Podcasts about nisq

 Evénements Boston- Conférence Bio-IT World- Visite du MIT Nanolab a- Meetup de la communauté quantique locale- Visite de la startup QuEra- Visite d'Atlantic Quantum, une startup de qubits supraconducteurs fluxonium cofondée par Will Oliver du MIT Lincoln Lab.- Business of Quantum Summit organisé par la Sloan Management School du MIT Paris - Devoxx  - Afterwork Lab Quantique chez OVHcloud Montpellier - Lancement de la Maison du Quantique Occitanie  QCI Days à Athènes- conférence européenne sur les communications quantiques, durant trois jours.  Evénements à venir·       Lab Quantique benchmarking des ordinateurs quantiques à Station F - 6 mai·       Panel à Nice organisé le 6 mai par France Deeptech, avec Sébastien Tanzilli, Sabine Mehr, Valerian Giesz et Olivier Ezratty.·       Q-Expo à Amsterdam le 14 et 15 mai (lien) avec keynote d'Alain Aspect le 15 mai·       International Conference on Quantum Computing 2025 (ICoQC2025) à l'Institut Poincaré la semaine du 12 mai (inscriptions).·       Scaling of spin qubits workshop le 16 mai à l'ENS Paris (inscriptions).·       Inauguration de la Maison du Quantique de Grenoble le 19 mai.·       Quantum Matter à Grenoble la semaine du 19 mai (lien).·       Forum Teratec au Parc Floral le 21 mai (lien) ou avec mes collègues du groupe de travail de l'Académie des Technologie, je vais présenter une synthèse du rapport de l'Académie sur le calcul FTQC.·       International Conference on Quantum Energy à Padoue où j'interviens la première semaine de juin (lien).·       France Quantum le 10 juin (lien).·       Séminaire TQCI Benchmark chez Eviden les 24 et 25 juin.·       Lancement de la Quantum Datacenter Alliance à Londres le 26 juin, où je serais.·       Congrès de la SFP à Troyes la première semaine de juillet. Avec trois prix Nobel. Aspect, Anne l'Huillier (lien).·       Emerging optimization methods: from metaheuristics to quantum approaches 22th EU/ME meeting x Quantum School on, Fraunhofer-Platz 1, 67663 Kaiserslautern, Germany 10th - 12th September 2025. Actualités Pasqal La startup annonçait un record avec le contrôle du positionnement de 506 atomes.  Alice & BobUne estimation de ressources pour le calcul quantique distribué réalisé par les équipes d'Alice&Bob avec Nicolas Sangouard de l'IPhT : Network Requirements for Distributed Quantum Computation by Hugo Jacinto, Élie Gouzien, and Nicolas Sangouard, arXiv, April 2025 (26 pages). Qperfectbenchmarking d'émulateurs à base de réseaux de tenseurs qui place MIMIC en bonne position : Comparative Benchmarking of Utility-Scale Quantum Emulatorsby Anna Leonteva, Guido Masella, Maxime Outteryck, Asier Piñeiro Orioli, and Shannon Whitlock, arXiv, April 2025 (28 pages).  Chipiron lève 14M€Chipiron - High quality 1 mT MRI by Zineb Belkacemi, Dimitri Labat et al, March 2025 (35 pages). Quandela Quandela nommait Alberto Peruzzo comme VP NextGen Quantum Computers (Vice-Président en charge des ordinateurs quantiques de nouvelle génération). Il était chez Qubit Pharmaceuticals depuis 2023. Il est le premier auteur d'un papier important sur l'algorithme VQE : A Variational Eigenvalue Solver on a Photonic Quantum Processor by Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J. Love, Alán Aspuru-Guzik & Jeremy L. O'Brien, Nature Communications, 2014 (7 pages). Quobly et C12 en podcastMaud Vinet était invitée dans le podcast de Yuval Boger ainsi que dans France Culture. Et dans le podcast Silicon Carne, en compagnie de Pierre Desjardins et toi Olivier, animé par Carlos Diaz (lien).  Sélection DARPALe 3 avril 2025, la DARPA annonçait son choix d'entreprises pour la première phase de son programme Quantum Benchmark Initiative. 18 acteurs du calcul quantique ont été retenus ·       Alice&Bob fait partie des sélectionnés. ·       Côté USA : IBM, Atom Computing, IonQ, Quantinuum, Rigetti, HPE/Qolab.·       Ailleurs : Oxford Ionics, Diraq, Nord Quantique, Photonic Inc, Quantum Motion, SQC et Xanadu. Fujitsu et Riken supportent 256 qubits supraconducteurs Fujitsu annonçait un record au Japon avec la création d'un QPU avec 256 qubits supraconducteurs. I Kipu QuantumLa startup Berlinoise présentait plusieurs preprints affirmant avoir généré un avantage quantique calculatoire en NISQ sur des problèmes d'optimisation, sur IBM Heron r2 avec 156 qubits.  https://kipu-quantum.com/knowledg...

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.

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

How can quantum computing move beyond theory and become a practical tool for businesses and researchers? In this episode of Tech Talks Daily, I explore this question with Michael Gleaves, a UK-based AI and quantum expert at Eviden, the Atos Group business specializing in advanced computing. Eviden has been at the forefront of quantum innovation, launching Qaptiva™, a quantum computing ecosystem designed to integrate real-world applications with classical high-performance computing. The company recently announced its first hosted quantum computer, offering both physical and remote access to organizations looking to experiment and develop quantum-powered solutions. Michael shares insights into the company's partnership with IQM Quantum Computers and how this collaboration is helping to improve qubit stability, enhance optimization models, and make quantum computing more accessible across industries. We discuss real-world use cases where quantum computing is already showing promise, from optimizing logistics and financial modeling to accelerating materials science and chemical simulations. Michael also unpacks the challenges that businesses face in adopting quantum technologies, including the complexities of integrating quantum with existing HPC and AI workflows, translating real-world problems into quantum-compatible formats, and overcoming hardware limitations in the noisy intermediate-scale quantum (NISQ) era. As quantum computing transitions from research labs to operational environments, how can businesses gain a competitive edge by engaging with these emerging technologies today? Join us for this deep dive into the state of quantum computing, its near-term applications, and what the future holds for industries looking to harness its power.

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!

Quantum computing needs error-corrected, logical qubits to exit the noisy intermediate-scale quantum (NISQ) era and bring real advantage to practical business and other use cases. A recent experiment at Harvard succeeded at creating 48 logical qubits on a neutral atom platform, and the techniques will be implemented in production systems in the future. We may have 100 logical qubits by 2026! Join Host Konstantinos Karagiannis for a chat with Alex Keesling from QuEra about this vastly accelerated timeline and what this means for the industry. And find out how soon you can start using logical qubits in the cloud. For more on QuEra, visit www.quera.com/. To read the Nature paper describing the 48 logical qubits achieved, visit www.nature.com/articles/s41586-023-06927-3. Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services to learn more about how Protiviti is helping organizations get post-quantum ready. Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and Twitter: @ProtivitiTech. Questions and comments are welcome! Theme song by David Schwartz, copyright 2021. The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries. None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.

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

In Episode 80, Patrick speaks with Sayon Chanda, Senior Scientist at National Renewable Energy Laboratory (NREL), one of US Department of Energy's leading federal research laboratories in Denver Colorado.The team discusses the NISQ era of Quantum Computing, the complexities of current electric utility configurations, and how electric utilities can prepare for a post quantum future. Learn more: https://www.nrel.gov/news/program/2023/quantum-computers-can-now-interface-with-power-grid-equipment.htmlSayonsom Chanda is a senior scientist at National Renewable Energy Laboratory (NREL) in Boulder, Colorado. He works in the intersection of advanced computing technologies and the electric power grid. For last seven years, he has worked extensively in implementation of AI technology for electric utilities in North America. Recently, his work on interfacing quantum computers and power grid simulators for developing industrial applications of quantum computing for solving the complex challenges of our times - including energy insecurity and climate change. Prior to joining NREL, Dr. Chanda was a Senior Data Scientist at National Grid in New York and an electrical engineer at Idaho National Laboratory. He is also the co-founder of two tech start-up companies where he helped them raise venture capital and develop commercial solutions for the utility industry. Over a dozen prominent conferences in the United States and abroad have invited him to speak on AI applications in the Energy industry, including a TEDX talk in 2021. He holds a Ph.D. in Electrical Engineering from Washington State University, has published more than 18 articles in journals with a high impact factor and holds three patents in cloud computing for power systems. He is also the author of a book “Resiliency of Electricity Distribution Systems," published by Wiley in the United Kingdom.

Bienvenue dans ce 52ième épisode de l'actualité quantique  ÉvénementsQuantAlps Days Deux jours de présentations de scientifiques du quantique de Grenoble issus de tous horizons, côté physique fondamentale, technologies quantiques, contrôle des qubits, et même questions sociétales, une des spécialités méconnues de Grenoble. Avec des chercheurs du CNRS (Institut Néel, LPMMC), du CEA (Leti, IRIG, LIST), d'Inria et d'UGA.Agenda : QuantAlps Days. Journée Minalogic DGAUne journée organisée conjointement par le pôle de compétitivité Minalogic et la DGA à Lyon le 5 octobre sur les applications duales des technologies quantiques.Lien sur l'agenda.Slides d'Olivier BIGGrand événement annuel de Bpifrance avec quelques startups du quantique bien mise en valeur, y compris sur la grande scène du « BANG », où intervenait Pascale Senellart de Quandela, sur le thème de la fierté.Inauguration de la Maison du QuantiqueElle avait lieu lundi 23 octobre à Station F.Y intervenaient notamment Paul Midy (député de l'Essonne), Neil Abroug (SGPI) et Michel Paulin (OVHcloud) qui a notamment annoncé l'installation du premier ordinateur quantique français dans le cloud, celui de Quandela.https://qbn.world/first-quandela-quantum-computer-delivered-and-installed-in-ovhcloud-datacenter/ Prix Nobel de physiqueIl a été attribué début octobre à deux chercheurs français, Anne L'Huillier et Pierre Agostini qui travaillent respectivement en Suède et aux USA, ainsi qu'à l'Autrichien Ferenc Krausz.Visite ENSTAVisite du  laboratoire de Davide Boschetto (LOA) de l'ENSTA, Inauguration usine C12 à ParisLe 27 octobre avait lieu l'inauguration de l'usine de qubits à nanotubes de carbone de C12 en présence de Jean-Noël Barrot (gouvernement) et de Valérie Pécresse (présidente de la région IDF).European Quantum Technologies Conference à Hanovre16 au 20 octobre.Conférence avec de nombreuses interventions  Programme. BâleLe 31 octobre intervention d'Olivier dans un workshop investisseur/startups organisé par QAI Ventures.Talk d'une heure et rencontre avec quelques startups : Kipu Quantum, Anaqor et CDG. QECC 2023Conférence sur la correction d'erreurs à Sidney en Australie.6ième édition de la conférence avec 230 participants. https://quantum.sydney.edu.au/qec23/ Actualité entrepreneuriale et scientifique Kwan-TekLa startup de capteurs quantique de Lorient Wainvam-E renait sous le nom de Kwan-Tek et est reprise par l'un de ses cofondateurs Rémi Geiger que nous avions reçu en avril 2022 dans le 44ième épisode de Decode Quantum.  Pasqal Pasqal a annoncé faire partie d'un consortium européen PANDA qui développe un ordinateur quantique photonique à variables continues.Atom ComputingCette startup américaine annonçait avoir atteint 1180 qubits en coiffant au poteau IBM qui doit sortir sa machine Condor de 1121 qubits d'ici la fin de l'année.IQMIQM annonçait début octobre la sortie d'un processeur de 20 qubits supraconducteurs. Cela complète la machine à 5 qubits qu'ils commercialisent pour environ 1 M€ au Universités. FujitsuLe Japonais présentait un ordinateur quantique supraconducteur de 64 qubits codéveloppé avec RIKEN. NTT a développé le logiciel de contrôle des qubits.Ils veulent à terme atteindre 1000 qubits.selon RIKEN et Subspace variational quantum simulator by Kentaro Heya et al, PRR, May 2023 (12 pages). IonQChris Monroe quitte la société et retourne à la recherche fondamentale. C'était le CSO et le cofondateur de la société en 2015. AWS paper on algorithms, excellentAmazon et diverses Universités US, Allemandes et du Royaume Uni publiaient un excellent « review paper » sur les algorithmes quantiques, leurs avantages et inconvénients, leurs besoins en resources et leur comparaison avec les meilleurs algorithmes classiques. 337 pages à consulter. Cela couvre aussi bien les modèles NISQ et FTQC.Quantum algorithms: A survey of applications and end-to-end complexities by Alexander M. Dalzell, Fernando G. S. L. Brandão et al, AWS, RWTH Aachen University, Imperial College London, Caltech, October 2023 (337 pages).Blog d'Amazon : https://aws.amazon.com/fr/blogs/quantum-computing/constructing-end-to-end-quantum-algorithm/ Rapport du CIGREF qui fait peur sur le quantiqueLinformatique quantique devient mature et largement utilisée en 2030, y compris pour casser des clés RSA 2048 bits.Voir 10 Ruptures à l'horizon 2030-2040, Cigref, Octobre 2023 (148 pages). Understanding Quantum Technologies disponible sur Amazon après avoir publié le 28 septembre dernier la sixième version de ta bible, la voilà disponible sur Amazon en trois volumes depuis le 22 octobre.Elle est à respectivement 25€, 42€ et 42€ pour ces trois volumes https://www.oezratty.net/wordpress/2023/understanding-quantum-technologies-2023-paperback-edition/ N'hésitez pas à nous envoyer vos questions à fanny.bouton@ovhcloud.com. 

In Episode 72, Patrick and Ciprian speak with returning guest Mariia Mykhailova, Principal Software Engineer at the Advanced Quantum Development Group at Microsoft.The team discuss the NISQ era of Quantum algorithms, resource estimation, and Microsoft's end-to-end approach to Quantum Computing.Mariia Mykhailova is a principal software engineer at the Advanced Quantum Development team at Microsoft. She works on developing software for fault-tolerant quantum computation, and before that she spent five years focusing on quantum education and outreach for Azure Quantum and Microsoft Quantum Development Kit. Mariia is the author and maintainer of the Quantum Katas project – an open-source collection of hands-on tutorials and programming problems for learning quantum computing. She is also a part-time lecturer at Northeastern University, teaching “Introduction to Quantum Computing” since 2020, and the author of the O'Reilly book “Q# Pocket Guide”.

Dans le 51e épisode de Quantum, Fanny Bouton et Olivier Ezratty font le tour de l'actualité quantique du mois de septembre 2023.Taiwan et IsraëlPour Taiwan, le point de départ était une invitation à intervenir à Semicon Taiwan dans un quantum workshop d'une demi-journée sur le quantique. Présentation sur l'écosystème européen et français. Voir European and France quantum technologies ecosystems, Olivier Ezratty (34 slides). Pour Israël, rencontre les cofondateurs de la startup PhotonicsQ, le CTO de Quantum Machines (Yonathan Cohen) ainsi que Steven Frankel, un professeur du Technion sur les questions de NISQ et de mécanique des fluides.Quantum Business EuropeAI for Finance avec Pascal et CACIBReplay https://www.youtube.com/watch?v=EwTaVTuTD3QIEEE Quantum Week (I3E)L'IEEE organisait sa Quantum Week, une Conférence d'une semaine à Bellevue près de Seattle du 17 au 22 septembre 2023. France Digitale DayTable ronde avec Sabine Mehr du GENCI et Georges Olivier Raymond de Pasqal, animée par Kenzo Bougneta.  Word Quantum Congress 2023Il avait lieu les 26 au 28 septembre 2023 à Tysons en Virginie, à quelques kilomètres à l'Ouest de Washington DC. Visite à GrenoblePremière semaine d'octobre, deux journées de séminaire QuantAlps Days de la fédération QuantAlps. Avec des intervenants de renom comme Daniel Stilck-Franca, Aurélien Drezet, Matias Urdampilleta, une thématique sur l'impact sociétal des technologies quantique, un thème très développé dans l'écosystème grenoblois notamment autour de la fédération INNOVACS et de Thierry Ménissier, Candice Thomas (CEA-Leti), Luca Planat de Silent Waves, Julia Meyer du CEA-IRIG, Valentin Savin (également CEA-IRIG) et Benoît Vermersch (LPMMC).IBM Un nouveau papier remettant en cause la notion d'utilité quantique d'IBM, provenant cette fois-ci de Multiverse. Efficient tensor network simulation of IBM's largest quantum processors by Siddhartha Patra et al, September 2023 (6 pages).IBM a aussi annoncé un nouveau pricing pour l'accès à ses machines en ligne.Ils ont inauguré un ordinateur à 127 qbit à Bromont Annonce IonQAnnonce de Tempo avec 64 qubits pour lesquels ils "prennent les commandes", et qui sera disponible pour 2025. Annonce de Pasqal et Qbit pharma Sortie du nouveau livre d'Olivier :Ca y est, Understanding Quantum Computing 2023 est sorti, le 28 septembre 2023.1364 pages, près de 1000 illustrations et 3300 références bibliographiques. Et aussi plus de 100 nouvelles sociétés du secteur avec une description de leur activité.

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.

Quantum computing needs logical, error-corrected qubits to reach the ultimate goal of fault-tolerant systems that can change the world. Without logical qubits, we won't be able to have production-ready business use cases that are pure quantum. Is it too early to be thinking about creating these “perfect” qubits? One company says it's already tackling the problem with a new take on the old quantum-classical Schrödinger's Cat thought experiment. Join Host Konstantinos Karagiannis for a chat about cat qubits with Théau Peronnin from Alice&Bob. For more on Alice&Bob, visit https://alice-bob.com/. Visit Protiviti at www.protiviti.com/postquantum to learn more about how Protiviti is helping organizations get post-quantum ready.           Follow host Konstantinos Karagiannis on Twitter and Instagram: @KonstantHacker and follow Protiviti Technology on LinkedIn and Twitter: @ProtivitiTech.            Contact Konstantinos at konstantinos.karagiannis@protiviti.com.            Questions and comments are welcome!       Theme song by David Schwartz, copyright 2021. The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries. None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.

 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

Evénements Workshop EQSI le 2 mai par le workshop organisé par l'European Quantum Software Institute qui rassemble plusieurs pays européens dont la France.https://www.eqsi.org/events/workshops/eqsi-workshop-2-may-2023/ Q2BLa Q2B organisée par QCWare avait lieu à Paris les 3 et 4 mai https://q2b.qcware.com/2023-conferences/paris/agenda/ Evénement TQCI de Terratec sur le benchmarking chez Thales le 11 mai avec un excellent line-up d'intervenants internationaux sur le thème du benchmarking applicatif dans le calcul quantique.https://teratec.eu/Seminaires/TQCI/2023/Seminaire_TQCI-230511.html+ le projet BACQ piloté par Frédéric Barbaresco de Thales, qui se place dans la stratégie nationale quantique, et dans le cadre du projet METRIQ du LNE. https://thequantuminsider.com/2023/05/17/bacq-delivering-an-application-oriented-benchmark-suite-for-evaluating-quantum-computing-performance/ Lab Quantique chez OVHcloudLa dernière réunion du Lab Quantique avait lieu le 17 mai chez OVHcloud. Elle rassemble l'écosystème français du quantique.Workshop de kick-off du Working Group IEEE de la QEI le 25 mai Visite au QuébecNous participions tous les deux à un voyage d'étude quantique au Québec organisé par Bpifrance (Nolvwen Simonot) et Investissement Québec.Il s'agissait de découvrir l'écosystème quantique québécois et surtout d'inciter les entreprises françaises du voyage à s'implanter au Québec et notamment à Sherbooke.France Quantum le 13 juin à Station F. Billet offert par OVHcloud ici : (code de réduction = OVHVIP74072) : https://www.francequantum.fr/registration/registration-attendees/?discount=OVHVIP74072&productid=761d242e-98be-ed11-9f73-6045bd8890e4&qty=1 Actualité technologiques Lancement d'Eviden CaptivaNouveau packaging de l'offre logicielle d'Atoshttps ://www.hpcwire.com/2023/05/11/eviden-atos-launches-qaptiva-platform-for-quantum-software-development/ QuEraPlateforme logicielle Bloqade pour le contrôle des simulations quantiques.Présentation : https ://drive.google.com/file/d/1httkGph_2VNYv-PcyX1OgRpLBUwaGetX/view ?usp=sharingVidéo : https ://news.harvard.edu/gazette/story/2022/05/moving-entangled-atoms-in-quantum-processor/ IBMBeaucoup d'actualités récentes chez IBM.https://research.ibm.com/blog/100k-qubit-supercomputer Google Google investit $50M sur 10 ans au Japon et aussi à l'Université de Chicago.https://blog.google/technology/ai/quantum-computing-partnership-chicago-tokyo-universities/ Les papiers scientifiques d'OlivierPremier peer review paper sur les qubits supraconducteurs dans European Physical Journal A.https://www.oezratty.net/wordpress/2023/my-first-peer-reviewed-paper-on-quantum-computing/ Papier arXiv sur le NISQ. « Where are with heading with NISQ?”https://www.oezratty.net/wordpress/2023/where-are-we-heading-with-nisq/ RDV à France Quantum et Vivatech en juin !

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.

Chris Bishop's latest Quantum Tech Pod with Shai Machnes, Co-founder and Chief Executive Officer, Qruise is live! Shai's team is using machine learning & Quantum Optimal Control to improve control of the current generation of noisy intermediate scale quantum computers (NISQ devices). His company is also developing Machine Learning for Science as a productized toolset to make ML-driven discovery accessible to all. They are starting with a junior quantum control physicist, similar to the capabilities of a 2nd year PhD student and growing from there. Take a listen to this interesting conversation! #Qruise #ML #machinelearning  #quantumcomputing Inside Quantum Technology #IQT

Squeezing every bit of performance out of a NISQ-era quantum processor is usually handled in the software stack. But what if you could actually design QPUs for specific types of use cases? Anastasia Marchenkova is working on this approach at Bleximo and the result has been a remarkable boost to speed. Join host Konstantinos Karagiannis for a chat about the possibilities of these application-specific quantum computers, as well as the terrific awareness work Anastasia has been doing for years.For more on Bleximo, visit https://bleximo.com/.To read Anastasia's blogs or follow her social media, visit https://www.amarchenkova.com/.Watch the video of this episode at www.youtube.com/watch?v=7BvDbNcufnM. Visit Protiviti at www.protiviti.com/postquantum to learn more about how Protiviti is helping organizations get post-quantum ready. Follow host Konstantinos Karagiannis on Twitter and Instagram: @KonstantHacker and follow Protiviti Technology on LinkedIn and Twitter: @ProtivitiTech.  Contact Konstantinos at konstantinos.karagiannis@protiviti.com. Questions and comments are welcome! Theme song by David Schwartz. Copyright 2021.

Sabrina Maniscalco, co-founder and CEO of Algorithmiq, a company that is bringing quantum to life and to life sciences is interviewed by Yuval Boger. They talk about Algorithmiq's approach to achieving quantum advantage for life science applications using NISQ-era gate-based machines, her prediction for when quantum advantage will be achieved, the journey from Sicilia to Finland, and much more.

Prix Nobel d'Alain AspectBelle surprise le 4 octobre dernier avec le prix Nobel d'Alain Aspect. Pour la petite histoire, c'est le premier scientifique que nous avions rencontré lors de nos débuts dans la découverte du quantique en 2018. https://www.scientificamerican.com/article/the-universe-is-not-locally-real-and-the-physics-nobel-prize-winners-proved-it/?amp;text=TheLes explications de Sabine Hossenfelderhttps://twitter.com/skdh/status/1577870071526998016  Why ψ is incomplete indeed: a simple illustration by Philippe Grangier, October 2022 (2 pages). Impact immense de ces travaux dans tous les piliers des technologies quantiques. Semaine du Quantique à Grenoble- Gagnants du hackathon : équipes du Ministère des Armées (avec Alice&Bob), de Thales et de CACIB.- Minalogic - Journée QuantAlps Visite des laboratoires à Grenoble organisées par QuantAlps le 24 novembre 2022.https://www.linkedin.com/feed/update/urn:li:activity:6988222804059914240/ UNISTRA (Université de Strasbourg) lance une nouvelle infrastructure européenne pour l'informatique quantique avec des atomes de Rydberg : EuRyQa.https://www.unistra.fr/communiques-presse/detail-des-communiques-et-dossiers/20731-une-nouvelle-infrastructure-europeenne-pour-linformatique-quantique-avec-des-atomes-de-rydberg-euryqa  BIG de Bpifrance le 7 octobre Le Lab Quantique le 19 octobreAnnonce DeepNum20 de la FrenchTechAvec Alice&Bob, Pasqal et Quandela parmi les lauréats. A venir : Conférence Optica à Saint Germain en Laye les 8 et 9 novembre. https://www.optica.org/en-us/events/industry_events/2022_optica_industry_summit_quantum/ LOQCathon QICS. Hackathon organisé par Quandela avec OVHcloud comme partenaire. Les 7, 8 et 9 novembre à Jussieu. Gagnants sélectionnés et dévoilés l'après-midi du mercredi 9 novembre. Organisé par QICS, le cluster quantique de Sorbonne Université dont fait partie le LIP6. EcoEx On Stage OVHcloud à l'Olympia le 8 novembre avec Valerian Giez, Maud Vinet et Christophe Legrand de Pasqal et Alain Aspect.https://ecoexonstage.ovhcloud.com/fr/Conférence de design fiction sur les technologies quantiques à Grenoble le 21 novembre organisée par INOVACS.https://www.univ-grenoble-alpes.fr/actualites/agenda/agenda-formation/quantique-scenarisez-votre-futur--1154756.kjsp?RH=1573726031684Aux USA Google à Santa BarbaraJoe Biden visite IBM à Poughkeepsie. https://thequantuminsider.com/2022/10/18/the-rise-of-the-chief-quantum-officer-and-the-prospect-of-quantum-at-the-governance-level-an-interview-with-shai-phillips-president-of-psirch/ Science Recherche sur la création de cluster states de photons très active en ce moment. See Generation of large-scale continuous-variable cluster states multiplexed both in time and frequency domains by Peilin Du, [Submitted on 19 Oct 2022]. Création d'une classe de complexité NISQ. The Complexity of NISQ by Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li, October 2022 (52 pages). Classification  utile des algorithmes hybrides.See Classification of Hybrid Quantum-Classical Computing by Frank Phillipson et al, October 2022 (8 pages). Un article d'IBM explique avec une bonne pédagogie la correction d'erreur.Trois catégories :Quantum Error Suppression (QES) : réalisée au niveau du hardware.Quantum Error Mitigation (QEM). Correction d'erreur pour le NISQ, après les calcul, avec méthodes statistiques et souvent du machine learning.Quantum Error Correction (QEC). Correction des erreurs après chaque opération. Notion de qubit logique et de tolérance de panne.https://research.ibm.com/blog/quantum-error-suppression-mitigation-correctionIntérêt de D-Wave pour les algorithmes d'optimisation.See On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization by Byron Tasseff et al, October 2022 (25 pages).Les "autres" sujetsMastercard sort une carte de crédit avec une PQC. https://www.mastercard.com/news/press/2022/october/mastercard-and-partners-deliver-first-contactless-cards-for-quantum-world/ Un rapport de Capgemini fait le lien entre technologies quantiques (capteurs compris) et la « sustainability », en reprenant la classification des Nations Unies.https://prod.ucwe.capgemini.com/wp-content/uploads/2022/10/Quantum-Technologies__Sustainability_20-09-2022_final.pdf Cerveau quantique : un chercheur irlandais prétend qu'une expérience démontre que le cerveau fonctionne comme un ordinateur quantique. https://thequantuminsider.com/2022/10/20/new-research-suggests-our-brains-use-quantum-computation/https://www.tcd.ie/news_events/articles/our-brains-use-quantum-computation/https://www.journals.elsevier.com/physics-of-life-reviews/news/discovery-of-quantum-vibrations   

Actualités françaisesLa région Île de France renouvelle son soutien à la recherche dans les technologies quantiquesRecherche : 9 nouveaux Domaines d'intérêt majeur soutenus par la Région Île-de-France Inauguration du laboratoire QTech de l'ONERAhttps://www.youtube.com/watch?v=LIcOJ4_qySEArticle de David Larousserie dans Le Monde du 17 février sur les startups françaises du quantiquehttps://www.lemonde.fr/economie/article/2022/02/17/une-nouvelle-vague-de-start-up-francaises-deferle-dans-la-technologie-quantique_6113997_3234.html?utm_source=dlvr.it&utm_medium=linkedinEt un autre article : Satellite-based Quantum Information Networks: Use cases, Architecture, and Roadmap “Mitigating the Quantum Hype” Mitigating the quantum hype, par Olivier Ezratty, février 2022 (26 pages). Actualités scientifiquesQuantum Algorithms Outlook 2022 par David Shaw de Fact Based Insights.Quantum Machine Learning and its applications by David Peral García et al, January 2022 (28 pages).Noisy intermediate-scale quantum (NISQ) algorithms by Kishor Bharti, Alán Aspuru-Guzik et al, October 2021 (91 pages).Puis côté physique et materiel :Mesoscopic physics of nanomechanical systems by Adrian Bachtold et al, February 2022 (87 pages).Multicore Quantum Computing by Hamza Jnane, Simon Benjamin et al, Quantum Motion, January 2022 (24 pages).The impact of hardware specifications on reaching quantum advantage in the fault tolerant regime by Mark Webber et al, September 2021 (16 pages). Number of qubits depends on precision and computing time. 13 to 317 million qubits to break Bitcoin. Même ordre de grandeur pour FeMoCo. Aussi cité dans https://thequantuminsider.com/2022/01/28/researchers-say-todays-quantum-computers-are-millions-of-times-too-small-to-crack-bitcoin/ Comment évaluer les qubits exotiques qui apparaîssent régulièrement? https://www.tomshardware.com/news/quantum-computing-researchers-achieve-100-million-quantum-operationshttps://phys.org/news/2021-12-silicon-carbide-vacancies-quantum.htmlhttps://www.science.org/doi/10.1126/sciadv.abm5912 Actualités internationalesLe Québec lance des zones d'innovation dont une sur le quantique à Sherbrooke. https://www.quebec.ca/nouvelles/actualites/details/lancement-des-zones-dinnovation-des-investissements-de-plus-de-435-m-pour-le-lancement-de-sherbrooke-quantique-37725 D-Wave d'annoncer une SPAChttps://quantumobserver.substack.com/p/dive-in-to-d-wavehttps://www.dwavesys.com/media/2wlhipm0/d-wave-investor-presentation-2-11-22.pdf Rigetti annonce des résultats quantitatifs pour ses qubits supraconducteurs.https://medium.com/rigetti/optimizing-full-stack-throughput-and-fidelity-with-rigettis-aspen-m-459ee5b2873f Et atteinte d'un record d'une fidélité de 99,5% sur une nouvelle architecture de processeur et pour les portes à deux qubits. https://www.globenewswire.com/news-release/2022/02/17/2387271/0/en/Rigetti-Computing-Reports-Fidelities-as-High-as-99-5-on-Next-Generation-Chip-Architecture.html Projet de recherche “Deutsche Brilliance” (DE-Brill) impliquant la startup australo-allemande Quantum Brilliance, le Fraunhofer Institute et l'Université d'Ulm https://thequantuminsider.com/2022/01/27/quantum-brilliance-to-lead-22-5-million-research-project-on-high-performance-quantum-microprocessors/ TerraQuantum (Suisse) lève $60M pour développer leur offre logicielle.https://thequantuminsider.com/2022/01/20/terra-quantum-raises-60-million-to-accelerate-quantum-as-a-service-tech/ Classiq (Israel) annonce une levée de fonds de $33M.https://www.linkedin.com/posts/yuvalboger_classiq-announces-33m-in-new-funding-accelerating-activity-6900094703828578304-9m1l   

The Quantum AI Series features exclusive interviews of the global innovators shaping the future of quantum computing. In Episode 2 of Season 2, Maëva Ghonda, the founder and chair of the Quantum AI Institute, interviews Matt Johnson, CEO of QC Ware. Matt Johnson is the CEO of QC Ware, a quantum computing software company he co-founded in 2014. Prior to QC Ware, Matt worked in principal investing–as a partner at Apollo Management and a managing director at Credit Suisse. Prior to that, Matt was a captain in the US Air Force. Matt has an MBA from Wharton and a BS from the US Air Force Academy. Matt completed a solo crossing of the English Channel and remains an avid swimmer. QC Ware is a leading quantum computing software startup with offices in Palo Alto, Paris and (soon) Tokyo. QC Ware investors include: Goldman Sachs, Citigroup, Koch Disruptive Technologies, Airbus Ventures, Samsung, Covestro, DE Shaw and Pegasus. And, its customer base includes BMW, Roche, British Petroleum, Total SA as well as a number of other undisclosed Fortune 100 companies. QC Ware's mission is to be the first software provider to deliver quantum advantage on NISQ hardware to its customers in pharma, materials, financial services and engineering. The company runs the annual Q2B conference (www.q2b.us), which is the major industry event for practical quantum computing. --- Send in a voice message: https://anchor.fm/quantum-ai-institute/message

Bob Coercke is a celebrated physicist, he's been a Physics and Quantum professor at Oxford University for the last 20 years. He is particularly interested in Structure which is to say, Logic, Order, and Category Theory. He is well known for work involving compositional distributional models of natural language meaning and he is also fascinated with understanding how our brains work. Bob was recently appointed as the Chief Scientist at Cambridge Quantum Computing. Bob thinks that interactions between systems in Quantum Mechanics carries naturally over to how word meanings interact in natural language. Bob argues that this interaction embodies the phenomenon of quantum teleportation. Bob invented ZX-calculus, a graphical calculus for revealing the compositional structure inside quantum circuits - to show entanglement states and protocols in a visually succinct but logically complete way. Von Neumann himself didn't even like his own original symbolic formalism of quantum theory, despite it being widely used! We hope you enjoy this fascinating conversation which might give you a lot of insight into natural language processing. Tim Intro [00:00:00] The topological brain (Post-record button skit) [00:13:22] Show kick off [00:19:31] Bob introduction [00:22:37] Changing culture in universities [00:24:51] Machine Learning is like electricity [00:31:50] NLP -- what is Bob's Quantum conception? [00:34:50] The missing text problem [00:52:59] Can statistical induction be trusted? [00:59:49] On pragmatism and hybrid systems [01:04:42] Parlour tricks, parsing and information flows [01:07:43] How much human input is required with Bob's method? [01:11:29] Reality, meaning, structure and language [01:14:42] Replacing complexity with quantum entanglement, emergent complexity [01:17:45] Loading quantum data requires machine learning [01:19:49] QC is happy math coincidence for NLP [01:22:30] The Theory of English (ToE) [01:28:23] ... or can we learn the ToE? [01:29:56] How did diagrammatic quantum calculus come about? [01:31:04 The state of quantum computing today [01:37:49] NLP on QC might be doable even in the NISQ era [01:40:48] Hype and private investment are driving progress [01:48:34] Crypto discussion (moved to post-show) [01:50:38] Kilcher is in a startup (moved to post show) [01:53:40 Debrief [01:55:26]

丽莎老师讲机器人之量子机器学习如何走进现实欢迎收听丽莎老师讲机器人，想要孩子参加机器人竞赛、创意编程、创客竞赛的辅导，找丽莎老师！欢迎添加微信号：153 5359 2068，或搜索钉钉群：31532843。2017年图灵奖得主曾说过：“如果能够把量子计算和AI放在一起，我们可能做出连大自然都没有想到的事情。”这等“敢叫天地换新颜”的技术前景，对于大多数普通人而言可能还略显遥远，但量子计算和量子机器学习的技术研究早已在全球多家科研机构和科技巨头的实验室中落地开花，可以向外界和技术人员提供基础的算法工具和资源，让公众可以一睹量子与智能的神奇力量。近日，百度飞桨 官宣发布了量子机器学习开发工具Paddle Quantum——量桨，成为国内唯一支持量子机器学习的深度学习平台。量桨的作用就是提供了一套量子机器学习的工具集，开放给科研人员，进行量子神经网络的搭建测试以及量子人工智能的研究。量桨的出现，到底能为量子机器学习带来多少显著进展，尚待时间检验，但一定程度上推动量子机器学习在我国的普及，为广大AI和量子计算的研究者提供了一条新的学习途径。按捺不住学习热情的你，一定想到量子计算和人工智能的技术交汇处，一窥量子机器学习的究竟，来衡量下投身入局的可能吧？为什么“量子计算”很配“人工智能”？进入正题之前，我们不妨先来简单了解下量子计算的基础背景，来降低下代入难度。先来看，量子为什么能够计算？二十世纪，自然界的一个重大物理发现就是量子力学，而量子力学主要的发现是基本粒子有两种状态——叠加和纠缠。通俗来理解，叠加，就是量子同时既是这样又是那样，一旦被观察或测量就会变成其中的一个样子，这就是著名的“测不准”；纠缠，就是两个成对的量子粒子，即使相隔宇宙两端，也能发生暗戳戳的神秘互动，这就是大名鼎鼎的“量子纠缠”。“叠加”决定了量子的并行计算的基础，“纠缠”决定了量子传输的基础。让量子的这些特性被用于计算时，就能用来处理非常复杂的数据计算。我们知道，经典计算的基本单位是比特（Bit），比特只能在0和1两个状态之间切换。经典计算只能在0和1的开合中实现线性计算，只不过现在的计算力非常巨大，一秒钟可以进行数十亿甚至更高的计算。而量子计算的基本单位的量子比特（Qubit），量子比特因为叠加效应就可以同时具有0和1的特征。随着量子比特数量的增加，量子比特的计算能力将会以指数级的方式增加。也就是，一个量子比特可以同时处于两个状态（0 和 1）。因此，两个相互作用的量子比特可以同时存储全部4个二进制值。通常，“n”个量子比特可以同时表示“2的n次方”个经典二进制值。我们用一个“玉米田迷宫”的例子来理解经典计算和量子计算的不同：经典计算就如同一个人在玉米田里寻找出口，这个人会先找一条路走下去，遇到阻碍就返回，再找一条路重新开始，再遇到阻碍就再返回，直到找到出口。而量子计算就如同有了多个分身，可以同时探索玉米迷宫里的每一条路径，同时一次就把出口找到。这样，量子计算的叠加态以及纠缠态形成的叠加坍缩构成的高并行计算能力，就为人工智能特别是机器学习所需要的数据处理和算法训练提供了一种新的可能。量子计算和人工智能也在发生一种相互“纠缠”又密不可分的关系，但这并不意味着量子计算加上机器学习，就可以立刻碰撞出显著的成果。量子机器学习仍在“襁褓”之初量子机器学习（Quantum ML）是一个量子计算和机器学习交叉的的跨学科技术领域，二者的结合可以产生一种互利互惠的结果。一方面，量子计算最主要的目标之一，就是借助于量子特性开发高性能的量子机器学习算法，从而加快或拓宽人工智能的应用场景。另一方面，量子计算在大规模应用落地之前还有许多非常棘手的科学与工程技术难题有待解决，这需要大量的先进计算工具，特别是AI技术帮助突破量子计算研发瓶颈。在机器学习和量子计算按照算法和数据二维划分下，可以得到四种不同分类——C-C、Q-C、C-Q和Q-Q。C-C就是传统的机器学习；Q-Q属于量子计算的开放域；而C-Q主要就是通过机器学习算法来解决量子物理的问题，比如对量子系统的控制对象建模，对扰动、噪声等参数特征的辨识，推动量子计算发展。而Q-C就是利用量子理论改进机器学习，推动机器学习算法的量子化。一种方法是通过量子计算把原先经典计算中不可计算的问题变为可计算的, 从而大幅降低机器学习算法的计算复杂度；一种方法是通过量子计算并行加速的优势与机器学习的算法深度结合，催生出全新的量子机器学习算法模型。传统的神经网络只能使用单个网络来存储许多算法模式；而量子神经网络，因为量子叠加效应带来的并行性，可以使用许多网络来存储许多算法模式。不过，量子神经网络的实现并不容易，因为最终这些算法想要真正发挥作用则需量子计算机（处理器）的支持。据报道，2018 年，意大利帕维亚大学的研究团队在只有4个量子比特的量子计算机上实现了世界上第一个单层神经网络。这一模型能够准确地模拟单个神经元的行为，像这样的单层模型能够识别简单的模式。然而，它还没有扩展到由多层神经元组成的深度神经网络。不过，这至少是在量子硬件上有效训练量子神经网络而迈出的第一步。与传统神经网络相比，量子神经网络具有很多优势，比如，指数级记忆容量、更快的学习和处理速度、更小的规模以及更高的稳定性和可靠性等。尽管量子硬件的进度稍显缓慢，但算法模型理论可以先行。谷歌的Quantum AI 团队就在当时已经预先构建出一个可以在量子计算机上训练的深度神经网络的理论模型。而到了今年3月，谷歌又宣布开源一款用于训练量子模型的机器学习库 TensorFlow Quantum（简称 TFQ）。TFQ 包含了特定量子计算所需的基本结构，例如量子比特、门、电路和测量运算符。用户指定的量子计算然后可以在模拟或真实硬件上执行。目前，量子机器学习的发展仍然处于起步阶段，当前的一些应用上面可以做到使用量子神经网络来生成一些演奏出全新声音的新乐器等。未来量子机器学习的应用前景却更加令人兴奋，比如拥有指数级存储和检索能力的量子神经网络可以模拟人类大脑或者模拟黑洞，能够帮助人类真正探索世界最深邃的本质。这也许才是量子机器学习和量子计算发挥终极价值的场域。量子机器学习的成长“难关”量子计算本身就是一项复杂技术，而量子机器学习这一交叉技术的研发难度自然又进一步提高。量子机器学习算法的成熟自然要得益于软硬件两方面的同时提升，而在这两方现在都仍然还存在一些难关要闯过。首先，我们要知道，传统的机器学习语言并不能直接地移植到量子计算上面，而是需要先把当前的机器学习代码转换成使用量子比特的量子态，从而构建出量子神经网络。这就是所谓的量子机器学习的I/O瓶颈，所谓I/O瓶颈是指，目前大部分量子机器学习算法或者需要把大规模数据集编码为量子态，或者只是把问题的解生成在量子态中，因此输入阶段的前处理和信息提取阶段的后处理将耗费大量时间，乃至抵消量子算法所节省的时间。其次，则是真正意义上的通用量子计算机尚没有出现，而现在意义上的上千个量子比特的量子计算机在可以良好抗噪声、解决退相干问题上还存在着一定的问题，也就是还不能达到迪文森佐标准的量子计算机。这意味着能够支撑量子机器学习算法得以实际验证的硬件手段仍然是缺乏的，研究者大多只能通过量子模拟器的方式来实现多个量子比特的运算。比如说，此次谷歌TFQ为量子机器学习研究提供了一个内含大约 50~100 量子比特的噪声中级量子处理器（NISQ）的工具，从而控制 / 建模自然或人工量子系统。基于此，现在TFQ的量子机器学习模型可以处理量子数据模型和混合量子经典模型，帮助开发者能够改进现有的量子算法或发现一些新的算法。基于软硬件上面的现实困难，量子机器学习算法上面的突破还有很长的时间。此外，在一些计算问题上，量子机器学习的算法和经典算法相比是否一定有加速优势，则仍然存疑。2018年，年仅18岁的华裔学生Ewin Tang受量子推荐算法的启发，设计出了一个经典算法，它能以和量子算法相近的速度解决推荐问题。这一思路给了研究者以启示：通过量子算法思维能促进经典算法的发展，这也是量子计算研究意义的另一种体现。尽管目前来说，量子机器学习既没有像去年谷歌所宣称的“量子霸权”那样引人瞩目，也不能像人工智能在现实生活的广泛应用而成绩显著。但量子机器学习更像是一个面向未来世界的计算产物。回到几十年前，量子计算的实现和机器学习的神经网络的实现，都一度被认为是不可能的事情。而这二者竟然都能够实现，现在还处在了相互结合的交汇点上，已然是人类技术的一次奇遇。

丽莎老师讲机器人之量子机器学习如何走进现实欢迎收听丽莎老师讲机器人，想要孩子参加机器人竞赛、创意编程、创客竞赛的辅导，找丽莎老师！欢迎添加微信号：153 5359 2068，或搜索钉钉群：31532843。2017年图灵奖得主曾说过：“如果能够把量子计算和AI放在一起，我们可能做出连大自然都没有想到的事情。”这等“敢叫天地换新颜”的技术前景，对于大多数普通人而言可能还略显遥远，但量子计算和量子机器学习的技术研究早已在全球多家科研机构和科技巨头的实验室中落地开花，可以向外界和技术人员提供基础的算法工具和资源，让公众可以一睹量子与智能的神奇力量。近日，百度飞桨 官宣发布了量子机器学习开发工具Paddle Quantum——量桨，成为国内唯一支持量子机器学习的深度学习平台。量桨的作用就是提供了一套量子机器学习的工具集，开放给科研人员，进行量子神经网络的搭建测试以及量子人工智能的研究。量桨的出现，到底能为量子机器学习带来多少显著进展，尚待时间检验，但一定程度上推动量子机器学习在我国的普及，为广大AI和量子计算的研究者提供了一条新的学习途径。按捺不住学习热情的你，一定想到量子计算和人工智能的技术交汇处，一窥量子机器学习的究竟，来衡量下投身入局的可能吧？为什么“量子计算”很配“人工智能”？进入正题之前，我们不妨先来简单了解下量子计算的基础背景，来降低下代入难度。先来看，量子为什么能够计算？二十世纪，自然界的一个重大物理发现就是量子力学，而量子力学主要的发现是基本粒子有两种状态——叠加和纠缠。通俗来理解，叠加，就是量子同时既是这样又是那样，一旦被观察或测量就会变成其中的一个样子，这就是著名的“测不准”；纠缠，就是两个成对的量子粒子，即使相隔宇宙两端，也能发生暗戳戳的神秘互动，这就是大名鼎鼎的“量子纠缠”。“叠加”决定了量子的并行计算的基础，“纠缠”决定了量子传输的基础。让量子的这些特性被用于计算时，就能用来处理非常复杂的数据计算。我们知道，经典计算的基本单位是比特（Bit），比特只能在0和1两个状态之间切换。经典计算只能在0和1的开合中实现线性计算，只不过现在的计算力非常巨大，一秒钟可以进行数十亿甚至更高的计算。而量子计算的基本单位的量子比特（Qubit），量子比特因为叠加效应就可以同时具有0和1的特征。随着量子比特数量的增加，量子比特的计算能力将会以指数级的方式增加。也就是，一个量子比特可以同时处于两个状态（0 和 1）。因此，两个相互作用的量子比特可以同时存储全部4个二进制值。通常，“n”个量子比特可以同时表示“2的n次方”个经典二进制值。我们用一个“玉米田迷宫”的例子来理解经典计算和量子计算的不同：经典计算就如同一个人在玉米田里寻找出口，这个人会先找一条路走下去，遇到阻碍就返回，再找一条路重新开始，再遇到阻碍就再返回，直到找到出口。而量子计算就如同有了多个分身，可以同时探索玉米迷宫里的每一条路径，同时一次就把出口找到。这样，量子计算的叠加态以及纠缠态形成的叠加坍缩构成的高并行计算能力，就为人工智能特别是机器学习所需要的数据处理和算法训练提供了一种新的可能。量子计算和人工智能也在发生一种相互“纠缠”又密不可分的关系，但这并不意味着量子计算加上机器学习，就可以立刻碰撞出显著的成果。量子机器学习仍在“襁褓”之初量子机器学习（Quantum ML）是一个量子计算和机器学习交叉的的跨学科技术领域，二者的结合可以产生一种互利互惠的结果。一方面，量子计算最主要的目标之一，就是借助于量子特性开发高性能的量子机器学习算法，从而加快或拓宽人工智能的应用场景。另一方面，量子计算在大规模应用落地之前还有许多非常棘手的科学与工程技术难题有待解决，这需要大量的先进计算工具，特别是AI技术帮助突破量子计算研发瓶颈。在机器学习和量子计算按照算法和数据二维划分下，可以得到四种不同分类——C-C、Q-C、C-Q和Q-Q。C-C就是传统的机器学习；Q-Q属于量子计算的开放域；而C-Q主要就是通过机器学习算法来解决量子物理的问题，比如对量子系统的控制对象建模，对扰动、噪声等参数特征的辨识，推动量子计算发展。而Q-C就是利用量子理论改进机器学习，推动机器学习算法的量子化。一种方法是通过量子计算把原先经典计算中不可计算的问题变为可计算的, 从而大幅降低机器学习算法的计算复杂度；一种方法是通过量子计算并行加速的优势与机器学习的算法深度结合，催生出全新的量子机器学习算法模型。传统的神经网络只能使用单个网络来存储许多算法模式；而量子神经网络，因为量子叠加效应带来的并行性，可以使用许多网络来存储许多算法模式。不过，量子神经网络的实现并不容易，因为最终这些算法想要真正发挥作用则需量子计算机（处理器）的支持。据报道，2018 年，意大利帕维亚大学的研究团队在只有4个量子比特的量子计算机上实现了世界上第一个单层神经网络。这一模型能够准确地模拟单个神经元的行为，像这样的单层模型能够识别简单的模式。然而，它还没有扩展到由多层神经元组成的深度神经网络。不过，这至少是在量子硬件上有效训练量子神经网络而迈出的第一步。与传统神经网络相比，量子神经网络具有很多优势，比如，指数级记忆容量、更快的学习和处理速度、更小的规模以及更高的稳定性和可靠性等。尽管量子硬件的进度稍显缓慢，但算法模型理论可以先行。谷歌的Quantum AI 团队就在当时已经预先构建出一个可以在量子计算机上训练的深度神经网络的理论模型。而到了今年3月，谷歌又宣布开源一款用于训练量子模型的机器学习库 TensorFlow Quantum（简称 TFQ）。TFQ 包含了特定量子计算所需的基本结构，例如量子比特、门、电路和测量运算符。用户指定的量子计算然后可以在模拟或真实硬件上执行。目前，量子机器学习的发展仍然处于起步阶段，当前的一些应用上面可以做到使用量子神经网络来生成一些演奏出全新声音的新乐器等。未来量子机器学习的应用前景却更加令人兴奋，比如拥有指数级存储和检索能力的量子神经网络可以模拟人类大脑或者模拟黑洞，能够帮助人类真正探索世界最深邃的本质。这也许才是量子机器学习和量子计算发挥终极价值的场域。量子机器学习的成长“难关”量子计算本身就是一项复杂技术，而量子机器学习这一交叉技术的研发难度自然又进一步提高。量子机器学习算法的成熟自然要得益于软硬件两方面的同时提升，而在这两方现在都仍然还存在一些难关要闯过。首先，我们要知道，传统的机器学习语言并不能直接地移植到量子计算上面，而是需要先把当前的机器学习代码转换成使用量子比特的量子态，从而构建出量子神经网络。这就是所谓的量子机器学习的I/O瓶颈，所谓I/O瓶颈是指，目前大部分量子机器学习算法或者需要把大规模数据集编码为量子态，或者只是把问题的解生成在量子态中，因此输入阶段的前处理和信息提取阶段的后处理将耗费大量时间，乃至抵消量子算法所节省的时间。其次，则是真正意义上的通用量子计算机尚没有出现，而现在意义上的上千个量子比特的量子计算机在可以良好抗噪声、解决退相干问题上还存在着一定的问题，也就是还不能达到迪文森佐标准的量子计算机。这意味着能够支撑量子机器学习算法得以实际验证的硬件手段仍然是缺乏的，研究者大多只能通过量子模拟器的方式来实现多个量子比特的运算。比如说，此次谷歌TFQ为量子机器学习研究提供了一个内含大约 50~100 量子比特的噪声中级量子处理器（NISQ）的工具，从而控制 / 建模自然或人工量子系统。基于此，现在TFQ的量子机器学习模型可以处理量子数据模型和混合量子经典模型，帮助开发者能够改进现有的量子算法或发现一些新的算法。基于软硬件上面的现实困难，量子机器学习算法上面的突破还有很长的时间。此外，在一些计算问题上，量子机器学习的算法和经典算法相比是否一定有加速优势，则仍然存疑。2018年，年仅18岁的华裔学生Ewin Tang受量子推荐算法的启发，设计出了一个经典算法，它能以和量子算法相近的速度解决推荐问题。这一思路给了研究者以启示：通过量子算法思维能促进经典算法的发展，这也是量子计算研究意义的另一种体现。尽管目前来说，量子机器学习既没有像去年谷歌所宣称的“量子霸权”那样引人瞩目，也不能像人工智能在现实生活的广泛应用而成绩显著。但量子机器学习更像是一个面向未来世界的计算产物。回到几十年前，量子计算的实现和机器学习的神经网络的实现，都一度被认为是不可能的事情。而这二者竟然都能够实现，现在还处在了相互结合的交汇点上，已然是人类技术的一次奇遇。

Что такое MIP* = RE, и что это значит для будущего квантовых вычислений? Чем адиабатические системы отличаются от систем, построенных на гейтах? Почему для создания квантовых компьютеров очень нужны холодильники? И что значит, что мы все живём в эру NISQ?Сегодня мы говорим про квантовые вычисления с несколькими учёными.Иван Михайлин — занимается вычислительной сложностью в Универстете Калифорнии в Сан-Диего.Василий Севрюк создаёт квантовые компьютеры в стартапе IQM.Алексей Фёдоров руководит группой квантовых информационных технологий в Российском Квантовом Центре.Не забывайте проветривать мозг и квартиру!Подпишись в Телеграм на канал @progulkaApplePodcasts; GooglePodcasts; Spotify; Я.музыкаСтань патрономАвтор рубрики Just one more thing Ксения ДруговейкоSupport the show (https://www.patreon.com/progulka)

NISQ: “noisy intermediate-scale quantum.” 时代“量子霸权”一词发明者，加州理工大学教授：John Presill喜马拉雅：https://www.ximalaya.com/keji/6310606/wx关注：dalaoli_shuxueB站: https://space.bilibili.com/423722633 知乎：https://zhuanlan.zhihu.com/dalaoli-shuxue/电邮：dalaoliliaoshuxue@gmail.com

NISQ: “noisy intermediate-scale quantum.” 时代“量子霸权”一词发明者，加州理工大学教授：John Presill喜马拉雅：https://www.ximalaya.com/keji/6310606/wx关注：dalaoli_shuxueB站: https://space.bilibili.com/423722633 知乎：https://zhuanlan.zhihu.com/dalaoli-shuxue/电邮：dalaoliliaoshuxue@gmail.com

NISQ: “noisy intermediate-scale quantum.” 时代“量子霸权”一词发明者，加州理工大学教授：John Presill喜马拉雅：https://www.ximalaya.com/keji/6310606/wx关注：dalaoli_shuxueB站: https://space.bilibili.com/423722633 知乎：https://zhuanlan.zhihu.com/dalaoli-shuxue/电邮：dalaoliliaoshuxue@gmail.com

NISQ: “noisy intermediate-scale quantum.” 时代“量子霸权”一词发明者，加州理工大学教授：John Presill喜马拉雅：https://www.ximalaya.com/keji/6310606/wx关注：dalaoli_shuxueB站: https://space.bilibili.com/423722633 知乎：https://zhuanlan.zhihu.com/dalaoli-shuxue/电邮：dalaoliliaoshuxue@gmail.com