role in the Department of Energy's National Quantum Initiative and its focus on developing quantum systems with superior performance for scientific and technological applications.Advances in superconducting quantum hardware, particularly the use of high-quality superconducting radio frequency (SRF) cavities and their integration with two-dimensional superconducting circuits to enhance qubit coherence and scalability.Key technical challenges in scaling up quantum systems, such as mitigating decoherence, improving materials, and developing large-scale cryogenic platforms for quantum experiments.The importance of interdisciplinary collaboration between quantum engineers, materials scientists, and high energy physicists to achieve breakthroughs in quantum technology.Future directions for the SQMS Center, including the pursuit of quantum advantage in high energy physics algorithms, quantum sensing, and the development of robust error correction strategies.Notable Papers from Fermi's SQMS Center:Quantum computing hardware for HEP algorithms and sensing (arXiv:2204.08605) – Overview of SQMS's approach to quantum hardware for high energy physics applications, including architectures and error correction.A large millikelvin platform at Fermilab for quantum computing applications (arXiv:2108.10816) – Description of the design and goals of a large-scale cryogenic platform for hosting advanced quantum devices at millikelvin temperatures.Searches for New Particles, Dark Matter, and Gravitational Waves Additional recent preprints and publications from SQMS can be found on the SQMS Center's publications page, including work on nonlinear quantum mechanics bounds, materials for quantum devices, and quantum error correction strategies.

IntroductionIn this episode of The New Quantum Era podcast, host Sebastian Hassinger delves into an insightful conversation with Yonatan Cohen, CTO and co-founder of Quantum Machines. As a pioneer in quantum control systems, Quantum Machines is at the forefront of tackling the critical challenges of scaling quantum computing, and they also provided support for my interviews conducted at the American Physical Society's Global Summit 2025. APS itself also graciously provided support for these episodes. Yonatan shares exciting updates from their latest demos at the APS conference, discusses their unique approach to quantum control, and explores how integrating classical and quantum computing is paving the way for more efficient and scalable solutions.Key PointsScaling Quantum Control Systems: Yonatan discusses the challenges of scaling up quantum control systems, emphasizing the need to make systems more compact, reduce power consumption, and lower costs per qubit while maintaining high analog specifications.Integration of Classical Compute with Quantum Systems: The conversation highlights Quantum Machines' collaborative work with NVIDIA on DGX Quantum, a platform that integrates classical and quantum computing to enhance computational power and low-latency data transfer.AI for Quantum Calibration and Error Correction: Yonatan explains the role of AI and machine learning in speeding up the calibration process of quantum computers and improving qubit control, potentially transforming how frequently and effectively quantum systems can be calibrated.Versatility Across Different Quantum Modalities: Quantum Machines' control systems are adaptable to various quantum computing modalities such as superconducting qubits, NV centers, and atomic qubits, providing a flexible toolkit for researchers.The Role of the Israeli Quantum Computing Center: Yonatan describes Quantum Machines' involvement in building and operating the Israeli Quantum Computing Center, providing researchers with hands-on access to cutting-edge quantum control technologies.

Welcome to episode 48 of The New Quantum Era podcast! Another episode recorded at the APS Global Summit in March, today's special guest is true quantum pioneer, John Martinis, co-founder and CTO of QoLab, a superconducting qubit company seeking to build a million qubit device. In this enlightening conversation, we explore the strategic shifts, collaborative efforts, and technological innovations that are pushing the boundaries of quantum computing closer to building scalable, million-qubit systems. This episode was made with support form The American Physical Society and Quantum Machines, Inc. (BTW I know I said episode 49 in the intro to this episode, I noticed it too late to fix without a further delay in posting the interview!)Key HighlightsEmerging from Stealth Mode & Million-Qubit System Paper:Discussion on QoLab's transition from stealth mode and their comprehensive paper on building scalable million-qubit systems.Focus on a systematic approach covering the entire stack.Collaboration with Semiconductor Companies:Unique business model emphasizing collaboration with semiconductor companies to leverage external expertise.Comparison with bigger players like Google, who can fund the entire stack internally.Innovative Technological Approaches:Integration of wafer-scale technology and advanced semiconductor manufacturing processes.Emphasis on adjustable qubits and adjustable couplers for optimizing control and scalability.Scaling Challenges and Solutions:Strategies for achieving scale, including using large dilution refrigerators and exploring optical communication for modular design.Plans to address error correction and wiring challenges using brute force scaling and advanced materials.Future Vision and Speeding Up Development:QoLab's goal to significantly accelerate the timeline toward achieving a million-qubit system.Insight into collaborations with HP Enterprises, NVIDIA, Quantum Machines, and others to combine expertise in hardware and software.Research Papers Mentioned in this Episode:Position paper on building scalable million-qubit systems 

In this episode of The New Quantum Era podcast, your host Sebastian Hassinger interviews two of the field's most well-known figures, John Preskill and Rob Schoelkopf, about the transition of quantum computing into a new phase that John is calling "megaquop," which stands for "a million quantum operations." Our conversation delves into what this new phase entails, the challenges and opportunities it presents, and the innovative approaches being explored to make quantum computing perform better and become more useful. This episode was made with the kind support of the American Physical Society and Quantum Circuits, Inc. Here's what you can expect from this insightful discussion:Introduction of the Megaquop Era: John explains the transition from the NISQ era to the megaquop era, emphasizing the need for quantum error correction and the goal of achieving computations with around a million operations.Quantum Error Correction: Both John and Rob discuss the importance of quantum error correction, the challenges involved, and the innovative approaches being taken, such as dual rail and cat qubits.Superconducting Qubits and Dual Rail Approach: Rob shares insights into Quantum Circuits' work on dual rail superconducting qubits, which aim to make error correction more efficient by detecting erasure errors.Scientific and Practical Implications: The conversation touches on the scientific value of current quantum devices and the potential applications and discoveries that could emerge from the megaquop era.Future Directions and Challenges: The discussion also covers the future of quantum computing, including the need for better connectivity and the challenges of scaling up quantum devices.Mentioned in this Episode:Beyond NISQ: The Megaquop Machine: John Preskill's paper adapting his keynote from Q2B Silicon Valley 2024Quantum Circuits, Inc.: Rob's company, which is working on dual rail superconducting qubits.

In this episode of The New Quantum Era podcast, host Sebastian Hassinger speaks with Steve Girvin, professor of physics at Yale University, about quantum memory - a critical but often overlooked component of quantum computing architecture. This episode was created with support from the American Physical Society and Quantum Circuits, Inc.Episode HighlightsIntroduction to Quantum Memory: Steve explains that quantum memory is essential for quantum computers, similar to how RAM functions in classical computers. It serves as intermediate storage while the CPU works on other data.Coherence Challenges: Quantum bits (qubits) struggle to faithfully hold information for extended periods. Quantum memory faces both bit flips (like classical computers) and phase flips (unique to quantum systems).The Fundamental Theorem: Steve notes there's “no such thing as too much coherence” in quantum computing - longer coherence times are always beneficial.Quantum Random Access Memory (QRAM): Unlike classical RAM, QRAM can handle quantum superpositions, allowing it to process multiple addresses simultaneously and create entangled states of addresses and their associated data.QRAM Applications: Quantum memory enables state preparation, construction of oracles, and processing of big data in quantum algorithms for machine learning and linear algebra.Tree Architecture: QRAM is structured like an upside-down binary tree with routers at each node. The “bucket brigade” approach guides quantum bits through the tree to retrieve data.Error Resilience: Surprisingly, the error situation in QRAM is less catastrophic than initially feared. With a million leaf nodes and 0.1% error rate per component, only about 1,000 errors would occur, but the shallow circuit depth (only requiring n hops for n address bits) makes the system more resilient.Dual-Rail Approach: Recent work by Danny Weiss demonstrates using dual resonator (dual-rail) qubits where a microwave photon exists in superposition between two boxes, achieving 99.9% fidelity for each hop in the tree.Historical Context: Steve draws parallels to early classical computing memory systems developed by von Neumann at Princeton's IAS, including mercury delay line memory and early fault tolerance concepts.Future Outlook: While building quantum memory presents significant challenges, Steve remains optimistic about progress, noting that improving base qubit quality first and then scaling is their preferred approach.Key ConceptsQuantum Memory: Storage for quantum information that maintains coherenceQRAM (Quantum Random Access Memory): Architecture that allows quantum superpositions of addresses to access corresponding dataCoherence Time: How long a qubit can maintain its quantum stateBucket Brigade: Method for routing quantum information through a tree structureDual-Rail Qubits: Encoding quantum information in the presence of a photon in one of two resonatorsReferencesWeiss, D.K., Puri, S., Girvin, S.M. (2024). “Quantum random access memory architectures using superconducting cavities.” arXiv:2310.08288Xu, S., Hann, C.T., Foxman, B., Girvin, S.M., Ding, Y. (2023). “Systems Architecture for Quantum Random Access Memory.” arXiv:2306.03242Brock, B., et al. (2024). “Quantum Error Correction of Qudits Beyond Break-even.” arXiv:2409.15065

In this episode of The New Quantum Era, host Sebastian Hassinger interviews Professor Will Oliver from MIT about the advancements in fluxonium qubits. The discussion delves into the unique features of fluxonium qubits compared to traditional transmon qubits, highlighting their potential for high fidelity operations and scalability. Oliver shares insights from recent experiments at MIT, where his team achieved nearly five nines fidelity in single-qubit gates, and discusses how these qubits could be scaled up for larger quantum computing architectures through innovative control systems.Major Points Covered:Fluxonium vs. Transmon Qubits: Fluxonium qubits have a double-well potential, unlike the harmonic oscillator-like potential of transmon qubits. This design allows for high anharmonicity, which is beneficial for reducing leakage to higher energy levels during operations.High Fidelity Operations: The MIT team achieved high fidelity in both single and two-qubit gates using fluxonium qubits. For single qubits, they reached nearly five nines fidelity, and for two-qubit gates, they achieved fidelities around 99.92%.Scalability and Cost Reduction: Fluxonium qubits operate at lower frequencies, which could enable the integration of control electronics at cryogenic temperatures, reducing costs and increasing scalability. This approach is being developed by Atlantic Quantum, a startup spun out of Oliver's research groupFuture Directions: The goal is to implement surface code error correction with fluxonium qubits, which could lead to efficient production of logical qubits due to their high fidelity operationsThis episode brought to you with support from APS and from Quantum Machines, a big thank you to both organizations!

Professor Zoe Holmes from EPFL in Lausanne, Switzerland, discusses her work on quantum imaginary time evolution and variational techniques for near-term quantum computers. With a background from Imperial College London and Oxford, Holmes explores the limits of what can be achieved with NISQ (Noisy Intermediate-Scale Quantum) devices.Key topics covered:Quantum Imaginary Time Evolution (QITE) as a cooling-inspired algorithm for finding ground statesComparison of QITE to Variational Quantum Eigensolver (VQE) approachesChallenges in variational methods, including barren plateaus and expressivity concernsTrade-offs between circuit depth, fidelity, and practical implementation on current hardwarePotential for scientific value from NISQ-era devices in physics and chemistry applicationsThe interplay between classical and quantum methods in advancing our understanding of quantum systems

Welcome to another episode of The New Quantum Era, where we delve into the cutting-edge developments in quantum computing. with your host, Sebastian Hassinger. Today, we have a unique episode featuring representatives from two companies collaborating on groundbreaking quantum algorithms and hardware. Joining us are Sean Weinberg, Director of Quantum Applications at Quantum Circuits Incorporated, and Guillermo Garcia Perez, Chief Science Officer and co-founder at Algorithmiq. Together, they discuss their partnership and the innovative work they are doing to advance quantum computing applications, particularly in the field of chemistry and pharmaceuticals.Key Highlights:Introduction of New Podcast Format: Sebastian explains the new format of the podcast and introduces the guests, Sean Weinberg from Quantum Circuits Inc. and Guillermo Garcia Perez from Algorithmic.Collaboration Overview: Guillermo discusses the partnership between Quantum Circuits Inc. and Algorithmiq, focusing on how Quantum Circuits Inc.'s dual-rail qubits with built-in error detection enhance Algorithmiq's quantum algorithms.Innovative Algorithms: Guillermo elaborates on their novel approach to ground state simulations using tensor network methods and informationally complete measurements, which improve the accuracy and efficiency of quantum computations.Hardware Insights: Sean provides insights into Quantum Circuits Inc.'s Seeker device, an eight-qubit system that flags 90% of errors, and discusses the future scalability and potential for error correction.Future Directions: Both guests talk about the potential for larger-scale devices and the importance of collaboration between hardware and software companies to advance the field of quantum computing.Mentioned in this Episode:Quantum Circuits Inc.AlgorithmiqQCI's forthcoming quantum computing device, Aqumen SeekerTensor Network Error Mitigation: A method used by Algorithmic to improve the accuracy of quantum computations.Tune in to hear about the exciting advancements in quantum computing and how these two companies are pushing the boundaries of what's possible in this new quantum era, and if you like what you hear, check out www.newquantumera.com, where you'll find our full archive of episodes and a preview of the book I'm writing for O'Reilly Media, The New Quantum Era.

Welcome back to The New Quantum Era, a podcast by Sebastian Hassinger and Kevin Rowney. After a brief hiatus, we're excited to bring you a fascinating conversation with a true pioneer in the field of quantum computing, Alán Aspuru-Guzik. Alán is a professor at the University of Toronto and a leading figure in quantum computing, known for his foundational work on the Variational Quantum Eigensolver (VQE). In this episode, we delve into the evolution of VQE and explore Alán's latest groundbreaking work on the Generative Quantum Eigensolver (GQE). Expect to hear about the intersection of quantum computing and machine learning, and how these advancements could shape the future of the field.Key Highlights:Origins of VQE: Alan discusses the development of the Variational Quantum Eigensolver, a technique that combines classical and quantum computing to approximate the ground state of chemical systems. This method was a significant step forward in efforts to make practical use of noisy intermediate-scale quantum (NISQ) devices.Challenges and Innovations: The conversation touches on the challenges of variational algorithms, such as the barren plateau problem, and how Alán's group has been working on innovative solutions to overcome these hurdles.Introduction to GQE: Alán introduces the Generative Quantum Eigensolver, a new approach that leverages generative models like transformers to optimize quantum circuits without relying on quantum gradients. This method aims to make quantum computing more efficient and practical.Future of Quantum Computing: The discussion explores the potential future workflows in quantum computing, where hybrid architectures combining classical and quantum computing will be essential. Alán shares his vision of how GQE could be foundational in this new era.Broader Applications: Beyond chemistry, the GQE technique has potential applications in quantum machine learning and other variational algorithms, making it a versatile tool in the quantum computing toolkit.Mentioned in this episode:A variational eigenvalue solver on a quantum processor: Foundational paper on VQE technique.The generative quantum Eigensolver (GQE) and its application for ground state search: Alan's latest paper on GQE and its applications.Tequila Framework: An extensible software framework for VQE experiments.The Meta-Variational Quantum Eigensolver (Meta-VQE): Learning energy profiles of parameterized Hamiltonians for quantum simulation: A paper on learning across potential energy surfaces.Quantum autoencoders for efficient compression of quantum data: Early work on quantum autoencoders for molecular design.Beyond NISQ: The Megaquop Machine: John Preskill's slides from Q2B SV 2024. I think John is great, but "megaquop" is very "fetch."Myths around quantum computation before full fault tolerance: what no-go theorems rule out and what they don't: A paper discussing myths and truths about quantum computing.Stay tuned for more exciting episodes and deep dives into the world of quantum computing. If you enjoyed this episode, please subscribe, review, and share it on your preferred social media platforms. Thank you for listening!

Welcome to another episode of The New Quantum Era, hosted by Sebastian Hassinger and Kevin Rowney. Today, we have the privilege of speaking with Dr. Robert Schoelkopf, Sterling Professor of Applied Physics at Yale, Director of the Yale Quantum Institute, and CTO and co-founder at Quantum Circuits, Inc. Dr. Schoelkopf is a pioneering figure in the field of quantum computing, particularly known for his contributions to the development of the transmon qubit architecture. In this episode, we delve into the history and future of quantum computing, focusing on the latest advancements in error correction and the innovative dual rail qubit architecture.Key Highlights:Historical Context and Contributions: Dr. Schoelkopf discusses the early days of quantum computing at Yale, including the development of the transmon qubit architecture, which has been foundational for superconducting qubits.Introduction to Dual Rail Qubits: Explanation of the dual rail qubit architecture, which promises significant improvements in error detection and correction, potentially reducing the overhead required for fault-tolerant quantum computing.Error Correction Strategies: Insights into how the dual rail qubit architecture simplifies the detection and correction of errors, making quantum error correction more efficient and scalable.Modular Approach to Quantum Computing: Discussion on the modular design of quantum systems, which allows for easier scaling and maintenance, and the potential for interconnecting quantum modules via microwave photons.Future Prospects and Real-World Applications: Dr. Schoelkopf shares his vision for the future of quantum computing, including the commercial deployment of Quantum Circuits, Inc's new quantum devices and the ongoing collaboration between theoretical and experimental approaches to advance the field.Mentioned in this Episode:Yale Quantum InstituteQuantum Circuits Inc. announces Aqumen SeekerJoin us as we explore these groundbreaking advancements and their implications for the future of quantum computing.

In this episode of The New Quantum Era, Sebastian talks with Martin Schultz, Professor at TU Munich and board member of the Leibniz Supercomputing Center (LRZ) about the critical need to integrate quantum computers with classical supercomputing resources to build practical quantum solutions. They discuss the Munich Quantum Valley initiative, focusing on the challenges and advancements in merging quantum and classical computing.Main Topics Discussed:The Genesis of Munich Quantum Valley: The Munich Quantum Valley is a collaborative project funded by the Bavarian government to advance quantum research and development. The project quickly realized the need for software infrastructure to bridge the gap between quantum hardware and real-world applications.Building a Hybrid Quantum-Classical Computing Infrastructure: LRZ is developing a software stack and web portal to streamline the interaction between their HPC system and various quantum computers, including superconducting and ion trap systems. This approach enables researchers to leverage the strengths of both classical and quantum computing resources seamlessly.Hierarchical Scheduling for Efficient Resource Allocation: LRZ is designing a multi-tiered scheduling system to optimize resource allocation in the hybrid environment. This system considers factors like job requirements, resource availability, and the specific characteristics of different quantum computing technologies to ensure efficient execution of quantum workloads.Open-Source Collaboration and Standardization: LRZ aims to make its software stack open-source, recognizing the importance of collaboration and standardization in the quantum computing community. They are actively working with vendors to define standard interfaces for integrating quantum computers with HPC systems.Addressing the Unknown in Quantum Computing: The field of quantum computing is evolving rapidly, and LRZ acknowledges the need for adaptable solutions. Their architectural design prioritizes flexibility, allowing for future pivots and the incorporation of new quantum computing models and intermediate representations as they emerge.Munich Quantum ValleyIEEE Quantum

Welcome to The New Quantum Era, a podcast hosted by Sebastian Hassinger and Kevin Rowney. In this episode, we have an insightful conversation with Dr. Toby Cubitt, a pioneer in quantum computing, a professor at UCL, and a co-founder of Phasecraft. Dr. Cubitt shares his deep understanding of the current state of quantum computing, the challenges it faces, and the promising future it holds. He also discusses the unique approach Phasecraft is taking to bridge the gap between theoretical algorithms and practical, commercially viable applications on near-term quantum hardware.Key Highlights:The Dual Focus of Phasecraft: Dr. Cubitt explains how Phasecraft is dedicated to algorithms and applications, avoiding traditional consultancy to drive technology forward through deep partnerships and collaborative development.Realistic Perspective on Quantum Computing: Despite the hype cycles, Dr. Cubitt maintains a consistent, cautiously optimistic outlook on the progress toward quantum advantage, emphasizing the complexity and long-term nature of the field.Commercial Viability and Algorithm Development: The discussion covers Phasecraft's strategic focus on material science and chemistry simulations as early applications of quantum computing, leveraging the unique strengths of quantum algorithms to tackle real-world problems.Innovative Algorithmic Approaches: Dr. Cubitt details Phasecraft's advancements in quantum algorithms, including new methods for time dynamics simulation and hybrid quantum-classical algorithms like Quantum enhanced DFT, which combine classical and quantum computing strengths.Future Milestones: The conversation touches on the anticipated breakthroughs in the next few years, aiming for quantum advantage and the significant implications for both scientific research and commercial applications.Papers Mentioned in this episode:Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computerTowards near-term quantum simulation of materialsEnhancing density functional theory using the variational quantum eigensolverDissipative ground state preparation and the Dissipative Quantum EigensolverOther sites:PhasecraftDr. Toby Cubitt's personal site

In this episode of The New Quantum Era podcast, hosts Sebastian Hassinger and Kevin Roney interview Jessica Pointing, a PhD student at Oxford studying quantum machine learning.Classical Machine Learning ContextDeep learning has made significant progress, as evidenced by the rapid adoption of ChatGPTNeural networks have a bias towards simple functions, which enables them to generalize well on unseen data despite being highly expressiveThis “simplicity bias” may explain the success of deep learning, defying the traditional bias-variance tradeoffQuantum Neural Networks (QNNs)QNNs are inspired by classical neural networks but have some key differencesThe encoding method used to input classical data into a QNN significantly impacts its inductive biasBasic encoding methods like basis encoding result in a QNN with no useful bias, essentially making it a random learnerAmplitude encoding can introduce a simplicity bias in QNNs, but at the cost of reduced expressivityAmplitude encoding cannot express certain basic functions like XOR/parityThere appears to be a tradeoff between having a good inductive bias and having high expressivity in current QNN frameworksImplications and Future DirectionsCurrent QNN frameworks are unlikely to serve as general purpose learning algorithms that outperform classical neural networksFuture research could explore:Discovering new encoding methods that achieve both good inductive bias and high expressivityIdentifying specific high-value use cases and tailoring QNNs to those problemsDeveloping entirely new QNN architectures and strategiesEvaluating quantum advantage claims requires scrutiny, as current empirical results often rely on comparisons to weak classical baselines or very small-scale experimentsIn summary, this insightful interview with Jessica Pointing highlights the current challenges and open questions in quantum machine learning, providing a framework for critically evaluating progress in the field. While the path to quantum advantage in machine learning remains uncertain, ongoing research continues to expand our understanding of the possibilities and limitations of QNNs.Paper cited in the episode:Do Quantum Neural Networks have Simplicity Bias?

Sebastian is joined by Susanne Yelin, Professor of Physics in Residence at Harvard University and the University of Connecticut.Susanne's Background:Fellow at the American Physical Society and Optica (formerly the American Optics Society)Background in theoretical AMO (Atomic, Molecular, and Optical) physics and quantum opticsTransition to quantum machine learning and quantum computing applicationsQuantum Machine Learning ChallengesLimited to simulating small systems (6-10 qubits) due to lack of working quantum computersBarren plateau problem: the more quantum and entangled the system, the worse the problemMoved towards analog systems and away from universal quantum computersQuantum Reservoir ComputingSubclass of recurrent neural networks where connections between nodes are fixedLearning occurs through a filter function on the outputsSuitable for analog quantum systems like ensembles of atoms with interactionsAdvantages: redundancy in learning, quantum effects (interference, non-commuting bases, true randomness)Potential for fault tolerance and automatic error correctionQuantum Chemistry ApplicationGoal: leverage classical chemistry knowledge and identify problems hard for classical computersCollaboration with quantum chemists Anna Krylov (USC) and Martin Head-Gordon (UC Berkeley)Focused on effective input-output between classical and quantum computersSimulating a biochemical catalyst molecule with high spin correlation using a combination of analog time evolution and logical gatesDemonstrating higher fidelity simulation at low energy scales compared to classical methodsFuture DirectionsExploring fault-tolerant and robust approaches as an alternative to full error correctionOptimizing pulses tailored for specific quantum chemistry calculationsInvestigating dynamics of chemical reactionsCalculating potential energy surfaces for moleculesImplementing multi-qubit analog ideas on the Rydberg atom array machine at HarvardDr. Yelin's work combines the strengths of analog quantum systems and avoids some limitations of purely digital approaches, aiming to advance quantum chemistry simulations beyond current classical capabilities.

Questions, suggestions, or feedback? Send us a message!In this episode we talk to Ali Eslami, who is a Principal Research Scientist at Google DeepMind studying artificial intelligence. He's currently also Director of Research Strategy for Google Gemini. Prior to this, he led a team at DeepMind working on generative models, self-supervised learning, multi-modal large language models. He also led the Quantum Chemistry and Materials team in Science.Prior to DeepMind, he was a post-doctoral researcher at Microsoft Research Cambridge. He did his PhD at the University of Edinburgh, where he was a Carnegie scholar. During that time he was also a visiting researcher at Oxford University in the visual geometry group.We talk about:The emergence of the AI landscapeWhether you need a body to understand the worldHuman perception slash PlatoThe difference between how humans and AI learnHow AI models are built and trainedDifferences between Machine learning and Generative AIMarcus Aurelius and how amazing the human brain isWhether we are about to surrender our sovereignty to AILet's log in!Web: www.whereshallwemeet.xyzTwitter: @whrshallwemeetInstagram: @whrshallwemeet

Welcome back to The New Quantum Era, the podcast where we explore the cutting-edge developments in quantum computing. In today's episode, hosts Sebastian Hassinger and Kevin Rowe are joined by Dr. Julien Camirand Lemyre, the CEO and co-founder of Nord Quantique. Nord Quantique is a startup spun out from the University of Sherbrooke in Quebec, Canada, and is making significant strides in the field of quantum error correction using innovative superconducting qubit designs. In this conversation, Dr. Camirand Lemyre shares insights into their groundbreaking research and the innovative approaches they are taking to improve quantum computing systems.Listeners can expect to learn about:Dr. Camirand Lemyre's journey into quantum computing and the founding of Nord Quantique.The unique approach Nord Quantique is taking with Bosonic code qubits and how they differ from traditional fermionic qubits.The recent research paper by Nord Quantique that demonstrates autonomous quantum error correction, a significant step forward in the field.The potential impact of these advancements on reducing the overhead of error correction in quantum systems.Future directions and next steps for Nord Quantique, including further optimization and development of their quantum technology.Highlights:Julien Camirand Lemyre's Background: Dr. Camirand Lemyre shares his academic journey and how it led to the founding of Nord Quantique.Bosonic Qubits: An exploration of how Nord Quantique is leveraging Bosonic qubits for better quantum error correction.Autonomous Quantum Error Correction: Discussion on the recent research paper and its implications for the field of quantum computing.Technological Innovations: Insights into the specific technological advancements and controls Nord Quantique is developing.Future Plans: Dr. Camirand Lemyre shares what's next for Nord Quantique and their ongoing research efforts.Mentioned in this episode:Nord Quantique: WebsiteUniversity of Sherbrooke: WebsiteInstitut Quantique: WebsiteQ-Ctrl: WebsiteTune in to hear about these exciting developments and what they mean for the future of quantum computing!

Welcome to another episode of The New Quantum Era! Today, we have a fascinating conversation with Professor Jens Eisert, a veteran in the field of quantum information science. Jens takes us through his journey from his PhD days, delving into the role of entanglement in quantum computing and communication, to leading a team that bridges theoretical and practical aspects of quantum technology. In this episode, we explore the fine line between classical and quantum worlds, the potential and limitations of near-term quantum devices, and the role of theoretical frameworks in advancing quantum technologies. Here are some key highlights from our conversation:Theoretical Limits and Practical Applications: Jens discusses his team's work on establishing theoretical limits and guidelines for what can be achieved with current quantum hardware, focusing on both long-term and near-term goals.Benchmarking and Certification: The importance of randomized benchmarking techniques is highlighted, including their role in diagnosing and improving quantum devices. Jens elaborates on how these techniques can provide detailed diagnostic information and their limitations in scalability.Error Mitigation and Non-Unit Noise: Insights into the impact of non-unit noise on quantum circuits and the limitations of error mitigation techniques, particularly concerning their scalability.Quantum Simulation and Near-Term Devices: Jens shares his cautious optimism about the potential for near-term quantum devices to achieve practical applications, particularly in the field of quantum simulation.Innovative and Foundational Research: The conversation touches on Jens' interest in both pioneering new fields and concluding existing ones. He shares intriguing research on the emergence of temperature in quantum systems and its potential implications for quantum algorithms.

Welcome to The New Quantum Era podcast! In today's episode, we dive deep into the fascinating world of quantum computing and the broader tech landscape with Anastasia Marchenkova, who has a unique blend of experiences in startups, academia, and venture capital. Join us as we explore the intersections of technology, business, and education, and uncover the challenges and opportunities that lie ahead in the quantum era.Highlights from the Interview:Journey into Quantum Computing: Learn how our Anastasia's early experiences in quantum telecommunications and a serendipitous encounter with a startup led to a pivotal role at Rigetti Computing.Building and Scaling Startups: Insights into the startup ecosystem, including the importance of customer discovery, the challenges of scaling deep tech companies, and the role of non-dilutive funding from sources like DARPA.Interdisciplinary Innovations: Discover how principles from quantum computing are being applied to other cutting-edge fields like thermodynamic computing and AI, and the potential for cross-disciplinary breakthroughs.The Importance of Communication and Networking: Discussion on the critical role of communication skills in science and technology, and how building connections can drive innovation and collaboration.Future Vision and Education: Our guest's ambitious plans for bridging the gap between deep tech and the broader public through educational initiatives and media, aiming to inspire the next generation of technologists and entrepreneurs.Mentioned in This Episode:Rigetti Computing: A pioneering quantum computing startup.DARPA (Defense Advanced Research Projects Agency): A key source of non-dilutive funding for deep tech projects.Quantum Benchmark: A company specializing in error characterization and mitigation for quantum computing, acquired by Keysight Technologies.Thermodynamic Computing: An emerging field aimed at reducing energy consumption in AI, with notable contributions from researchers like Patrick Coles, who founded Normal Computing, and Guillaume Verdun, who recently founded Extropic.VC Lab: An incubator program for training emerging venture capitalists.

In this episode of The New Quantum Era, Kevin and Sebastian are joined by a special guest, Paul Cadden-Zemansky, Associate Professor of Physics at Bard College and Director of the Physics Program. Paul is also on the Executive Committee for the International Year of Quantum at the American Physical Society and has been actively involved in the UN's recent declaration of 2025 as the International Year of Quantum Science and Technology. With the UN resolution now official, Paul joins us to discuss the significance and plans for this global celebration of quantum mechanics.Listeners can expect an insightful conversation covering the following key points:The Significance of the International Year of Quantum Science and Technology: Paul explains the origins and importance of the UN's declaration, marking the 100th anniversary of quantum mechanics and its impact over the past century.Global Collaboration and Outreach: Discussion on the international cooperation involved in getting the resolution passed, including the involvement of various scientific societies and countries, and the emphasis on public awareness and education.Challenges and Strategies for Quantum Communication: Paul shares his thoughts on the difficulties of communicating complex quantum concepts to the public and the strategies to make quantum mechanics more accessible and engaging.Future Plans and Initiatives: Insights into the plans for 2025, including potential events, educational resources, and how individuals and organizations can get involved in promoting quantum science.Innovations in Quantum Visualization: Paul's work with students on new methods for visualizing complex quantum systems, including the development of tools to help understand two-qubit states.Mentioned in this episode:UN Declaration of 2025 as the International Year of Quantum Science and TechnologyAmerican Physical Society (APS)Quantum 2025 Website: quantum2025.orgPaul's Research Paper on Quantum Visualization on ArxivPaul's web-based visualization toolJoin us as we delve into the exciting world of quantum mechanics and explore the plans for celebrating its centennial year!

In this episode of The New Quantum Era, host Sebastian Hassinger comes to you again from Rensselaer Polytechnic Institute, during their launch event in April 2024 for the deployment of an IBM System One quantum computer on their campus. RPI invited me to lead a panel discussion with members of their faculty and IT team, and provided a podcast studio for my use for the remainder of the week, where he recorded a series of interviews. In this episode Sebastian interviews Di Fang, an assistant professor of mathematics at Duke University and member of the Duke Quantum Center. They discuss Dr. Fang's research on the theoretical aspects of quantum computing and quantum simulation, the potential for quantum computers to demonstrate quantum advantage over classical computers, and the need to balance theory with practical applications. Key topics and takeaways from the conversation include:- Dr. Fang's background as a mathematician and how taking a quantum computing class taught by Umesh Vazirani at UC Berkeley sparked her interest in the field of quantum information science- The potential for quantum computers to directly simulate quantum systems like molecules, going beyond the approximations required by classical computation- The importance of both proving theoretical bounds on quantum algorithms and working towards practical resource estimation and hardware implementation to demonstrate real quantum advantage- The stages of development needed to go from purely theoretical quantum advantage to solving useful real-world problems, and the role of Google's quantum XPRIZE competition in motivating practical applications- The long-term potential for quantum computing to have a disruptive impact like AI, but the risk of a "quantum winter" if practical results don't materialize, and the need for continued fundamental research by academics alongside industry efforts

In this episode of The New Quantum Era, we're diving deep into the intersection of quantum computing and chemistry with Jamie Garcia, Technical Program Director for Algorithms and Scientific Partnerships Group with IBM Quantum. Jamie brings a unique perspective, having transitioned from a background in chemistry to the forefront of quantum computing. At the heart of our discussion is the deployment of the IBM Quantum computer at RPI, marking a significant milestone as the first of its kind on a university campus. Jamie shares insights into the challenges and breakthroughs in using quantum computing to push the boundaries of computational chemistry, highlighting the potential to revolutionize how we approach complex chemical reactions and materials science.Throughout the interview, Jamie discusses the evolution of quantum computing from a theoretical novelty to a practical tool in scientific research, particularly in chemistry. We explore the limitations of classical computational methods in chemistry, such as the reliance on approximations, and how quantum computing offers the promise of more accurate and efficient simulations. Jamie also delves into the concept of "utility" in quantum computing, illustrating how IBM's quantum computers are beginning to perform tasks that challenge classical computing capabilities. The conversation further touches on the significance of quantum computing in education and research, the integration of quantum systems with high-performance computing (HPC) centers, and the future of quantum computing in addressing complex problems in chemistry and beyond.Jamie's homepage at IBM ResearchHow Quantum Computing Could Remake Chemistry, an article by Jamie Garcia in Scientific American

Sebastian interviews Professor Lin Lin during the System One ribbon cutting event at Rensselaer Polytechnic Institute in Troy, NY. Professor Lin Lin's journey from computational mathematics to quantum chemistry has been driven by his fascination with modeling nature through computation. As a student at Peking University, he was intrigued by the concept of first principles modeling, which aims to simulate chemical systems using minimal information such as atomic species and positions. Lin Lin pursued this interest during his PhD at Princeton University, working with mathematicians and chemists to develop better algorithms for density functional theory (DFT). DFT reformulates the high-dimensional quantum chemistry problem into a more tractable three-dimensional one, albeit with approximations. While DFT works well for about 95% of cases, it struggles with large systems and the remaining "strongly correlated" 5%. Lin Lin and his collaborators radically reformulated DFT to enable calculations on much larger systems, leading to his faculty position at UC Berkeley in 2014.In 2018, a watershed year marked by his tenure, Lin Lin decided to tackle the challenging 5% of strongly correlated quantum chemistry problems. Two emerging approaches showed promise: artificial intelligence (AI) and quantum computing. Both AI and quantum computing are well-suited for handling high-dimensional problems, albeit in fundamentally different ways. Lin Lin aimed to leverage both approaches, collaborating on the development of deep molecular dynamics using AI to efficiently parameterize interatomic potentials. On the quantum computing side, his group worked to reformulate quantum chemistry for quantum computers. Despite the challenges posed by the COVID-19 pandemic, Lin Lin and his collaborators have made significant strides in combining AI and quantum computing to push the boundaries of computational chemistry simulations, bridging the fields of mathematics, chemistry, AI, and quantum computing in an exciting new frontier.Thanks again to Professor Lin and everyone at RPI for hosting me and providing such an amazing opportunity to interview so many brilliant researchers. 

Sebastian is joined by Olivia Lanes, Global Lead for Education and Learning, IBM Quantum to discuss quantum education, IBM's efforts to provide resources for workforce development, the importance of diversity and equality in STEM, and her own personal journey from experimental physics to community building and content creation. Recorded on the RPI campus during the launch event of their IBM System One quantum computer. Key Topics:- Olivia's background in experimental quantum physics and transition to education at IBM Quantum- Lowering barriers to entry in quantum computing education through IBM's Quantum Experience platform, Qiskit open source framework, and online learning resources- The importance of reaching students early, especially women and people of color, to build a diverse quantum workforce pipeline- Quantum computing as an interdisciplinary field requiring expertise across physics, computer science, engineering, and other domains- The need to identify real-world problems and use cases that quantum computing can uniquely address- Balancing the hype around quantum computing's potential with setting realistic expectations - International collaboration and providing global access to quantum education and technologies- The unique opportunity of having an IBM quantum computer on the RPI campus to inspire students and enable cutting-edge researchResources Mentioned: - IBM Quantum learning platform - "Introduction to Classical and Quantum Computing" by Tom Wong- Qiskit YouTube channelIn summary, this episode explores the current state of quantum computing education, the importance of making it accessible to a broad and diverse group of students from an early age, and how academia and industry can partner to build the quantum workforce of the future. Olivia provides an insider's perspective on IBM Quantum's efforts in this space.

For this episode, Sebastian is on his own, as Kevin is taking a break. Sebastian accepted a gracious invite to the ribbon cutting event at Rensselaer Polytechnic Institute in Troy, NY, where the university was launching their on-campus IBM System One -- the first commercial quantum computer on a university campus!This week, the episode is a recording a live event hosted by Sebastian. The panel of RPI faculty and staff talk about their decision to deploy a quantum computer in their own computing center -- a former chapel from the 1930s! - what they hope the RPI community will do with the device, and the role of academic partnership with private industry at this stage of the development of the technology. Joining Sebastian on the panel were:James Hendler, Professor and Director of Future of Computing InstituteJackie Stampalia, Director, Client Information Services, DotCIOOsama Raisuddin, Research Scientist, RPILucy Zhang, Professor, Mechanical, Aerospace, and Nuclear Engineering

Anima Anandkumar is a Bren Professor at Caltech. Her work developing novel AI algorithms enables and accelerates scientific applications of AI, including scientific simulations, weather forecasting, autonomous drone flights, and drug design. She has received best paper awards at venues such as NeurIPS and the ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research. She holds degrees from the IIT Madras and Cornell University. She has conducted postdoctoral research at MIT. She was previously principal scientist at Amazon Web Services and senior director at Nvidia. Anima's favorite book: Hyperspace (Author: Michio Kaku)(00:00) Introduction(00:10) The Impact of AI on Science(02:25) AI Disrupting Physics(03:02) Challenges in Fluid Dynamics(06:21) Achieving Orders of Magnitude Speedup(10:43) AI Discovering New Laws of Physics(11:45) Complexity of Fluid Dynamics(15:54) Simulating Physical Phenomena with AI(22:23) AI for Drones in Strong Winds(25:16) Optimizing Experiments with AI(28:19) AI in Quantum Chemistry(32:38) Technological Breakthroughs in AI(33:23) Rapid Fire Round--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi 

Dr. Martin Savage is a professor of nuclear theory and quantum informatics at the University of Washington. His research explores using quantum computing to investigate high energy physics and quantum chromodynamics.Dr. Savage transitioned from experimental nuclear physics to theoretical particle physics in his early career. Around 2017-2018, limitations in classical computing for certain nuclear physics problems led him to explore quantum computing.In December 2022, Dr. Savage's team used 112 qubits on IBM's Heron quantum processor to simulate hadron dynamics in the Schwinger Model. This groundbreaking calculation required 14,000 CNOT gates at a depth of 370. Error mitigation techniques, translational invariance in the system, and running the simulation over the December holidays when the quantum hardware was available enabled this large-scale calculation.While replacing particle accelerator experiments is not the goal, quantum computers could eventually complement experiments by simulating environments not possible in a lab, like the interior of a neutron star. Quantum information science is increasingly important in the pedagogy of particle physics. Advances in quantum computing hardware and error mitigation are steadily enabling more complex simulations.The incubator for quantum simulation at University of Washington brings together researchers across disciplines to collaborate on using quantum computers to advance nuclear and particle physics.Links:Dr. Savage's home pageThe InQubator for Quantum SimulationQuantum Simulations of Hadron Dynamics in the Schwinger Model using 112 QubitsIBM's blog post which contains some details regarding the Heron process and the 100x100 challenge.

In this episode, Sebastian and Kevin interview Professor Yufei Ding, an associate professor at UC San Diego, who specializes in the intersection of theoretical physics and computer science. They discuss Dr. Ding's research on system architecture in quantum computing and the potential impact of AI on the field. Dr. Ding's work aims to replicate the critical stages of classical computing development in the context of quantum computing. The conversation explores the challenges and opportunities in combining computer science, theoretical and experimental quantum computing, and the potential applications of quantum computing in machine learning.TakeawaysYufei Ding's research focuses on system architecture in quantum computing, aiming to replicate the critical stages of classical computing development in the context of quantum computing.The combination of computer science, theoretical and experimental quantum computing is a unique approach that offers new insights and possibilities.AI and machine learning have the potential to greatly impact quantum computing, and finding a generically applicable quantum advantage in machine learning could have a transformative effect.The development of a simulation framework for exploring different system architectures in quantum computing is crucial for advancing the field and identifying viable outcomes.Chapters00:00 Introduction and Background02:12 Yufei Ding's System Architecture03:08 AI and Quantum Computing04:19 Conclusion

In this special solo episode recorded at Q2B Paris 2024, Sebastian talks with Houlong Zhuang, assistant professor at Arizona State University, about his work in material science. Dr. Zhuang discusses his research on using quantum computing and machine learning to simulate high entropy alloy materials. The goal is to efficiently predict material properties and discover new material compositions.Density functional theory (DFT) is a commonly used classical computational method for materials simulations. However, it struggles with strongly correlated electronic states. Quantum computers have the potential to efficiently simulate these challenging quantum interactions.The research uses classical machine learning models trained on experimental data to narrow down the vast combinatorial space of possible high entropy alloy compositions to a smaller set of promising candidates. This is an important screening step.Quantum machine learning and quantum simulation are then proposed to further refine the predictions and simulate the quantum interactions in the materials more accurately than classical DFT. This may enable prediction of properties like stability and elastic constants.Key challenges include the high dimensionality of the material composition space and the noise/errors in current quantum hardware. Hybrid quantum-classical algorithms leveraging the strengths of both are a promising near-term approach.Ultimately, the vision is to enable inverse design - using the models to discover tailored material compositions with desired properties, potentially reducing experimental trial-and-error. This requires highly accurate, explainable models.In the near-term, quantum advantage may be realized for specific local properties or excited states leveraging locality of interactions. Fully fault-tolerant quantum computers are likely needed for complete replacement of classical DFT.Continued development of techniques like compact mappings, efficient quantum circuit compilations, active learning, and quantum embeddings of local strongly correlated regions will be key to advancing practical quantum simulation of realistic materials.In summary, strategically combining machine learning, quantum computing, and domain knowledge of materials is a promising path to accelerating materials discovery, but significant research challenges remain to be overcome through improved algorithms and hardware. A hybrid paradigm will likely be optimal in the coming years.Some of Dr. Zhuang's papers include: Quantum machine-learning phase prediction of high-entropy alloysSudoku-inspired high-Shannon-entropy alloysMachine-learning phase prediction of high-entropy alloys

Investors and companies in the life science industry have been betting a lot of money over the last few years on a single idea: that computation will help us get a lot better at developing new drugs. But the word “computation” covers a pretty broad range of techniques. And the reason that there are dozens if not hundreds of computational drug discovery startups popping up is that everyone has their own hypothesis about what specific kind of computation is going to be the most powerful.For example, you might be convinced that the most important thing is to understand the physics of protein-protein interactions, at an atomic level. And so you would put your money into atomic-scale simulations that show how proteins fold or unfold to form different shapes under different conditions. Or you might think that it's more important to model proteins at the molecular scale, to make predictions about whether and how a particular drug molecule might dock with a target protein. Or you might think that it's smarter to try to model whole cells and see how different molecular pathways interact to affect different functions of the cell. Or you might not care about the details of physics- or chemistry-based models at all. In that case could just take a big generative AI model, similar to a large language model, and train it on huge amounts of unlabeled data about genes and proteins in diseases cells and healthy cells to see what kinds of predictions it comes up with.It's too early to say which of these computational approaches—and which level or scale of focus—is going to be the most fruitful. But maybe you don't have to choose. Maybe you can bet on all of these different ideas, all at once. Harry's guests this week are the CEO and CSO of a startup that's taking an all-of-the-above approach. It's called Deep Origin, and it was formed last year from the merger of two companies founded by theoretical chemist Garegin Papoian and software builder Michael Antonov. Antonov helped to found the virtual reality hardware company Oculus. After Facebook acquired Oculus, he got curious about longevity and how software could help untangle the trillions of gene-protein interactions that mediate health and disease. He founded a company called Formic Labs to dig into that problem, and last year the company changed its name to Deep Origin. Papoian, meanwhile, is a former academic scientist who's who also took the helm as CEO of his startup AI and who's interested in how to use software to model molecular dynamics and quantum chemistry. Recently Antonov and Papoian decided to join forces, and Biosim AI merged into Deep Origin. They say the company's philosophy is that physics-based modeling by itself won't be enough to build a powerful drug discovery engine. But neither will generative AI, which requires more training data than lab scientists will ever be able to provide. They think the only reasonable approach today is to combine the two, and use both physics and AI to try to get better at predicting which molecules could become effective drugs.Exactly how Antonov and Papoian came to their conclusion, and how that integration is playing out, was the main theme of this week's conversation. It's important stuff, because if Deep Origin is right, then a lot of other more specialized biotech and techbio startups could be going down the wrong path. For a full transcript of this episode, please visit our episode page at http://www.glorikian.com/podcast Please rate and review The Harry Glorikian Show on Apple Podcasts or Spotify! Here's how to do that on Apple Podcasts:1. Open the Podcasts app on your iPhone, iPad, or Mac. 2. Navigate to The Harry Glorikian Show podcast. You can find it by searching for it or selecting it from your library. Just note that you'll have to go to the series page which shows all the episodes, not just the page for a single episode.3. Scroll down to find the subhead titled "Ratings & Reviews."4. Under one of the highlighted reviews, select "Write a Review."5. Next, select a star rating at the top — you have the option of choosing between one and five stars. 6. Using the text box at the top, write a title for your review. Then, in the lower text box, write your review. Your review can be up to 300 words long.7. Once you've finished, select "Send" or "Save" in the top-right corner. 8. If you've never left a podcast review before, enter a nickname. Your nickname will be displayed next to any reviews you leave from here on out. 9. After selecting a nickname, tap OK. Your review may not be immediately visible.On Spotify, the process is similar. Open the Spotify app, navigate to The Harry Glorikian Show, tap the three dots, then tap "Rate Show." Thanks!

No guest this episode! Instead, Kevin and Sebastian have a conversation looking back on the events of 2023 in quantum computing, wiht a particular focus on three trends: some waning of enthusiasm in the private sector, a surge of investments from the public sector as national and regional governments invest in the quantum computing value chain and the shift from a focus on NISQ to logical qubits. Qureca's overview of public sector quantum initiatives in 2023Preskill's NISQ paper from 2018 (yes, I was off by a few years!)The paper that introduced the idea of VQE: A variational eigenvalue solver on a quantum processor by Peruzzo et alA variation on VQE that still has some promise An adaptive variational algorithm for exact molecular simulations on a quantum computer by Grimsley et alMitiq, a quantum error mitigation framework from Unitary FundPeter Shor's first of its kind quantum error correction in the paper Scheme for reducing decoherence in quantum computer memoryQuantinuum demonstrates color codes to implement a logical qubit on their ion trap machine, H-1Toric codes introduced in Fault-tolerant quantum computation by anyons by Alexei KitaevSurface codes and topological qubits introduced in Topological quantum memory by Eric Dennis, Alexei Kitaev, Andrew Landahl, and John PreskillThe threshold theorem is laid out in Fault-Tolerant Quantum Computation With Constant Error Rate by Dorit Aharonov and Michael Ben-OrThe GKP variation on the surface code appears in Encoding a qubit in an oscillator by Daniel Gottesman, Alexei Kitaev, John PreskillA new LDPC based chip architecture is described in High-threshold and low-overhead fault-tolerant quantum memory by Sergey Bravyi, Andrew W. Cross, Jay M. Gambetta, Dmitri Maslov, Patrick Rall, Theodore J. YoderNeutral atoms are used to create 48 logical qubits in Logical quantum processor based on reconfigurable atom arrays by Vuletic's and Lukin's groups at MIT and Harvard respectivelyIf you have an idea for a guest or topic, please email us.Also, John Preskill has agreed to return to answer questions from our audience so please send any question you'd like Professor Preskill to answer our way at info@the-new-quantum-era.com

Kevin and Sebastian are joined by Dr. Vladan Vuletic, the Lester Wolfe Professor of Physics at the Center for Ultracold Atoms and Research in the Department of Physics at the Massachusetts Institute of TechnologyAt the end of 2023, the quantum computing community was startled and amazed by the results from a bombshell paper published in Nature on December 6th, titled Logical quantum processor based on reconfigurable atom arrays  in which Dr. Vuletic's group collaborated with Dr Mikhail Lukin's group at Harvard to create 48 logical qubits from an array of 280 atoms. Scott Aaronson does a good job of breaking down the results on his blog, but the upshot is that this is the largest number of logical qubits created, and a very large leap ahead for the field. 00:00 Introduction and Background01:07 Path to Quantum Computing03:30 Rydberg Atoms and Quantum Gates08:56 Transversal Gates and Logical Qubits15:12 Implementation and Commercial Potential23:59 Future Outlook and Quantum Simulations30:51 Scaling and Applications32:22 Improving Quantum Gate Fidelity33:19 Advancing Field of View Systems33:48 Closing the Feedback Loop on Error Correction35:29 Quantum Error Correction as a Remarkable Breakthrough36:13 Cross-Fertilization of Quantum Error Correction Ideas

SummaryIn this episode, Sebastian and Kevin are joined by Chiara Decaroli, a quantum physicist and venture capitalist. Chiara shares her unique journey into the field of quantum, starting from a small village in Italy to earning her PhD in quantum physics. She explains the history of ion trapping and how it led to the development of quantum computing. Chiara also discusses the strengths and weaknesses of trapped ion systems and the challenges of investing in early-stage quantum startups. In this conversation, Chiara Decaroli discusses the challenges of assessing quantum technologies and the deep expertise required in the field. She also shares her experience in gaining familiarity with different quantum modalities and the importance of multidisciplinarity in the quantum field. Chiara highlights the skills needed in the quantum industry, emphasizing the need for deep knowledge in physics and specialized segments. She also discusses the importance of cross-disciplinary education and the potential impact of quantum technologies.TakeawaysChiara's path to quantum started from a small village in Italy and led her to earn a PhD in quantum physics at ETH Zurich.Ion trapping is a key technology in quantum computing, and it has a rich history dating back to the 1930s.Trapped ions can be manipulated using laser beams to perform single and two-qubit gates.Trapped ion systems have the advantage of perfect qubits but face challenges in scalability and speed of operations.Investing in quantum startups requires a deep understanding of the field and the ability to navigate the early-stage landscape. Assessing quantum technologies requires deep expertise and a scientific background.Gaining familiarity with different quantum modalities requires extensive reading and talking to experts in the field.The quantum field is highly multidisciplinary, requiring expertise in physics, engineering, software development, and specialized domains.Cross-disciplinary education is important in the quantum field to foster innovation and solve complex problems.The potential impact of quantum technologies is immense, but it is challenging to predict the exact applications and advancements.Chapters00:00 Introduction and Background01:01 Chiara's Path to Quantum08:13 History of Ion Trapping19:47 Implementing Gates with Trapped Ions27:24 Strengths and Weaknesses of Trapped Ion Systems35:49 Venture Capital in Quantum37:55 The Challenges of Assessing Quantum Technologies39:12 Gaining Familiarity with Different Quantum Modalities40:27 The Multidisciplinary Nature of Quantum Technologies41:22 Skills Needed in the Quantum Field42:58 The Importance of Cross-Disciplinary Education44:27 The Potential Impact of Quantum Technologies

This episode is brought to you by the support of Dragonball Legends. Download and play for free from the Apple App store or Google Play.SpaceTime Series 26 Episode 144*Explaining why galaxies hang out with their own kindA new study may have solved one of the most perplexing mysteries in astronomy -- why galaxies in our neighbourhood hang out with their own kind. *NASA's Cold Atom Lab Sets Stage for Quantum Chemistry in SpaceFor the first time in space, scientists have produced a quantum gas containing two types of atoms. *North Korea launches a new spy satellite North Korea claims its successfully launched a new spy satellite.*The Science ReportDust storms are increasing dramatically in frequency in Australia.Study claims the impact of screens on children and show a mix of small risks and benefits. Footprints discovered in Victoria show the amazing diversity of Australia's early bird population. Skeptics guide to the House Oversight Committee on UFOsListen to SpaceTime on your favorite podcast app with our universal listen link: https://spacetimewithstuartgary.com/listen and access show links via https://linktr.ee/biteszHQ Additionally, listeners can support the podcast and gain access to bonus content by becoming a SpaceTime crew member through www.bitesz.supercast.com or through premium versions on Spotify and Apple Podcasts. Details on our website at https://spacetimewithstuartgary.com For more SpaceTime and show links: https://linktr.ee/biteszHQ For more podcasts visit our HQ at https://bitesz.com #space #astronomy #podcastThis show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/2458531/advertisement

In this episode of The New Quantum Era, Kevin Rowney and Sebastian Hassinger are joined by Dr. Ieva Čepaitė to delve into the nuanced world of quantum physics and computation. Dr. Čepaitė discusses her journey into quantum computing and her work on counterdiabatic methods used to optimize the control of many body quantum states. She provides an overview of the landscape of new algorithms available within the field. She points out the importance of understanding the hardware to implement a quantum algorithm effectively. The focus then shifts to a discussion on adiabatic and counterdiabatic systems, providing a detailed understanding of both methods. The conversation concludes with a speculative take on future breakthroughs that could emerge with respect to quantum algorithms.00:31 Introduction and Overview of the Interview02:43 Dr. Čepaitė's Journey into Quantum Computing05:23 Dr. Čepaitė's Diverse Experience in Quantum Computing09:37 The Challenges and Opportunities in Quantum Computing11:50 Understanding Adiabatic and Counterdiabatic Systems15:15 The Potential of Counterdiabatic Techniques in Quantum Computing25:49 The Future of Quantum Algorithms32:55 The Role of Quantum Machine Learning35:48 Closing Remarks and Reflections

This interview was recorded at GOTO Aarhus for GOTO Unscripted.gotopia.techRead the full transcription of this interview hereSøren Gammelmark - Quantum Software Architect at KvantifyStig Elkjær Rasmussen - Quantum Engineer with a PhD in Quantum Technology & ML at KvantifyJames Lewis - Principal Consultant & Technical Director at ThoughtworksRESOURCESSøren@SGammelmarklinkedin.com/in/sgammelmarkStiglinkedin.com/in/s-e-rasmussenJames@boicylinkedin.com/in/james-lewis-microservicesDESCRIPTIONQuantum computing today is seen as a promising technology for addressing various challenges and quantum computers are already accessible through major cloud-computing providers, coexisting with classical computing hardware. However, it cannot operate in isolation. Embark on a journey into the integration of quantum computing with classical high-performance computing (HPC).In a new GOTO Unscripted talk, Søren Gammelmark & Stig E. Rasmussen spoke to James Lewis about the significance of solving complex computational problems efficiently by quantum computing and its potential benefits for humanity, especially in areas like drug design, logistics, and finance. They dive deep into the heart of computational conundrums, showcasing quantum computing's promise and revealing Kvantify's ingenious fusion of quantum and classical computing.RECOMMENDED BOOKSJohan Vos • Quantum Computing in Action (available soon)Jack D. Hidary • Quantum Computing: An Applied ApproachSarah C. Kaiser & Christopher Grenade • Learn Quantum Computing with Python and Q#Venkateswaran Kasirajan • Fundamentals of Quantum ComputingBrian Clegg • Quantum Computing: The Transformative Technology of the Qubit RevolutionScott Aaronson • Quantum Computing Since DemocritusWilliam (Chuck) Easttom • Quantum Computing FundamentalsWolfgang Scherer • Mathematics of Quantum ComputingTwitterInstagramLinkedInFacebookLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted almost daily

In this interview, independent quantum information science researcher and consultant, Dr. Cassandra Grenade, shares their journey from triple majoring in physics, math, and computer science to their current consulting work with their firm, Dual Space Solutions. She discusses the concept behind the Quantum Intermediate Representation project (QIR), a tool which represents quantum programs and allows language designers to work independently of specific quantum processor details. Cassandra explains how QIR can solve the 'N to M' problem, where multiple language designs must interface with multiple quantum hardware architectures, thereby preventing the need for creating numerous unique compilers. Further, she dives into the evolution and future of quantum computing, highlighting the need for an industry-wide shift in understanding a quantum computer as more than just a circuit-based entity.00:02 Introduction and Guest Background00:22 Cassandra's Journey into Quantum Computing01:40 The Birth of Dual Space Solutions05:35 The Importance of Interdisciplinary Approach in Quantum Computing08:14 The Challenges and Solutions in Quantum Computing10:42 The Role of Quantum Intermediate Representation (QIR)15:56 The Impact of QIR on Quantum Computing19:01 The Future of Quantum Computing with QIR

Misty Wahl of the Unitary Fund joins us for this episode to talk about quantum error mitigation strategies like zero noise extrapolation (ZNE) and probabilistic error reduction using the Mitiq open source framework. Misty is a lead contributor the the Mitiq project as well as an author on a number of recent papers on the topic. We'll discuss the current state of the art, potential future strategies that leverage machine learning and quantum error correction, and how the Mitiq framework makes it easier to code up and compare mitigation strategies on a wide variety of qubits and SDKs. You can find a sampling of Misty's reasearch papers and talk on her personal website, mistywahl.com Error mitigation in quantum computing with Misty Wall. 0:02 Misty Wahl, technical staff at Unitary Fund, discusses Mitiq project for error mitigation in quantum computers. Misty discusses the growth of quantum computing as a field, with a focus on the Unitary Fund and its role in developing error mitigation techniques. Non-traditional background in quantum computing. 3:31 Misty Wahl shares her non-traditional background in mechanical engineering and project management, transitioning to quantum software development and research through self-study and online courses. Misty joined Mitiq as a full-time technical staff member in March 2022, contributing to quantum error mitigation and software development through their experience with unitary hack. Unitary Hack is a unique event hosted by Unitary Fund, where participants can tag issues in their GitHub repos and community can choose to solve them, providing valuable experience and connections in the quantum computing field. Quantum error mitigation techniques and software frameworks. 8:31 Misty Wahl describes her experience with the Mitiq framework Misty explains how zero noise extrapolation works Misty Wahl: By intentionally adding noise to quantum computations, researchers can extrapolate to the zero noise limit and estimate the optimal value of an expectation value. Quantum error mitigation techniques. 21:57 Misty believes that error mitigation will be crucial in the transition to fault-tolerant quantum computers, and will be used to enhance results at every step. Misty presents a technique combining quantum error mitigation and quantum error correction to scale the distance of the surface code and improve error rate. Quantum computing, open source, and research funding. 28:56 Unitary Fund is building an open-source quantum community through community calls on Discord, with the goal of fostering collaboration and advancing quantum computing. Unitary Fund is a 501(c)(3) nonprofit that funds research and development projects in AI, blockchain, and more through government grants and corporate sponsorships.

In this episode, Kevin and Sebastian are joined by Alex Keesling, CEO of QuEra Computing, for a discussion about his work with neutral atom arrays for simulation and computation. Alex describes his very early introduction to quantum information science as a high school student in Mexico, which kicked off a defining fascination with the field. At MIT as an undergraduate he started working with photonic systems, and as a PdD student with Misha Lukin at Harvard he played an instrumental role in the "atom array" project that eventually was spun out as QuEra. Today, QuEra's Aquila device has 256 atoms in its array that can be used as for analog Hamiltonian simulations, and is accessible on the cloud via AWS' Braket service. Alex explains in detail how these devices work, what physics breakthroughs they rely on for their operation, and where they may be going in the future with work underway on digital gates for universal computation. Additionally Alex takes us through some of the incredible scientific results these devices have already made possible, and discusses what the future of both scientific and commercial applications might hold. The QuEra team published a deep dive into their Aquila device and its capabilities in a paper called Aquila: QuEra's 256-qubit neutral-atom quantum computer. 

In this episode of The New Quantum Era, hosts Sebastian Hassinger and Kevin Rowney interview Daniel Stick, a researcher at Sandia National Lab. They discuss the fascinating world of ion traps, a novel approach to quantum computing architecture. Stick explains the concept of suspending atoms inside a radio frequency Paul trap and utilizing laser pulses to manipulate their qubit states. The conversation also delves into the advantages and limitations of ion traps compared to other architectures. Stick shares exciting advancements in their technology, including the enchilada trap, developed as part of the Quantum Systems Accelerator project. Tune in to learn more about the cutting-edge research happening in the field of quantum computing.[00:07:14] Large scale ion trap. [00:10:29] Entangling gates. [00:14:14] Major innovations in magneto optical systems. [00:17:30] The Name "Enchilada" [00:21:16] Combining chains for collective gates. [00:27:02] Sympathetic cooling and decoherence. [00:30:16] Unique CMOS application. [00:33:08] CMOS compatible photonics. [00:38:04] More breakthroughs on accuracy. [00:41:39] Scaling quantum computing systems. [00:45:00] Private industry and technology scaling. [00:51:36] Ion trap technology progress. [00:54:39] Spreading the word and building community. 00:01:15 - "So these architectures have, I think, powerful advantages versus other architectures." 00:18:30 - "So that was the name." 00:23:34 - "That's correct. That's that is one of the selling points for trapped ion quantum computing is that there is no threshold temperature at which you make the qubit go from behaving really well to behaving, you know, above which things would operate really poorly." 00:35:37 - "That is the grand vision that you've got this chip sitting inside of a chamber, and a bunch of digital signals go in and out of it." 00:38:40 - "What's a few exponents between friends anyway?" 00:41:39 - "That is one of the things that we have to think about is our gates are just, I don't know, 100 times to a thousand times slower than superconducting quantum computing systems or solid state quantum computing systems and ways to get around that have to leverage other kind of other attempts that are not limited by the physical speeds that are possible with an ion trap." 00:48:43 - "Do you have a paperclip, Kevin? That's all you need."

Title: Operating at the Quantum Limit with Dr. Dana Anderson“In 25 to 30 years, quantum is going to be in the kitchen, sitting next to the toaster.” — Dr. Dana AndersonDescription: Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger. Today, they are joined by Dr. Dana Anderson to talk about quantum computation, simulation, and sensing technologies using ultracold neutral atoms. Dr. Anderson is Chief Strategy Officer of Infleqtion, which was founded in 2007 as ColdQuanta and recently changed its name after acquiring Super.tech. Dr. Anderson is an applied physicist trained in quantum optics with extensive experience in optical neural networks, signal processing, precision measurement, and what he calls the field of “atomtronics.”Key Takeaways:[3:34] Dr. Anderson shares how he found his passion in physics and his entry point to quantum information science in general.[5:13] How do lasers make atoms cold?[7:13] Does Dr. Anderson think that what was learned from building atomic clocks and quantum devices has accelerated the development and maturation of the technologies behind the neutral atom arrays?[10:44] Dr. Anderson talks about the optical lattice.[12:41] Dr. Anderson addresses the early dawn of the transistor and the parallels with what he calls our age of atomtronics.[14:00] Does Dr. Anderson think components on the optical side continue to shrink?[15:17] Dr. Anderson explains how he uses machine learning to train an interferometer.[17:44] Would machine learning assist in qubit control?[25:05] What kind of new sensing technologies will emerge into the market?[27:31] Dr. Anderson shares NASA developments regarding climate change.[29:31] There will be a home-use application for quantum (and it will be boring, according to Dr. Anderson).[31:48] Dr. Anderson discusses the benefits of meeting quantum and machine learning.[36:06] Dr. Anderson helps us understand how the Infleqtion platform and quantum computation could emerge as a set of practical outcomes.[45:02] Sebastian and Dr. Anderson discuss Infleqtion's acquisition of Super.tech and what they have been working on.[47:18] What does Dr. Anderson see on the horizon for the next 12 to 24 months for neutral atoms?Mentioned in this episode:Visit The New Quantum Era PodcastThe Nobel Prize in physics for Bose Einstein Condensates Learn more about InfleqtionNASA Cold Atom Lab Tweetables and Quotes:“Every atom is a qubit, and every atom is just like every other atom, and it is as perfect as it could be.“ — Dr. Dana Anderson“Roughly speaking, the way to think about everything Infleqtion can be boiled down to atomtronics.” — Dr. Dana Anderson“If you are not operating at a quantum limit, you are not competitive .” — Dr. Dana Anderson

If anyone needs no introduction on a podcast about quantum computing, it's John Preskill. His paper "Quantum Computing in the NISQ era and beyond," published in 2018, is the source of the acronym "NISQ," for Noisy, Intermediate Scale Quantum" computers -- basically everything we are going to build until we get to effective error correction. It's been cited almost 6000 times since, and remains essential reading to this day.John is a particle physicist and professor at Caltech whose central interests are actually cosmology, quantum matter, and quantum gravity -- he sees quantum computing as a powerful means to gain more understanding of the fundamental behavior of our universe. We discuss the information paradox of black holes, quantum error correction, some history of the field, and the work he's doing with his PhD student Robert (Hsin-Yuan) Huang using machine learning to estimate various properties of quantum systems.  How did you become interested in quantum information? 5:13 The discovery of Shor's algorithm. 10:11 Quantum error correction. 15:51 Black holes and it from qubit. 21:19 Is there a parallel between error correcting codes and holographic projection of three dimensions? 27:27 The difference between theory and experiment in quantum matter. 38:56 Scientific applications of quantum computing. 55:58 Notable links: The Physics of Quantum Information, adapted from John's talk at the Solvay Conference on the Physics of Information Quantum Computing 40 Years Later, an update to John's NISQ paper on the occasion of the 40th anniversary of the conference at Endicott, the Physics of Computation. Lecture notes for John's class on quantum computing at Caltech, PH229 Predicting many properties of a quantum system from very few measurements, one of the papers Robert Huang has published with John, appearing in Nature Physics Tweetables and Quotes:“The idea that you can solve problems efficiently that you'd never be able to solve because it's a quantum world and not a world governed by classical physics, I thought that was one of the coolest ideas I'd ever encountered.” — John Preskill“There's something different about quantum information than ordinary information. You can't look at it without disturbing it.” — John Preskill“Ideas which were being developed without fundamental physics, necessarily in mind, like quantum error correction, have turned out to be very relevant in other areas of physics.” — John Preskill“Thinking about quantum error correction in the context of gravitation led us to construct new types of codes which weren't previously known. “ — John Preskill“With quantum computers and quantum simulators, we can start to investigate new types of matter, new phases, which are far from equilibrium.“ — John Preskill.

 Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger. Today, they are joined by another distinguished researcher, Dr. Harry Buhrman. Dr. Buhrman is a professor at the University of Amsterdam, he's a director at the CWI, and he's the director at Qusoft as well. He's got a long and illustrious career in quantum information. Today, Dr. Buhrman takes us through some of his earlier work and some of his areas of interest, and he also discloses details of his recent paper which was going to be called Ultra Fast Quantum Circuits for Quantum State Preparation, but was posted to the arXiv as State preparation by shallow circuits using feed forward, which provides fascinating results with respect to the core architecture divided into four layers and time complexity around that framework.Key Takeaways:[4:45] Sebastian introduces Dr. Harry Buhrman.[5:31] How did Dr. Buhrman become interested in Quantum Computing?[9:31] Dr. Buhrman remembers the first time he heard about the complexity class known as fast quantum polynomial time, or BQP.[11:35]  Dr. Buhrman and Richard Cleve started working on communication complexity.[14:14] Dr. Buhrman discusses the opportunity that arose after Shor's algorithm.[14:53] Dr. Buhrman has also written biology papers explaining how he became involved in this field.[18:05] Is quantum computation and quantum algorithms the main focus now regarding Dr. Buhrman's areas of study?[20:06] Software and hardware are codependent, so codesigning is needed.[20:58]. What are the big unsolved problems in the areas of time complexity and hierarchy for quantum? [24:50] Does Dr. Buhrman think it's possible that there could be a future where some of the classical time complexity problems could be powerfully informed by quantum information science and Quantum Time complexity discovery?[27:32] Does Dr. Buhrman think that, over time, the distinction between classical information theory and quantum information theory will erode?[28:50] Dr. Burhman talks about his Team's most recent paper.[33:55]  Dr. Buhrman's group is using tmid-circuit measurement and classical fan out to extend the amount of computation time [35:04] How does this approach differ from VQE or QAOA?[38:35] About Dr. Buhrman's current paper, is he thinking through algorithms that may be able to be implemented in at least toy problems sort of scale to try this theory out and implementation?{39:22] Sebastian talks about  QubiC, an open-source Lawrence Berkeley National Lab project.[41:14]  Dr. Buhrman recognizes he is very much amazed by the fact that when he started in this field in the mid-late 90s, it was considered very esoteric and beautiful but probably wouldn't lead to anything practical.[43:49] Dr. Buhrman assures that there is a chance that those intractable problems for classical computing also remain intractable for quantum computers.[44:24] What's the next big frontier for Dr. Buhrman and his team?[47:03] Dr. Buhrman explains Quantum Position Verification used for implementing secure communication protocols.[50:56] Sebastian comments on the hilarious and interesting titles for papers Dr. Buhrman comes up with.[53:10] Kevin and Sebastian share the highlights of an incredible conversation with Dr. Buhrman.Mentioned in this episode:Visit The New Quantum Era PodcastQuantum entanglement and communication complexityThe first peptides: the evolutionary transition between prebiotic amino acids and early proteinsA Qubit, a Coin, and an Advice String Walk Into a Relational ProblemSix hypotheses in search of a theoremTweetables and Quotes:“ Biological processes are quantum mechanical, and sometimes you need the quantum mechanical description to understand them, and indeed, quantum computers could be of great help in simulating them and understanding them better than we currently do.“ — Dr. Harry Buhrman“There's a huge gap between what we can do and what we can prove is true.“ — Dr. Harry Buhrman“Our problems have become bigger but also more interesting, I would say.“ — Dr. Harry Buhrman“We're not the first ones to see that having mid-computation measurements plus classical feed forwards actually is very useful and can help you solve problems or generate states that if you don't have this  are impossible  to make.” — Dr. Harry Buhrman“Big companies are very interested in QC not only for building quantum computers but also figuring out whether it is useful from a software point of view. ” — Dr. Harry Buhrman

Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger. Today, they are joined by an outstanding European researcher: Professor Leo Kouwenhoven.Leo is a professor in Applied Physics specialized in the field of Quantum NanoScience at TU Delft. Leo got his Ph.D. in Mesoscopic Physics at Delft. He was a postdoc researcher at the University of California at Berkeley and a visiting professor at Harvard. Highlights in Leo's career include the discovery of conductance quantization in quantum point contacts, Coulomb blockade in quantum dots, artificial atoms, the Kondo effect in quantum dots, Spin qubits, induced superconductivity in nanowires and nanotubes, spin-orbit qubits in nanowires and nanotubes and Majoranas in nanowires. Leo and his group found evidence of Majoranas detailed in a paper from 2012. He lead the Microsoft hardware R&D effort, working on topological qubits using Majorana zero modes from 2016 to 2022. His current focus at Delft is on topological effects in solid-state devices, such as the emergence of Majoranas and topological qubits.Key Takeaways:[2:53] Kevin and Sebastian share their appreciation about how quantum computing was represented in the episode Joan is Awful of the TV show Black Mirror. [6:04] Leo shares how he got interested in the field of quantum computing.[9:40] Leo discusses how much he knew about the work done in theoretical quantum computing in the mid to late 90s.[14:37] The advantage of superconducting qubits is that you have a large number of electrons in the circuit you are manipulating.[15:34] Measurability can be easier but “it always comes with a price”.[17:05] Leo admits the coherence was insufficient, and he shares how they tried to improve it.[19:15] What is the feature of silicon that makes it valuable for Quantum Computing?[22:12] Leo shares the benefits of a hybrid system (combining super connectivity and semi-connectors).[23:10] Leo discusses how he became interested in Majoranas.[27:30] Leo addresses the main research agenda destination regarding Majoranas.[28:22] Was the Majoranas fundamental particle found?[33:21] The potential for theory and application is so huge. What's Leo's sense about the prospects for these avenues of inquiry research?[36:25] Leo explains the non-abelian property that Majoranas zero modes have.[40:18] Leo addresses the two groups of gate operations needed for universal computing.[41:22] Leo gives his opinion regarding the timeframe for the appearance of commercially viable outcomes in this domain. [47:16] Sebastian reflects on the maturation of the neutral atom systems, considering them as the first realization of Feynman's vision from 1981 regarding the fact that in order to simulate a natural system, there is a need for a quantum computer to do it.[48:08] Can we build machines that can help us simulate the dynamics of quantum systems that might help us understand more what the challenges are in Majorana Qubit? [51:01] Does Leo think there's any value in Majorana braiding simulations to try to understand the dynamics of the system or overcome the challenges?[53:50] There is room for optimism in Quantum Computing.[56:24] Leo talks about the dream of topological Majoranas qubit.  [58:16] Kevin and Sebastian share the highlights of an insightful conversation with Leo Kouwenhoven. Mentioned in this episode:Visit The New Quantum Era PodcastBlack Mirror: Joan is AwfulLearn more about Leo KouwenhovenSignatures of Majorana fermions in hybrid superconductor-semiconductor nanowire devicesTweetables and Quotes:“The advantage of the superconducting qubits is that you have a large number of electrons in the circuit you are manipulating, which can make measurability easier, but it always comes with a price.”— Leo Kouwenhoven“I read that making qubits was too much engineering when it should be something more fundamental… so now we think qubits are fundamental?!” — Leo Kouwenhoven“Problems are there to be solved; they only exist to be solved. People in classical electronics also solved all their problems, so why can't we? ” — Leo Kouwenhoven

Description: Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger. Today, they are joined by Scott Aaronson, who is a leading authority in the space of Quantum Computing, a fascinating person with a long list of relevant achievements. Scott is also the author of an outstanding blog called Shtetl-Optimize and a book named Quantum Computing Since Democritus.Scott helped design Google Quantum Supremacy, but his work exceeds it; he is involved in Complexity Theory and Computer Science and is just extremely good at connecting, explaining, and digging deeper into concepts.Key Takeaways:[3:38] How did Scott get into quantum computing?[11:35] Scott talks about the moment when the question arose: Does nature work this way?[14:28] Scott shares when he realized he wanted to dig deeper into Quantum Computing.[15:56] Scott remembers when he proved the limitation of quantum algorithms for a variation of Grover's search problem.[18:43] Scott realized that his competitive advantage was the ability to explain how things work.[20:01] Scott explains the collision problem.[21:33] Scott defines the birthday paradox.[23:24] Scott discusses the dividing line between serious and non-serious quantum computing research.[24:11]  What's Scott's relative level of faith and optimism that the areas of topological quantum computing and measurement-based quantum computation are going to produce?[28:33] Scott talks about what he thinks will be the source of the first practical quantum speed-up. [31:55] Scott didn't imagine that being a complexity theorist would become exponential.[36:14] Is Scott optimistic about quantum walks? [40:11] Has Scott returned to his machine learning and AI roots but is now trying to explain the concepts? [42:03] Scott was asked: ‘What is it going to take to get you to stop wasting your life on quantum computing?'[44:50] Scott talks about the future need to prevent  AI misuse. and his role in Open AI[47:41] Scott emphasizes the need for an external source that can point out your errors.[50:13] Scott shares his thoughts about the possible risks and misuses of GPT.[51:40] Scott made GPT to take a Quantum Computing exam; what did surprise him about the answers? It did much better on conceptual questions than on calculation questions[55:55] What kind of validation will we be able to give GPT?[56:22] Scott explains how RLHF (Reinforced Learning from Human Feedback) works.[59:28] Does Scott feel that there's room for optimism that educators can have a decent tool to hunt down this kind of plagiarism?[1:02:08] Is there anything that Scott is excited about seeing implemented on 1000 gate-based qubits with a decent amount of error mitigation? [1:04:05] Scott shares his interest in designing better quantum supremacy experiments.[1:07:43] Could these quantum supremacy experiments (based on random circuit sampling) already deliver a scalable advantage? [1:10:58] Kevin and Sebastian share the highlights of a fun and enlightening conversation with Scott Aaronson.Mentioned in this episode:Visit The New Quantum Era PodcastCheck Shtetl-OptimizeQuantum Computing Since Democritus, Scott AaronsonLearn more about the Adiabatic Algorithm result by Hastings and the Quantum Walk Algorithm result by Childs et Al.Tweetables and Quotes:“The dividing line between serious and nonserious quantum computing research is, are you asking the question of, ‘Can you actually be the best that a classical computer could do at the same desk? “ — Scott Aaronson“My first big result in quantum computing that got me into the field was to prove that Prasad Hoyer tap algorithm for the collision problem was optimal.”  — Scott Aaronson“ Quantum Walks are  a way of achieving Grover type speed ups at a wider range of problems than you would have expected.” — Scott Aaronson“AI safety is now a subject where you can get feedback.”  — Scott Aaronson“We don't have any theorems that would explain the recent successes of deep learning, the best way we can explain why is that none of the theorems rule it out.” — Scott Aaronson

Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger.In this episode, we are joined by Dorit Aharonov, a professor at the Hebrew University of Jerusalem and one of the pioneers of quantum computing. She's also the Chief Science Officer at QEDMA, a quantum startup based in Israel. Dorit is one of the major movers and shakers of quantum error correction and co-author of the important Threshold Theorem for quantum error correction. Kevin, Sebastian, and Dorit talk about her recent work on the theoretical foundations of random circuit sampling.Key Takeaways:[4:22] Dorit shares her path into quantum information and computing.[8:27]  Dorit explains the threshold theorem in an easy-to-understand manner.[16:35] The velocity of error correction versus the generation of errors in the computation could depend on physical implementation, or the algorithm. Maybe even both.[18:53] A more powerful assertion Dorit makes is that there's a deeper connection between the phases of matter and the transition between solid and liquid and these quantum error correction thresholds.[19:51] A lot of the foundations of classical error correction were laid down in the mid-40s in Von Neumann's work when the IAS system was being built. Dorit still sees the echoes of that.[22:35] We might be witnessing a growing momentum around the powerful expression of new quantum error correction technologies.[25:28] Dorit talks about the difference between error mitigation and error correction.[26:55] Dorit explains the idea of the reset gate.[30:22] It might be safe to say that challenges are primarily engineering in nature and that we have enough science to enable that engineering to get to fault tolerance.[31:50] Dorit discusses a possible timeline for this engineering to get to fault tolerance.[34:07] Is Dorit an NISQ optimist or a pessimist when it comes to real-world applications?[39:21] Dorit addresses the difference between practical and asymptotic quantum advantage.[41:30] Dorit shares what the paper on random circuit sampling shows.[45:25] Dorit explains why the machine learning algorithms that were dequantized are  treacherous.[49:56] Dorit shows optimism regarding the possibility of seeing evidence of a quantum event.[52:25] Dorit admits to finding constructive interference between working in the industry and working on theoretical questions.[53:50] Is there something Dorit is excited about in the next year or two that will be another step forward?[56:50] Dorit talks about concrete examples of experiments and sensors that might be arriving thanks to quantum computing advancements.[1:00:35] Sebastian and Kevin share the highlights of a fantastic conversation with Dorit.Mentioned in this episode:Visit The New Quantum EraThe New Quantum Era PodcastLimitations of Noisy Reversible Computation Dorit Aharonov, Michael Ben-Or, Russell Impagliazzo, Norm NisanThe Complexity of NISQ, Sitan Chen, Jordan Cotler, Hsin-Yuan, and  Jerry LiA polynomial-time classical algorithm for noisy random circuit sampling Dorit Aharonov, Xun Gao, Zueph Landau, Yunchao Liu, Umesh Vazirani QEDMATweetables and Quotes:“Nobody actually believed that it was possible to correct errors that occur on quantum states because of the lack of reversibility. ” —  Dorit Aharonov“it's a physics phenomenon… below a certain threshold, we can think of this as if the system is capable of some completely different behavior, like ice and water. It's just like a phase transition -- below that, there would be macroscopic entanglement and … ability to control large scale quantum correlations. And above it, this would not be possible.”  — Dorit Aharonov

Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger. Today, they are joined by James Whitfield, who's a professor at Dartmouth College and is a colleague of Sebastian's at Amazon Web Services' quantum team. James has a quantum chemistry background, and, as a result, he brings that sensibility to his work in quantum information science.In today's episode, they cover three main topics: They talk about the specific areas of quantum chemistry where progress in quantum computation can be seen towards cracking key problems. They address the intuitive nature of perceiving entanglement within quantum states and how those manifest in quantum algorithms (excellent material for people trying to get on top of that challenging concept). James shares his perspectives on enhancing pedagogy in Quantum Information Science, both in the K -12 range and at the graduate level.  Key Takeaways:[4:06] James talks about his background.[6:37] What's the simplest way to explain what quantum chemistry is?[8:18] James shares framing remarks on the merit of quantum computing in these early phases regarding its applicability to physical chemistry. [10:30] James talks about the concept of time evolution.[11:13] James explains the differences between the dynamical nature and the optimization nature of a problem.[13:06] James speaks of what happens inside of quantum time evolution.[14:54] Geometry optimization is only one problem that people discuss.[16:47] James talks about the ‘clamped nuclei' approximation.[17:33] James describes the two ways of thinking about the Schrodinger equation.[19:59] What types of things would we be able to do if we could model time intervals? [24:09] Does James think that, in terms of time evolutions,  fairly large numbers of fault-tolerant qubits are needed to do useful calculations? Or is there a class of problems that NISQ or even Analog Devices like QuEra could be helpful with?[27:13] What is entanglement entropy? And what does that mean for computation?[30:48] Why do people believe in the extra power of quantum computing?[32:37] James defines coherence and decoherence.[34:25] James explains why measuring the growth rate of entanglement entropy over time is one way to capture the richness of the other quantum state.[36:42] James talks about the application of quantum chemistry.[42:55] James believes that, eventually, these will all converge.[43:54] James shares one of his projects about how we use quantum computers to benchmark what people do today.[45:37] The hard part is not the implementation; James explains why.[47:53] James uses the analogy of the robotics challenge.[48:41] James talks about the event called: Quantum Computing Quantum Chemistry Benchmark. 2023.[49:25] Is there an optimum starting point for quantum education? [52:45] James works with no negative probabilities.[55:05] James talks about quantum mechanics and atomic physics.[56:25] Quantum and AI often get grouped into the same category in terms of technology.[57:46] James shares what he enjoys the most about his work.[59:30] Does James think that eventually, software will eat all of these disciplines of science related to quantum information, and we will end up with scientists writing code, and that code will solve problems in chemistry, physics, or other scientific areas through writing software?[1:02:40] Kevin and Sebastian share the highlights of a fantastic conversation with James Whitfield.Mentioned in this episode:Visit The New Quantum Era PodcastComputational Complexity in Electronic Structure James Whitfield, Peter J. Love, Alan Aspuru-GuzikLimitations of Linear Cross-Entropy as a Measure for Quantum Advantage Xun Gao, Marcin Kalinowski, Chi-Ning Chou, Mikhail D. Lukin, Boaz Barak, Soonwon ChoiUnderstanding the Schrodinger equation as a kinematic statement: A probability-first approach to quantum James Daniel Whitfield2023 Quantum Chemistry on Quantum Computers Benchmarking ContestTweetables and Quotes:“To actually get what the strength of that spring should be, you need to know what the electrons are doing, and that's where electronic structure comes in, and this is where a lot of the effort inside of quantum computing has gone in.”.   —  James Whitfield“ In terms of their justification for believing in the extra power of quantum computing, the soul of the claim for many people is largely founded on the capacity of these systems to witness entanglement and have a richer notion of state, which is harder to express classically.” — Kevin Rowney“Quantum and AI often get grouped into the same category in terms of technology.”  — Sebastian Hassinger.“There are still fantastic scientists who take entire journeys inside their head, building mathematical structures, they don't bother to code it up, and then they give it to someone else who codes it up.”   —  James Whitfield.

By leveraging the power of quantum computing (QC), scientists can quickly identify promising materials (new or existing) for ANY application. QC enables this while saving on hefty lab operation costs, enabling speedy and cheap materials discovery. In this episode, we explore this fascinating intersection of quantum computing and materials science.    Our guest, Dr. David Muñoz, shares his insights on how quantum computing can enhance many facets of science. He is an expert on quantum computing with 15 years of experience in computational science. He is the current head of Quantum Chemistry for Quantinuum, a quantum computing-based company. With him, we discuss:   

We continue our new season by featuring members of the cluster who are working at the intersection with other stakeholders in the larger quantum community. In this episode, we talk to Christian Gogolin and Gian Anselmetti who are in-house scientists at Covestro and associated to ML4Q. We discuss solving chemistry problems with quantum computers, research in a company setting and the PhD student-supervisor-relationship.

What does electron density look like at the subatomic level? How do chemists and physicists manage to study matter at this level? In this episode, we discuss these topics and more with returning guest Dr. Preston J. MacDougall, a Professor of Chemistry at Middle Tennessee State University.  Dr. MacDougall's research surrounds theoretical chemistry – with a distinct focus on the development of quantum chemistry-based design tools for pharmacology and molecular electronics. How could his research influence the work of physicians and microbiologists around the world? Tune in now to find out… Join the conversation to uncover: What the subatomic level of molecules looks like.  What happens when two molecules form a bond.  How Dr. MacDougall's work can help researchers understand why molecules prefer to react in certain directions.  Want to learn more about Dr. MacDougall and his work? Click here now! Episode also available on Apple Podcasts: http://apple.co/30PvU9C

Meghan is joined this week by Nicki Hansen to discuss observations and insights regarding the temple, and how it relates to our mortal journeys. Topics Include: -The temple as a House of  Learning-Patterns and Sequences of the Lord-The Hero's Journey as our own Eternal Story-Ancient Hebrew Wedding Traditions -Noah's Ark as a Temple Nicole Hansen is currently a stay-at-home mom with two children. Her husband is a landscape architect. Nicole was born in Utah. She met her husband at Utah state where she studied Chemistry. She worked as a chemist for about 12 years, most of which time was spent in pharmaceuticals. She later taught at the college level, worked for the department of defense, and in the tech industry before her first child was born.Nicole grew a love for numbers, and also dual careered in investing and real estate.  Through all her experiences, she gained a love for identifying the Lord's hand in her life and seeing His ways and patterns unfold. She learned to Hear Him as a result of recognizing these patterns.  Nicole has recently embarked on a new journey of song-writing LDS Christian music. This was  was not a skill she knew she had, but was taught it through a process of revelation. Her songs have played on Christian radio, including Utah's own soft Sunday Sounds. She tries to write and portray the emotions I have had in her own journeying toward Christ, as well as the patterns I see in His Word. She is extremely passionate about the temple and has really grown to love spending most of her free time there. She says, "It truly is the greatest house of learning. I am passionate about each of us learning to grow into a temple and vessel of the Lord and a house where His presence can dwell. In my chemistry education, I focused my studies on Quantum Chemistry, Organic Chemistry and Biochemistry and throughout my career I gained an understanding that they were all interconnected. And spiritually related that to the connection of both body and spirit and the effects on one to the other. Which has further advanced my interest in our bodies being a temple."Nicole recently started a YouTube channel titled "Patterns and Sequences" where we discuss the scriptures through a temple lens and tie a little bit of modern science and modern-day prophet revelation to help us all better learn to pattern our lives after our greatest exemplar Jesus Christ and to live after His holy order and the patterns as shown to us in His holy temple. 

We continue our stimulating conversation with Joe Fitzsimons, CEO and founder of Horizon Quantum Computing. After last episode's exploration of Joe's reasoned case for an optimistic future for quantum computing, we dig into Horizon's development of compiling tools that Joe hopes will unlock broad performance advantages from future quantum devices. Computer History MuseumMcCullough-Pitts paper on artificial neuronsA guide to the HHL algorithm from the excellent qiskit open source textbook

Kevin and Sebastian are joined by Joe Fitzsimons, founder and CEO of Horizon Quantum Computing, a startup based in Singapore. Joe recently posted a thread on Twitter responding to some of the reactions to a recent Time cover story about quantum computing. We were really struck by his level-headed optimism and so we wanted to dig in deeper. This is part one of our conversation with Joe, where he explains the reasoning behind his optimism for the future of the technology. Mentioned in the episodeGlobal Risk Institute 2022 Quantum Threat Timeline Report  The Center for Quantum Technologies in SingaporeWikipedia page on 2 nanometer process for microprocessor fabrication

Chemistry is involved in everything around us, including the clothes we wear and the device we listen to podcasts on! So why is chemistry not taught as a fundamental science? On this episode of the ChemTalk Podcast, hosts Olivia Lambertson Siya and Riya interview Dr. Sourav Pal, Head of the Department, Chemistry and Professor of Chemistry at Ashoka University. We talk about the benefits of taking interest in chemistry, computational chemistry, and the differences surrounding universities in India. We hope you enjoy! If you would like to know more about Dr .Sourav Pal you can check out his research or reach him by email at sourav.pal@ashoka.edu.in. About us: ChemTalk is a small student-led and ad-free non-profit working to become the top chemistry education platform in the country. Please support us by following our social media channels, sharing our content, and donating if possible. You can access our website for videos, articles, and tutorials on general, organic, and biochemistry. We also have a VERY cool interactive periodic table, articles about the elements and their properties, and experiment demos. ChemTalk is on TikTok, Instagram, Facebook, and Twitter which you can access here. Thank you for listening and see you next time!

Key Takeaways:[3:38] Nathalie shares how she found her way into the field of quantum technology.[6:25] Nathalie talks about the key moment in the landscape towards being a believer in Quantum Technology.[8:29] Nathalie talks about certain things that made her change her mind.[12:20] Nathalie speaks about her particular entry into the science field.[18:09] How far up the stack does Nathalie's interest lie, and how does that inform what she has been doing down at the materials?[22:54] Nathalie shares the story about NSF.[25:48] What is wrong with Niobium?[27:12]  Nathalie explains the difficulty of surface physics and surface chemistry in this domain.[32:30] Is there a way to describe conceptually how a vacancy in a diamond can be used as a two-level system or for a cubit, or as a sensing device?[37:03] Why is it called a color center? [37:59] Nathalie talks about the genesis of her paper which includes material science foundations for the quantum information process.[42:35] Can Nathalie make any speculations based on what she learned from the review paper?[46:54] Is it true that manipulating diamonds is really slow?[48:28] Sebastian talks about the way they met Nathalie.[49:29] Are there things that either educators or industry participants in this stage of quantum computing and quantum information technologies can do to help make this area work better than the other fields have in the past? [55:58] Sebastian and Kevin share the highlights of an amazing conversation with Nathalie DeLeon.Mentioned in this episode:Visit The New Quantum Era PodcastCo-Design Center for Quantum Advantage Tweetables and Quotes:“If you could do a quantum version of erasure conversion, you can actually get extremely high thresholds.“ — Nathalie DeLeon“The fact that,  in some sense, fault tolerance is a phase, a transition is a quantum phase transition, right? You have a fundamentally different system before and after you turn on your error correction. .“ — Nathalie DeLeon

Can we bring people back from the dead? Neil deGrasse Tyson and Chuck Nice discuss restoring dead cells, the nature of consciousness, Frankenstein's monster, zombies, and more with neuroscientist, David Andrijevic and consciousness expert, George Mashour. NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free.Thanks to our Patrons Darrell McClendon, Baby Daddy, Chip Towner, Marylee Dewey, and Michael Brockman for supporting us this week.Photo Credit: Thennicke, CC BY-SA 4.0, via Wikimedia Commons

Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger. Today, they are joined by Steve Girvin, professor of Physics at Yale who has a central role in the Yale Quantum Institute, which has been ground zero for the recent development in superconducting qubits. The topics we had initially planned needed some adjustment, because on the day of the interview, the Nobel Prize in Physics was awarded to three scientists for their work experimentally verifying the theory behind entanglement, the source of much of quantum computing's power. Alain Aspect, John F. Clauser, and Anton Zeilinger were recognized for their experiments in an area that has broad implications for secure information transfer and quantum computing. Sebastian, Kevin, and Steve have an interesting talk about some of the history of the superconducting qubits and the transmon in particular, which is a basis for most of the modern superconducting qubits on the market. They also cover the topic of diversity, quality, and inclusion. Key Takeaways:[3:43] Steve introduces himself.[5:23] Steve shares his primary domains of research.[9:50]  Was there a sort of self-awareness in the Yale group that Steve and his team were taking radically? Were they considering a different approach that could solve some of the challenges of the other models that existed at the time?[14:38] Steve talks about how relatively quickly the hardware can be fabricated to be able to crank out, iterations, variations, and experiments. [17:27] Is there room for optimism about the new dimensions of research related to MER material science?  [19:25] Steve shares his thoughts on the news about the 2022 Nobel Prize in Physics.[22:18] Steve talks about how some of the epistemological questions that these paradoxes present, feel really mind-bending to many people on the outside of physics.[25:38] Steve addresses how hard it is to predict the future.[27:21] Does Steve consider himself an optimist about the progress of quantum computing?[30:10] How can we get reliable performance out of an inherently, very unreliable system?[33:22] Steve helps us fill in the narrative, in the history of where GKP codes are situated and their significance to contemporary developments.[41:14] Steve talks about the basic steps of the algorithm to do the error correction.[44:01] The history of computer science is very, uh, white, male, and, uh, dominated in nature, Steve shares his thoughts about diversity, equity, and inclusion.[48:34] What we can do to change the composition of the field when the underlying foundations of the way science is done in the lab have a such rigid history of hierarchy, power structures, and power dynamics that are so easily abused?[55:02] Sebastian and Kevin share their thoughts on an amazing conversation with Steve Girvin,  Mentioned in this episode:Visit The New Quantum Era PodcastTuring's Cathedral: The Origins of the Digital Universe, George DysonDocumentary: Picture a ScientistTweetables and Quotes:“A very productive part of my childhood was having nothing to do, but to dream.“ — Steve Girvin “The simpler you keep things, the easier it's to do things “ — Steve Girvin “Einstein really made massive contributions to the development of the quantum theory. “ — Steve Girvin “The way we test whether our quantum computer is a quantum computer is checking first thing in the morning to calibrate it, if it's doing the thing that Einstein said was impossible then, it's working.“ — Steve Girvin “Looking ahead, it's very, very hard to predict where this is going, but along the way, there's such fantastic. basic science and quantum.” — Steve Girvin“When you're doing a hiring search, it's not about adding constraints, like interviewing more women…It's about removing constraints. You should look wider. There's a theorem that if you release constraints, the optimum cannot get worse, it can only get better. ” — Steve Girvin

Key Takeaways:[3:23] James introduces himself.[4:20] James talks about his engagement in game development using the public IBM Cloud quantum systems.[5:40] James explains why he said he expected the field of quantum computing to be more accessible by starting with hobbyists.[7:02] James talks about the theory behind quantum computing.[8:23] James speaks of how to engage people in quantum computing by proving Einstein was wrong in how he saw quantum mechanics.[12:39] What are some of the things that James has seen that were sort of super inventive ways to use quantum computing in a game context?[14:20] James talks about the quantum emoji generator.[15:26] James shares his opinion in regard to Quantum Chess.[16:48] James talks about a new game called Quantum Odyssey[18:08] James shares an experience working with kids when he was at the University of Basel.[19:55] James talks about his passion for quantum error correction.[20:41] James tells the difference between quantum error correction and quantum error mitigation.[24:18] Sebastian talks about mitigation strategies.[27:00] Could it be that lots of the statistical tradecraft with respect to analyzing data and attempting to interpret its meaning in the presence of acknowledged errors and the signal is perhaps a foundational part of QAM? [28:01] What are the major and most interesting themes to James these days? [29:36] James explains the threshold theorem.[34:33] What is the current math result in terms of the threshold of error occurrence that you need to get to get over the hump?[35:16] James talks about the experimental results where people have built minimal examples of quantum error-correcting codes[36:01] James talks about a recent experiment made at IBM quantum.[36:40] What does surface code mean?[39:20] Are there any other types of errors that quantum error correction has to struggle with? Or are the bit flip and phase error the two main aspects?[41:55] James talks about the recent research on silicon spin qubits.[45:39] Sebastian and Kevin share the highlights of an amazing conversation with James.Mentioned in this episode:Visit The New Quantum Era PodcastStephen Hawking faces Paul Rudd in epic chess match (feat. Keanu Reeves)Tweetables and Quotes:“It's better if we start off by building a little bit of intuition, and then bringing in the maths, it's important to bring in the maths but I think it's better when the maths is describing an intuition that people already have and that's the starting point.” — James Wootton“There have been experimental results already where people have built minimal examples of quantum error correcting codes and showing that they have a beneficial effect. So that's what happens when the noise is low enough. “ — James Wootton

Title: Molecular and Subatomic Physics with David MazziottiDescription: Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger. Today, they are joined by David Mazziotti, a physicist, and research team leader at the University of Chicago. He generously showed up with some deeply fascinating material for your consideration. Professor Mazziotti is a highly accomplished scholar, researcher, and mentor. This interview with David is a ringside seat on one of the most interesting recent research on molecular and subatomic physics that is now being explored by scholars using quantum computers. Today, David talks about how he got interested in quantum computing, his current findings and experiments, and his optimistic perspective about the possibility of breakthroughs in the near future of quantum.Key Takeaways:[6:13] David talks about his background.[11:32] David's first professor role was teaching quantum chemistry.[12:30] David speaks about the first time he used quantum computing hardware to perform experimentation, like simulation of quantum chemistry.[14:42] David Talks about his first foray into quantum computing.[16:45] What measurements is David doing inside the quantum computer to register that data on the polytopes?[18:58] Where did the inspiration come from for using limited hardware with limited capabilities (from a gate and noise perspective) in a really creative way to do really sophisticated simulations? [24:19] What are the major engineering or commercial applications?[28:43] David talks about his collaboration on a couple of papers on a generalizable system for free a simulation of open quantum systems.[31:24] Is there something that can be done on a standard quantum computer to simulate open systems? Is new hardware needed?[33:40] Is it possible for David to speculate if there will be brand new algorithmic breakthroughs for clever classical optimization problems? [35:10] David shares the publication of  a new paper on communications physics.[37:15] Can we make progress with noisy quantum computers?[40:39] David speaks about how he and his team ended up getting a spectrumscoptic noise “fingerprint” of each of their IBM Quantum computers on which they were doing an experiment. What does derive from the spectrum of the QC?[42:28] Is David  programming the pulses or is he using gates?[43:42] Is the fingerprint like a qubit? [45:22] David believes that a more holistic perspective on the noise could be the way to control noise better.[48:30] David's work has been on superconducting hardware, is it applicable to  trapped ions or neutral atoms or Rydberg atom systems that are coming out in the next year? And hopefully to photonic systems down the road? [49:46] Is David's work on superconducting hardware applicable to quantum sensing devices?[52:41] David shares his excitement about the evolution of quantum computing in the next couple of years.[56:19] For listeners who want to explore  some of the code and are qiskit literate? Is any of the stuff that David has  mentioned available open source style? [59:05] David speaks of his work on reduced density matrix theory. [1:00:26] If David could wish for any new hardware in the next year, what would he want? [1:04:53] Sebastian  and Kevin share their insights from a mind blowing conversation with David Mazziotti.Mentioned in this episode:Visit The New Quantum Era PodcastLearn more about David Mazziotti's work at his group's website and check out their github repoTweetables and Quotes:“So a polytope is basically a convex object with a bunch of flat sides and on one side, there's this polytope that's forbidden, on the other side, one that's allowed, and then there's this hyperplane in the middle called the Borland-Dennis Inequality, and you just don't want the points to go through.”  — David Mazziotti“In superconductivity, electrons form Cooper pairs, and these Cooper pairs of electrons all end up in a global quantum state and that allows you to send electricity into the superconductor, and actually have a current then come out from a macroscopic distance away, but not have any loss due to friction because you're really sending an electron into a global quantum state that's entangled with the electron that's coming out on the other side at the same time.”  — David Mazziotti“It's only after 2000, that people were able to realize excitation condensates by pumping them with light with radiation. And then in the last few years, since 2017, they've been able to prepare them in the laboratory, even without pumping them with radiation, either using strong magnetic fields or, actually, in some cases, not using any magnetic fields at all. But using Creative Chemistry.” — David Mazziotti“The quantum computer  gives one an ability  to look at some things that before were really more just a theoretical dream” — David Mazziotti“Can we make progress with noisy quantum computers? I think that's one of the central questions, because ultimately, quantum computers are always going to be somewhat noisy to some extent.” — David Mazziotti

 Welcome to another episode of The New Quantum Era Podcast hosted by Kevin Rowney and Sebastian Hassinger. Today, they are joined by Cesar A. Rodriguez  Rosario, Chief Scientific Officer at Strangeworks, who is discussing the parallels between quantum computing and the development of the classical computing world at the stage of vacuum tubes and the invention of the transistor.Cesar Rodriguez is a great example of somebody who is knowledgeable about the space of Quantum Computing and sees its possibility but he's got a decent level of guarded optimism and even skepticism on some of these results, which sometimes run fits and starts and sometimes even go backward.Key Takeaways:[4:33] Cesar shares what brought him into Quantum Computing.[5:35] Cesar talks about his academic background[11:39] Coming from computer engineering and having an unconventional journey through quantum physics, does Cesar consider he has a different perspective on the field today? [15:28] Given the current stage of technology, what does Cesar think of the role of foreign theorists? [17:37] How does Cesar view the reliability and the breakthrough potential of the currently existing crop of algorithms given the current limits?[18:57] Cesar explains what QUantum Advantage is.[21:08] From the landscape of the current algorithms out there, does  Cesar feel like there's an imminent breakthrough in these scare algorithms? [23:05] Will there going to be more "dequantized" algorithms?[24:35] Cesar shares what he calls Quantum Value.[25:21] Looking at the theory landscape, what are the most exciting things to Cesar?[29:20] Does everything still fit into the general buckets of VQE and QAOA? Are there other categories that are emerging that are distinct enough from those two approaches that they have their own acronym yet?[30:52] What does quantization mean?[33:49] Cesar explains why quantum computers are fundamentally better at some problems than classical computers.[37:33] Cesar defines the molecular geometry problem[39:50] Cesar speaks of the beginning of Quantum Computing.[42:53] Cesar talks about a recent major breakthrough.[45:48] Cesar talks about the complexity of photonics.[48:28] Cesar shares the challenge of speed.[52:10] Kevin and Sebastian share the highlights of an interesting conversation with Cesar A. Rodriguez Rosario.Resources:Visit The New Quantum Era PodcastGoogle's 2019 quantum supremacy experimentA classical attack on Google's supremacy claimAn overview of Quantum supremacyThe variational quantum eigensolver algorithm paper from Alan Asperu-Guzik's group at HarvardEddie Farhi and Jeffrey Goldstone's Quantum Approximate Optimization Algorithm paperNature paper on error correction on spin qubits in diamondThe Chip, by T. R. Reid is a terrific book for understanding the early history of classical computing. Tweetables and Quotes:“You can use some qubits and their quality is really, really good. You can connect them very, very efficiently, and you can connect as many as you want, in a way that scales, we have to do all those things… and nobody has cracked the code for all these bullet points.” — Cesar A. Rodriguez Rosario“Ideally, what's going to happen is that once we have the scalable error corrected qubits and all that, then you don't have to be a theorist anymore, and then I'm going to be a full-time quantum engineer and that will be healthy, I want that to happen since that would mean that the industry succeeded.”  — Cesar A. Rodriguez Rosario“It's okay, that things are not useful, yet, there's nothing wrong with that, because we're still working towards that.” — Cesar A. Rodriguez Rosario

Key Takeaways:[8:25] Nick Bronn does a quick introduction about himself.[9:23] At what point in Nick's academic career did he find he was attracted to quantum computing rather than the condensed matter physical started to get drawn into the field?[13:27] When Nick joined IBM, did they have a functioning superconducting qubit? Was there a transmon that was operational at that point? Or was it still building the first one in IBM?[17:23] How a transmon qubit does its thing?[20:27] Nick explains the DiVincenzo criteria.[25:25] Nick explains how you can build whatever wavefunction you want with transmon qubits.[28:40] Nick mentioned transitioning from experimental to more, such as the theory and the software. What was the motivator for Nick to get more involved in how to program these things?[33:43] How would Nick recommend somebody who has not done a few decades in the lab doing the kind of necessary work to acquire his intuition on factors and what kind of budget they should have for certain resources to know to avoid one idiom of code versus another? [36:27] Is there a way to encourage people to include a Jupyter Notebook with their code in the papers they post to the arxiv?[41:25] Nick shares about his work in trying to actually create Majorana braiding on the superconducting qubits.[46:10] Nick talks about other techniques such as variational algorithms.[48:14] What are we going to see in the short to medium term, what will the big breakthroughs be? [51:01] Nick is trying to simulate Majoranas state using the qubits. Would there be any learnings there or applications that would help in terms of error mitigation or error correction? [53:33] Nick shares his thoughts on Majoranas and the very strong theoretical justification for their existence. [56:16] Nick encourages physicists to learn to code, and developers to learn physics.[58:01] Sebastian and Kevin share the highlights of an amazing conversation with Nick Bronn.LinksNick's video on error correctionDiVincenzo's criteriaQiskit site, an incredible resource for learning!The paper Nick mentioned by Bryce Fuller and Antonio Mezzocapo, Second-quantized fermionic operators with polylogarithmic qubit and gate complexityThe paper where Nick collaborated with David Pekker on simulating Majorana braiding on IBM's superconducting qubits. Tweetables and Quotes:“We're supposed to think about quantum computers as being a digital type of thing, you have these fundamental universal gates set, and that is not necessarily a continuous thing. But if you understand how the physics of these microwave operations work, then sometimes you can frame certain problems in a more efficient way, and reduce the overall amount of error that you incur.” — Nick Bronn“We do have a large community of quantum computing users. And, and it's kind of, it's moving so fast that it's not even, it's not very easy to kind of convey what the best way to do everything is, l there's no standard operating procedure, no kind of best practices.” — Nick Bronn“Physicists are not good coders, but just know enough to be dangerous.” — Nick Bronn“What is incredibly interesting about the condensed matter of physics is that they allow you to understand the properties of materials, even crazy materials, like superconductors with relatively simple models.” — Nick Bronn

Dr Shane and co-hosts Dr Lauren, Dr. Linden & Chris KP chat about tardigrade proteins, glacial ice, dog training, and the James Webb telescope; Rachel Kirby, PhD student at the Research School of Earth Sciences at ANU, talks about knitting and meteorites; and Professor Ekaterina Pas from the School of Chemistry at Monash University, talks about quantum chemistry. Program page: Einstein-A-Go-Go Facebook page: Einstein-A-Go-GoTwitter: Einstein-A-Go-Go and live every Sunday at 11:00a.m AEST on RRR 102.7mHz FM.

Learn about “digital body language” guidelines and how scientists brought multiple molecules into the same quantum state. Additional resources from Erica Dhawan: Pick up "Digital Body Language: How to Build Trust & Connection No Matter the Distance" from your local bookstore: https://www.indiebound.org/book/9781250246523  Website: https://ericadhawan.com/  Twitter: https://twitter.com/ericadhawan  Instagram: https://www.instagram.com/ericadhawan_/  Scientists brought multiple molecules into the same quantum state, which is a big deal by Briana Brownell UChicago scientists harness molecules into single quantum state. (2021). EurekAlert! https://www.eurekalert.org/pub_releases/2021-04/uoc-ush042221.php  ‌Ultracold Molecules | JILA - Exploring the Frontiers of Physics. (2015). Colorado.edu. https://jila.colorado.edu/yelabs/research/ultracold-molecules  ‌Cornish, S. (2008). From atoms to molecules (and back). Physics, 1. https://physics.aps.org/articles/v1/24  ‌Physicists Turn Atomic Bose-Einstein Condensate into Molecular One | Physics | Sci-News.com. (2021). Breaking Science News | Sci-News.com. http://www.sci-news.com/physics/molecular-bose-einstein-condensate-09606.html  ‌Carr, L. D., DeMille, D., Krems, R. V., & Ye, J. (2009). Cold and ultracold molecules: science, technology and applications. New Journal of Physics, 11(5), 055049. https://doi.org/10.1088/1367-2630/11/5/055049  Bose-Einstein Condensate: A New Form of Matter. (2001, October 9). NIST. https://www.nist.gov/news-events/news/2001/10/bose-einstein-condensate-new-form-matter  Follow Curiosity Daily on your favorite podcast app to learn something new every day withCody Gough andAshley Hamer — for free!  See omnystudio.com/listener for privacy information.

Matt lives in London with his wife and daughter. He runs a small consultancy, Noctis (https://noctis.co/), offering commercial advisory services to charities and startups and investigation work focusing on the impact of oil extraction in the Niger Delta, Nigeria where he used to work. He is a trustee of two charities, Catch22 (https://www.catch-22.org.uk/) and the Anti-Racist Social Club (https://www.theantiracistsocial.club/), and co-creator of sidekick (https://www.sidekick.org.uk/), a non-profit empowering people to support their own mental health. He is also a Chartered Accountant and is currently undertaking a part-time PhD in Quantum Chemistry. I speak to Matt about his own experience with mental health and how he came to launch the brilliant non-profit, sidekick, which is empowering people to support their own mental health through a comprehensive offering of tools and tips within their app.

The guest of the fourth episode of the Marthe Vogt Podcast is a postdoctoral researcher of Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy Dr. Elisa Palacino Gonzalez. We discussed what makes up the job of a theoretical chemist, and how it differs from the regular chemist. Elisa told why she likes to have multiple hobbies and shared her experience as a stand-up comedian.

Join us for a colloquium with Dr. Robert Koons! Dr. Koons is a professor of philosophy at the University of Texas at Austin, and he speaks here about the implications of quantum mechanics for our understanding of matter in natural substances. This paper was given at the Center for Thomistic Studies, at the University of St. Thomas in Houston, Texas, on September 13th, 2019. About the Center for Thomistic Studies: The Center for Thomistic Studies, located at the University of St. Thomas in Houston, TX, is the only graduate program in the United States uniquely dedicated to the thought of St. Thomas Aquinas. Find out more about the Center at our website: stthom.edu/CTS. For news and updates about future events, like our Facebook page: facebook.com/thomisticstudies Producer: Peter J. Gardner Announcer: Peter J. Gardner Intro and outro music: Clare Jensen, "Cello Suite No. 1: Prelude" by J.S. Bach.

Eva Vankova earned a PHD in Quantum Mechanics and Quantum Chemistry. She worked as a professor, travelled to different areas of the world and then took a position in sale at Exxon Mobile [1:50] Eva goes into a little background about Quantum Chemistry – studying the smallest particles around us and they do not behave exactly like matter. This science is very much related to math as well as related to philosophy. Quantum chemistry is use in technology like lasers, magnetic resonance imaging (MRI). [4:50] The difference between Chemistry and Quantum Chemistry – Quantum is more in the direction of Physics and Math. [6:30] Do you need a PHD? Yes, a PHD may be needed to really pursue Quantum Chemistry. [7:10] Eve went from Teaching at the college level to sales at Exxon Mobil. She likes to learn and work with a group of people and teach. Eva learns a lot from just listening and when you explain it, explain it simply not in a complicated fashion. This translates directly into sales. [11:00] and ah ha moment – a simple book on relativity when she was a child. Her father was an engineer and she was an only child and passed his love for math and physics to Eva. [14:50] Lightening round – best advice – too work hard and to be honest. And a book is any works from Karel Capek – he invented the word Robot in is book R.U.R. https://en.wikipedia.org/wiki/R.U.R [17:00] Parting piece of guidance – do sports! Free Audio Book from Audible. You can get a free book from Audible at www.stemonfirebook.com and can cancel within 30 days and keep the book of your choice with no cost.

When the hold of sugar addiction and habits are so strong, how can we support people through breaking out of their harmful diets?    Dr. Nadja Pinnavaia, Doctor of Quantum Chemistry and former Managing Director at Goldman Sachs, is proving that it's never too late to change your path and create an impact.    She is the founder of Plantable, a meal service that goes beyond food delivery and takes a holistic approach to coaching clients through their transition to a plant-based diet.    Her program is helping people lose an average of 8.9 pounds, regulate their elevated cholesterol and blood sugar, and gain confidence in only four weeks.    In this episode, Nadja joins Dotsie and Alexandra to share the impetus for Plantable, how she’s integrated her academic background to create the menus, and why a plant-based diet is optimal for your health.    You’ll also want to tune in to hear some of her fantastic recipes that you can try at home today and how you can save 10% on any of Plantable’s programs.    What we discuss in this episode:   - Dotsie and Alexandra’s favorite cruelty-free cosmetics brands, including Gabriel Cosmetics, Beautycounter, and Fresh   - How Nadja convinced a paleo trainer to go plant-based and the awesome results he saw in only four weeks   - The illnesses Nadja’s family members were facing and how The Anticancer Diet encouraged her to dig deeper into nutrition, the Standard American Diet, and food addiction   - Why a service that approaches diet holistically is so important to help people transition their eating habits   - How Nadja integrated her science background, the creativity of a chef, and the experience of a cardiologist to help create the food for Plantable   - The Plantable coaching philosophy, how they onboard clients to prep them for success, and how they help you handle the 2 and 10 p.m. cravings   - What Nadja recommends for a nutrient-rich, savory breakfast and why she encourages people to stay away from smoothies   - The empowering psychological effects of taking care of yourself and finding your sense of control    - Recipes you can try today, and a sneak peek to their upcoming bowl inspired by Dotsie   - Follow Dr. Nadja Pinnavaia on LinkedIn at Nadja Pinnavaia, on Instagram at @plantable, on Twitter at @Plantable, and on Plantable.com where you can enter code S4G to get 10% off any Plantable program!    Connect with Switch4Good   - YouTube: https://www.youtube.com/channel/UCQ2toqAmlQpwR1HDF_KKfGg   - Facebook: https://www.facebook.com/Switch4Good/   - Instagram: https://www.instagram.com/switch4good/   - Twitter: https://twitter.com/SwitchForGood   - Website: switch4good.org

Many of the processes carried out in traditional chemistry labs searching for new drugs or drug targets can be sped up through factory-style automation—and in fact, “combinatorial chemistry” was a big boost for the field. But Alán Aspuru-Guzik, a theoretical chemist in the departments of chemistry and computer science at the University of Toronto, says “the transition to autonomy is what we really want.” Think of a “self-driving chemical lab” that uses big data, AI, and robotics to explore chemical space through a cycle of synthesis, characterization, and testing: that’s what happening both at Aspuru-Guzik’s Cambridge, MA-based startup Kebotix, in cooperation with commercial partners, and at his lab in Toronto, where he holds the Canada 150 Research Chair in Theoretical Chemistry. “We’re trying to put together the molecular Lego pieces, with a finite set of reactions and fragments,” Aspuru-Guzik says. “The art of being successful is not getting lost in an infinite forest of possibilities.” How to rate MoneyBall Medicine on iTunes with an iPhone, iPad, or iPod touch: Launch the “Podcasts” app on your device. If you can’t find this app, swipe all the way to the left on your home screen until you’re on the Search page. Tap the search field at the top and type in “Podcasts.” Apple’s Podcasts app should show up in the search results. Tap the Podcasts app icon, and after it opens, tap the Search field at the top, or the little magnifying glass icon in the lower right corner. Type MoneyBall Medicine into the search field and press the Search button. In the search results, click on the MoneyBall Medicine logo. On the next page, scroll down until you see the Ratings & Reviews section. Below that you’ll see five purple stars. Tap the stars to rate the show. Scroll down a little farther. You’ll see a purple link saying “Write a Review.” On the next screen, you’ll see the stars again. You can tap them to leave a rating, if you haven’t already. In the Title field, type a summary for your review. In the Review field, type your review. When you’re finished, click Send. That’s it, you’re done. Thanks!

Johannes Schweifer speaks about his company CoreLedger, the mechanics of tokenizing physical assets and overcoming the gap between physical assets and the digital world, current use cases of tokenized assets, legal and regulatory aspects, why you can't compare the blockchain era to the Internet era, best jurisdictions for running blockchain projects, and much more. Johannes is the Co-Founder and CEO of CoreLedger, which is building blockchain-based enterprise solutions that allow existing and new businesses to run on blockchains. He is the Co-Founder of Bitcoin Suisse and a Bitcoin and blockchain pioneer with more than 15 years of experience as a project manager and software architect for enterprises in the IT and financial sector. Johannes holds a Master's in Chemistry and a PhD in Distributed Computing and Quantum Chemistry from the University of Vienna.  Johannes Schweifer: https://www.linkedin.com/in/johannes-schweifer-6b7b6812 CoreLedger: https://www.coreledger.com, https://twitter.com/CoreLedger Also mentioned in the episode: Ambitorio: https://www.ambitorio.com, https://twitter.com/ambitorio This is a sponsored interview brought to you by CoreLedger. Many thanks to our sponsor! CoreLedger is a blockchain-based peer-to-peer transaction infrastructure provider. It enables businesses to document, tokenize and trade any type of assets in a reliable and flexible environment. CoreLedger makes anything transactable, literally anything. To learn more about CoreLedger's technology and how you can transform your business onto blockchain, visit http://www.coreledger.net. The Blockchain and Us newsletter To stay up to date about what blockchain pioneers, innovators and entrepreneurs from all around the world think about the future of this space, sign up for the newsletter at http://www.theblockchainandus.com.

Today on the show we are joined by Nadja Pinnavaia, founder of Euphebe Healthcare. She is here to talk to us about how we can really change our lives by the way we eat. Prior to founding Euphebe, Nadja was an undergraduate student in Chemistry from King's London College. She gained her Ph.D in Quantum Chemistry from Saint Catherine's College in Cambridge, and then went on to become managing director at Goldman Sachs. Nadja has certainly got the education, the background, and a ton of amazing accomplishments under her belt. However, because of a personal experience dealing with cancer in her family, Nadja decided to switch her focus to food; why it matters, why it can really change your life, and how it impacts our health and wellness.

Dr. Henry F. Schaefer III joined us on February 19th, 2013, to discuss what he called the "Third Age of Quantum Chemistry."

A reaction between two common molecules occurs much faster at frosty interstellar temperatures than on our toasty Earth due to a cold-stabilized transition and quantum tunneling. John Matson reports