Podcasts about Quantum computing

Sam Lyman is the head of research at the Bitcoin Policy Institute and formerly was a senior advisor and speechwriter for Treasury Secretary Bessent. In Sam's first appearance on the show, he discusses Secretary Bessent's secret skill, the competition in the digital payments space between the US and China, why the strategic Bitcoin reserve is important, what the future of Bitcoin holds, where things stand with the CLARITY Act, the Q Day conundrum, whether Satoshi Yakamoto is alive or dead, where Sam thinks the anti-AI sentiment is coming from, and much more. Watch the full length video on our new YouTube Channel! Check out the transcript for this week's episode, now with links. Recorded on May 21st, 2026 Subscribe to David's Substack: Macroeconomic Policy Nexus Follow David on X: @DavidBeckworth Follow Sam on X: @SamLyman33 Follow the show on X: @Macro_Musings Check out our Macro Musings merch! Timestamps 00:00:00 - Intro 00:00:49 - Sam's Career 00:05:37 - Nation-States and Digital Payments 00:14:40 - Strategic Bitcoin Reserve 00:18:29 - Future of Bitcoin 00:24:27 - Bitcoin vs. Dollar-Based Stablecoins 00:38:32 - Update on the CLARITY Act 00:44:48 - Quantum Computing 00:49:34 - Satoshi Yakamoto 00:52:20 - Foreign Campaign Against AI 00:57:44 - Outro

The rise of Quantum Computing (QC) is increasingly deployed as a fatal threat to bitcoin.  Is this accurate?  And also... what exactly is QC, and what exactly is quantum about it?Join the Gwartney Institute for a discussion that begins with cryptocurrency, glances at issues in the foundational debates of 20th century physics, and bumps into a lot else along the way!

Ben Castanon became Unitary Foundation's first CEO in February 2026, after roughly four years with the organization as Chief of Staff and then COO. He came into quantum from an unusual direction — leadership roles at Pioneer Works, the Brooklyn arts-and-science center — and that background shows in how he thinks about scaffolding communities, funding public goods, and borrowing what works from other fields.This conversation matters now because Unitary Foundation sits at an inflection point. It has scaled from a microgrant program (the "Unitary Fund") into a foundation with a global developer community, corporate members including NVIDIA and IBM, an active compiler collection, a benchmarking initiative, and an annual open-source survey that increasingly serves as the field's ground truth. If you care about how quantum computing actually gets built — not just who wins the hardware race — this episode lays out the infrastructure argument clearly.What You'll LearnWhy Ben argues quantum open source falls into a structural funding gap between academia (chasing novel papers) and venture capital (chasing profitable businesses), and what philanthropy has to do about itWhat "public goods" and "digital commons" actually look like in quantum — from benchmarking to compilation to error mitigation toolingHow to interpret the 2025 QOSS Survey finding that ~40% of full-time quantum OSS contributors are unpaid, and why Ben sees it as both an opportunity and a warningHow Unitary Foundation is experimenting with continuous compensation for contributors via bounty programs and pilots with Merit SystemsWhy corporate members like NVIDIA and IBM invest in a vendor-neutral nonprofit — and how governance keeps the "open" in open sourceWhat a healthy pipeline from first-time contributor to sustained open-source maintainer would look like, and why Ben wants an endowment behind itWhy Ben resists top-down definitions of the "open substrate" and prefers to let the community surface bottlenecksThe long-term vision: a "Linux moment" for quantum, and what it would take to install it before proprietary stacks lock inResources & LinksGuest & OrganizationAnnouncing Our New CEO — Unitary Foundation — The February 2026 announcement of Ben as UF's first CEO, with the full arc from Chief of Staff to COO to CEO.Ben Castanon on LinkedIn — Ben's professional history, including his Pioneer Works tenure and current UF work.Unitary Foundation — The organization's homepage and hub for grants, tools, membership, and community.Papers & Reports2025 Quantum Open Source Software Survey Results — The fourth annual QOSS survey, including the finding that ~40% of full-time contributors are unpaid.The Young and the Relentless — The Quantum Insider — Independent coverage of the QOSS survey's demographic findings.Celebrating Over 100 Microgrants — Impact report: 420+ citing papers, 3 startups, 1 nonprofit, and 400+ OSS contributors funded.Tools & ProgramsUnitary Compiler Collection (UCC) — The frontend-agnostic quantum compiler collection Ben references as a candidate for the open substrate.UCC on GitHub — The active repo, supporting Qiskit, Cirq, PyTKET, and OpenQASM 2/3.unitaryHACK 2026 — The sixth annual bug-bounty hackathon, one of UF's core mechanisms for compensating open-source contributors.EcosystemNVIDIA Joins Unitary Foundation as Core Member — The May 2026 announcement referenced in the conversation.Announcing Unitary Foundation (Rebrand) — Context on why "Unitary Fund" became "Unitary Foundation."Key Quotes & InsightsOn the structural gap: There are "third spaces" where projects don't fit the incentives of either a startup or an academic lab — but where the whole ecosystem benefits. Benchmarking is the clearest example.On unpaid contributors: "We've developed the field to a place where we're starting to hit up against the classic open source community issues." The volunteer surge is real — but so is the risk of losing those contributors to better-paying fields if UF can't convert enthusiasm into compensation.On why big companies join: A functional field needs people to hire. Ben's argument to corporate members is partly workforce development — thousands of developers getting on-the-job training on neutral, community-owned tools.On the substrate: Ben resists top-down definitions of what belongs in the open substrate. "It's much better to have all of the practitioners giving voice to what open tools they need."On his long-term ambition: Build a philanthropic endowment that funds the microgrant pipeline in perpetuity — because "I don't see that as ever becoming a resource that is not of use."Related EpisodesQuantum Open Source with Will Zeng and Ziyaad Bhorat — The direct companion to this episode, unpacking the white paper co-authored with Ben on why quantum OSS is structurally underfunded.Quantum Error Mitigation using Mitiq with Misty Wahl — A deeper look at Mitiq, one of UF's flagship open-source tools.Quantum Education and Community Building with Olivia Lanes — A parallel view on developer community and workforce development in quantum.Careers in Quantum with Anastasia Marchenkova — Relevant context on where quantum developers actually end up.Stay in the EcosystemSubscribe to The New Quantum Era on Apple Podcasts, Spotify, YouTube, or Amazon Music.Sign up for the newsletter at newquantumera.com for episode notes, essays, and follow-ups.Follow along on LinkedIn and Bluesky.If you're building open-source quantum tools — or want to support the people who are — start at unitary.foundation....

Scientific Sense ® by Gill Eapen: Prof. Scott Aaronson is professor of Computer Sciences at the University of Texas, Austin. His research interests include the capabilities and limits of quantum computers and Computational complexity theory Please subscribe to this channel:https://www.youtube.com/c/ScientificSense?sub_confirmation=1

We review some top Income ideas, the Quantum Computing space, and the recent pullback in Semiconductors.  We also review the new Trump Accounts for minors and tell you how they work and how to get started.

In un mondo dove i formati di scrittura sono molteplici e ciascuno pensato per obiettivi specifici, ce n'è uno che, negli ultimi anni, ha guadagnato una popolarità inaspettata: il Markdown. Non è il più potente, non è il più completo, eppure è diventato il linguaggio prediletto dall'intelligenza artificiale. Ma perché proprio il Markdown? E come si è evoluto dall'idea di un blogger nel 2004 a diventare lo standard attraverso il quale le macchine comunicano con noi? In questa puntata esploriamo la storia dei linguaggi di markup, dalle radici dell'HTML ai sofisticati LaTeX e AsciiDoc, per capire cosa rende il Markdown così speciale e se continuerà a dominare nel futuro, oppure verrà soppiantato da nuovi contendenti.Nella sezione delle notizie parliamo di come l'IA e il quantum computing stiano rivoluzionando la scoperta di nuovi peptidi, del nuovo limitatore di velocità europeo e infine del successo della Cina con il primo recupero di un razzo riutilizzabile.--Indice--00:00 - Introduzione01:03 - IA e quantum per creare peptidi più efficaci (Wired.com, Luca Martinelli)02:33 - Il nuovo limitatore di velocità europeo (HDMotori.it, Davide Fasoli)03:33 - Anche la Cina ha il suo razzo riutilizzabile (DDay.it, Matteo Gallo)04:48 - Perché l'intelligenza artificiale scrive in Markdown? (Luca Martinelli)19:38 - Conclusione--Testo--Leggi la trascrizione: https://www.dentrolatecnologia.it/S8E29#testo--Contatti--• www.dentrolatecnologia.it• Instagram (@dentrolatecnologia)• Telegram (@dentrolatecnologia)• YouTube (@dentrolatecnologia)• redazione@dentrolatecnologia.it--Brani--• Ecstasy by Rabbit Theft• Baby by Sam Day

Over the course of the past decade, quantum computing (or the concept thereof) has ridden hype cycles, just like AI or the internet writ large.  In the past year, however, as governments across the globe have committed north of $50 billion to the sector, and billions more have poured into quantum startups, the technology is finding itself in the midst of a particularly dramatic hype wave.  Yet even as the money pours in, quantum remains a nascent technology that hasn't seen any use in the real world. Among other applications, it offers enormous potential to revolutionize material discovery and molecular design, and to turbo charge clean energy tech. But how close we are to actually moving from isolated chips in a lab to bringing these real-world commercial applications to life remains a bit of a mystery. In this episode, Shayle speaks to Bob Sorensen, chief analyst for quantum computing at Hyperion Research. They dig past the VC hype to map out the current state of quantum hardware, look at the timeline for fault-tolerant computing, and evaluate where the true performance gains lie. Shayle and Bob discuss: - Why recent claims of "quantum advantage" are often based on artificial constructs without much real-world relevance - The difference between physical and logical qubits, and why reducing the "noise" is a defining hurdle for the hardware industry - How data-driven AI models and science-driven quantum architectures complement each other differently in materials discovery - Why 85 independent hardware vendors are far too many for the current ecosystem, and how market consolidation might impact investor confidence Resources - Catalyst: Quantum computing could be a critical climate solution - Catalyst: Can AI revolutionize materials discovery? - Latitude Media: Can quantum computing help solve the load growth problem? Credits: Hosted by Shayle Kann. Produced and edited by Max Savage Levenson. Original music and engineering by Sean Marquand. Stephen Lacey is our executive editor. This episode of Catalyst is brought to you by ENGIE, the smarter energy supplier. ENGIE doesn't just provide the power to run your business — they supply the energy to move it forward, with reliable, flexible solutions built for what's next. Learn more at engieresources.com. Catalyst is brought to you by EnergyHub. Peak season puts every grid to the test — and the utilities that pass are the ones that built flexible capacity before they needed it. EnergyHub works with more than 170 utilities to coordinate 2.5 million devices and 3.4 gigawatts of dispatchable flexibility through a single platform designed to perform when it counts most. See what that looks like at EnergyHub.com.  Catalyst is brought to you by Bloom Energy. Bloom Energy fuel cells deliver affordable, ultra-reliable onsite power for hospitals, utilities, and data centers – at speed and at scale. Learn more by visiting BloomEnergy.com.

Quantum materials discovery shows how quantum computing can create real value in industry by working alongside AI, advanced computing, and experiments to better understand materials, improve decision-making, and accelerate innovation at scale, ultimately helping deliver practical, measurable progress for the energy transition.This week, Dave, Esmee, and Rob are joined by co-host and quantum expert Phalgun Lolur, together with Jonathan Owens, Senior Scientist in Computational Materials Physics at GE Vernova to explore how quantum computing could reshape materials discovery and why that matters for the future of energy.  TLDR00:00 – Introduction01:50 – Hang out: The wet-bulb thermometer03:20 – Dig in: Technology Convergence and the Link to Quantum11:30 – Conversation with Jonathan Owens44:26 – Exciting to see how the quantum landscape matures and the magic wand for magnetismGuestJonathan Owens: https://www.linkedin.com/in/jonathan-r-owens-phd/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/Co-host Phalgun Lolur:  https://www.linkedin.com/in/phalgun-lolur/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

In this episode of UC Today, host Kristian McCann is joined by Chris Harris, EMEA Technical Director for Data and Application Security at Thales to discuss why enterprises need to begin preparing for the quantum era now. The discussion goes beyond the hype surrounding quantum computing to explain the very real challenges.If you're responsible for cybersecurity, IT infrastructure, compliance, risk management, digital transformation, or technology strategy, this conversation offers practical guidance on where to start, and why waiting could prove far more expensive than preparing.Key discussion points include:

Canada produces world-leading science, engineering, and AI research. So why does so much of that research still commercialize outside of Canada?In this episode of TechSurge, host Nic Brathwaite puts that question to four leaders at two of Canada's top research universities: Mary Wells (Dean of Engineering) and Chris Houser (Dean of Science) at the University of Waterloo, and Heather Sheardown (Dean of Engineering) and Gianni Parise (VP Research) at McMaster.At Waterloo, Mary Wells traces how the university's origin produced one of the world's most influential co-op programs and a creator-owned IP policy that lets inventors keep their ideas, making the school a talent engine for global tech. The group digs into Canada's AI paradox, foundational research and talent but far less of the economic value, and what quantum, robotics, and advanced manufacturing show about getting research to market.McMaster runs a different model, built on health sciences, nuclear research, and problem-based learning. Heather Sheardown explains the McMaster Method and why it matters in an AI-shaped future. Gianni Parise argues for commercialization as a core university function, with work spanning AI-assisted drug discovery, inhaled vaccines, critical-mineral-free motors, and a campus nuclear reactor that supplies much of the world's iodine-125 for prostate cancer treatment. They also unpack Fusion Pharmaceuticals, the McMaster spin-out acquired by AstraZeneca, and what it reveals about university commercialization.Together, these conversations ask what universities must become in an era defined by AI, deep tech, national competitiveness, and the urgent need to move ideas from the lab into the world.Sign up for our newsletter at techsurgepodcast.com for updates on upcoming TechSurge Live Summits and future episodes.Speaker Profiles and LinksMary Wells - University of Waterloo Profile: https://uwaterloo.ca/engineering/about/dean-engineerinChris Houser - University of Waterloo profile: https://uwaterloo.ca/earth-environmental-sciences/profile/chouserHeather Sheardown - McMaster Engineering profile: https://www.eng.mcmaster.ca/chemeng/faculty/dr-heather-sheardown/Gianni Parise - McMaster Experts Profile: https://experts.mcmaster.ca/people/parisegChapters: 0:00 Highlights0:56 Welcome 2:39 Waterloo's origin story 4:51 Creator-owned IP and the Waterloo model 7:42 The Co-op Flywheel 8:56 Canada's AI paradox: world-class research, slower domestic value capture 10:21 AI, Regulation, Trust, and Canadian Competitiveness 17:09 Rethinking the PhD for Commercialisation 21:43 Inside Waterloo's labs 30:14 What Waterloo wants to be in ten years: builders of the country 32:39 Meet McMaster: health sciences, nuclear capability, and research intensity 34:12 The McMaster Method 35:11 Research, Health, and Commercialisation 40:45 McMaster Labs: Heat, Motors and Health Innovation 47:13 Bioinnovation, Nuclear Research and Fusion Pharmaceuticals 58:43 The university of 2035: less lecture, deeper societal impact References Mentioned and Further ReadingUniversity of Waterloo Policy 73 - Intellectual Property Rights: https://uwaterloo.ca/secretariat/policies-procedures-guidelines/policies/policy-73-intellectual-property-rightsUniversity of Waterloo - Our IP policy: https://uwaterloo.ca/entrepreneurship/our-ip-policyUniversity of Waterloo Co-op programs: https://uwaterloo.ca/future-students/co-opUniversity of Waterloo - Academy of Research Commercialization: https://uwaterloo.ca/conrad-school-entrepreneurship-business/graduate-students/academy-research-commercialization-arcOpen Quantum Design: https://openquantumdesign.org/Institute for Quantum Computing, University of Waterloo: https://uwaterloo.ca/institute-for-quantum-computing/CIFAR - Pan-Canadian Artificial Intelligence Strategy: https://cifar.ca/ai/Government of Canada / ISED - Pan-Canadian Artificial Intelligence Strategy: https://ised-isde.canada.ca/site/ised/en/pan-canadian-artificial-intelligence-strategyStatistics Canada - Understanding Canada's innovation paradox: https://www150.statcan.gc.ca/n1/pub/36-28-0001/2024007/article/00002-eng.htmCouncil of Canadian Academies - Innovation and Business Strategy: Why Canada Falls Short: https://cca-reports.ca/wp-content/uploads/2018/10/2009-06-11-innovation-report-1.pdfKPMG / University of Melbourne - Trust, attitudes and use of artificial intelligence: https://assets.kpmg.com/content/dam/kpmg/ca/pdf/2025/07/trust-in-ai-en-report.pdfMcMaster - Our approach to teaching and learning / Problem-Based Learning: https://provost.mcmaster.ca/teaching-learning/our-approach/McMaster - Evidence-based medicine: https://fhshrwelcome.mcmaster.ca/did_you_know/evidence-based-medicine/McMaster Nuclear Reactor - Medical Isotopes: https://nuclear.mcmaster.ca/medical-isotopes/McMaster Industry Liaison Office - IP and commercialization FAQ: https://research.mcmaster.ca/mcmaster-industry-liaison-office-milo/ip-education/intellectual-property-guides/faqs/McMaster - AstraZeneca to acquire McMaster-supported Fusion Pharmaceuticals: https://news.mcmaster.ca/astrazeneca-to-acquire-mcmaster-supported-fusion-pharmaceuticals/Fusion Pharmaceuticals - FACIT investment and CPDC spin-out background: https://fusionpharma.com/facit-announces-investment-in-fusion-pharmaceuticals-and-alpha-emitting-radiotherapeutics/PubMed - Evidence-based medicine and problem-based learning at McMaster: https://pubmed.ncbi.nlm.nih.gov/31617018/ScienceDirect - Fifty Years on: The first problem-based learning programme at McMaster:

How do you get entangled particles? Neil deGrasse Tyson and comic co-host Chuck Nice unpack the experimental side of entanglement, superposition, and the quantum underpinnings of our universe with experimental physicist, Sean Hodgman. NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here:  https://startalkmedia.com/show/getting-entangled-with-sean-hodgman/ Thanks to our Patrons Dominic B., Chirag Trasikar, Chase Dishman, Benjamin Rogers, Anthony Smith, Matt J, Bill Fisher, Gregory Shaw, Jesse Phelps, Shakil Chagani, Valentine, Sayrah rana, Linda Corbin, Kerry Gallagher, Emma Korein, Kate, Sara Drollinger, brad hodge, William Colt, Jill Campbell, Sai Dev Mahajan, Damien Hewlett, Ryan Christensen, Matthew Barrett, Pau Ferrer, Navindra Persaud, Felipe Marcondes, Deatric Wilson, Ashish Paka, Larry, BRUNO, Adán Rodríguez, Eneida Paulo, Todd P., Francesco Chionchio, Crouton, Anton Bursch, odamai, Brayden Malley, John Hamm, Tim Timrawi, Kuang kai Peter Tou, Adam Fry, Raylen, Pele_Glendale, Balázs Pető, Sergiu Calin, Shane King, Torstein Sundnes, Deonne, Mark Bailey, Rodrigo Gómez, Bri, Richard Riley, James Gray, adam, Kyl Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The rules were never designed to make everyone equally powerful.In this episode of High Level Conversations, 19Keys sits down with Dr. Boyce Watkins for an unfiltered discussion about economics, ownership, education, artificial intelligence, politics, family infrastructure, Black business, and the systems required to create real freedom.The conversation begins with a critical question: What matters more in the age of AI—credentials, experience, mastery, or the ability to build your own system?From there, they break down the difference between earning money and controlling an economy, why community leaders must have sustainable business models, what it truly means to be pro-Black, and why Black wealth cannot grow without intentional investment, mentorship, protection networks, family offices, and institution-building.They also examine:Why criticism and cancellation are unavoidable when your work has real impact.Why Black men remain one of the most under-mentored groups in America.How billionaires, celebrities, and athletes should think about community responsibility.Why investing in Black businesses is more powerful than treating the community like a charity case.Whether artificial intelligence and technology stocks are experiencing a bubble.How to invest during economic uncertainty without gambling on hype.Why systems create powerful individuals—not the other way around.How families can build banks, investment structures, and generational leverage.Donald Trump, the MAGA movement, political independence, reparations, and voting power.Why economic strength requires strategy, negotiation, coordination, and the willingness to think much bigger.This conversation challenges the idea that freedom will come from being accepted by existing institutions. It presents another pathway: understand the system, study how power operates, build your own infrastructure, and position the next generation to thrive instead of merely survive.WHY YOU SHOULD WATCHThis episode is for entrepreneurs, investors, parents, educators, community builders, creators, and leaders who want to understand the deeper relationship between money and power.You will learn:The difference between income, ownership, influence, and economic control.How to protect your mission from criticism, censorship, and outside interference.Why mentorship and sponsorship can change the trajectory of Black men.How family offices and family banks preserve wealth across generations.How to approach AI, technology, stocks, and long-term investing intelligently.Why political power must be negotiated before support is given.How communities can transform influence into infrastructure and economic force.BUILD YOUR NETWORK, COMMUNITY, AND DIGITAL ECONOMYVisit ZIION.IOFREE AI AND INCOME WEBINARFor access to the free webinar from 19Keys about artificial intelligence and using AI to create income, join the free webinar inside the Black Business School by visiting:19keys.com/bbsEPISODE TIMESTAMPS00:00 — Economics Is Warfare02:00 — Credentials, Artificial Intelligence and the Meaning of Mastery10:00 — Turning Your Greatest Weakness Into a Strength15:00 — Truth, Activism and the Cost of Going Against the Grain18:00 — Can Black America Still Build Economic Sovereignty?25:00 — Understanding Power, Criticism and Opposition28:00 — Separating Constructive Criticism From Distraction32:00 — “You Can't Cancel a Soldier”36:00 — Why Community Empowerment Needs a Sustainable Business Model40:00 — What Does Being Pro-Black Actually Mean?42:00 — Health, Wealth and Relationships52:00 — Systemic Racism and Systems Thinking54:00 — Manufacturing Black Privilege Through Ownership56:00 — Why Black Men Are Severely Under-Mentored01:00:00 — Building Mentorship, Sponsorship and Protection Networks01:07:00 — Black Unity, Michael Jordan and Intentional Employment01:08:00 — Do Black Billionaires Owe the Community?01:14:00 — Family Offices and Who Controls Black Wealth01:17:00 — Investment Versus Charity01:22:00 — Investing in Black AI, Technology and Venture Capital01:23:00 — Stop Thinking Small: Building Billion-Dollar Ideas01:27:00 — Creating Independent Media and Economic Systems01:29:00 — Why Real Power Moves Strategically01:31:00 — Economics Is Warfare: Prepare to Be Attacked01:32:00 — Building Outside the Matrix With ZIION01:39:00 — The Hidden History of Black Coalitions and Nation-Building01:43:00 — Is Artificial Intelligence an Economic Bubble?01:46:00 — How to Invest During Market Uncertainty01:49:00 — Elon Musk, Key-Man Risk and Technology Empires01:51:00 — Powerful Individuals Are Products of Powerful Systems01:54:00 — Quantum Computing and Undervalued Future Technologies01:59:00 — What Could the Next 10 to 20 Years Look Like?02:04:00 — Healthcare, Capitalism and the Incentive to Manage Disease02:09:00 — Money, Ethics and Financial Consciousness02:14:00 — Family Banks, Infrastructure and Generational Capital02:18:00 — Why Schools Teach Employment Instead of Ownership02:20:00 — Turning Your Family Name Into an Institution02:23:00 — Self-Worth, Asset Value and Building Your Own Name02:25:00 — The MAGA Question02:28:00 — Studying Power Without Worshipping Powerful People02:30:00 — How to Give Your Children a Financial Head Start02:37:00 — Stop Depending on Systems That Were Not Built for You02:43:00 — Power, Competition and Self-Preservation02:45:00 — Reparations, Negotiation and Leverage02:48:00 — Putting the Black Vote in Escrow02:50:00 — The New Political Classes02:55:00 — Leaders, Impact and Building Economic Infrastructure02:57:00 — Final Words and Closinghttps://youtu.be/_RBftcP3Gng Support this podcast at — https://redcircle.com/19keys/exclusive-contentAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Johannes Galatsanos occupies an unusual dual perch in the quantum ecosystem. As a co-author of the inaugural MIT Quantum Index Report, he's helped map the entire quantum landscape at altitude; as co-founder and CEO of Diffraqtion, he's staked his career on one of its most under-discussed corners: quantum imaging. The company spun out of Saikat Guha's lab at the University of Maryland after more than a decade of DARPA-funded research, emerged from stealth in January 2026 with $4.2M in pre-seed funding, and is now racing toward on-sky telescope demonstrations and a 2028 satellite launch.This episode is for listeners who want a technically honest look at where the "quantum" label is doing real work in a sensor versus where it's shading into sophisticated photonics and analog computing. If you care about how quantum technologies actually reach the world — through markets, contracts, and hardware that ships — this conversation gives you a specific, concrete example to think with.What You'll LearnWhy a conventional camera can lose roughly 95% of the information a photon carries, and what quantum Fisher information theory says about recovering itHow Diffraqtion's device processes light directly in the photonic domain before converting it to electronic information — and why that matters for shot noiseThe honest answer to "is this really quantum?" — including where the technology sits between quantum information theory, photonics, and analog computingWhy a 6U CubeSat with a 10-centimeter aperture can plausibly compete with school-bus-sized observation satellites for specific tasksHow a "diffractive neural network" runs image classification at the speed of light with negligible power consumptionThe difference between Diffraqtion's hard-coded Gen 1 camera and the reprogrammable Gen 2 that can swap algorithms in orbit (canopy detection over the Amazon, ship detection over the Atlantic)Why the Habitable Worlds Observatory needs a coronagraph capability — and how you can build one by processing light rather than blocking itWhat quantum sensing needs from policy, capital, and PR to escape the shadow of quantum computingResources & LinksGuest & CompanyDiffraqtion — Company homepage; describes the technology, NASA/DARPA lineage, and the "quantum eye" framing referenced in the conversation.Johannes Galatsanos on LinkedIn — Recent activity including SmallSat Europe, the NASA Space to Soil Challenge, and GQIG Summit talks on quantum imaging.Papers & ReportsQuantum Index Report 2025 (arXiv) — The preprint of the MIT QIR, co-authored by Galatsanos. Essential reading for anyone trying to see the quantum landscape as a whole.MIT Sloan — New MIT Report Captures State of Quantum Computing — Background on the QIR and Galatsanos's research role at the MIT Initiative on the Digital Economy.MIT Sloan — Quantum Report Charts Growing Business Interest — Further QIR findings on the growth in corporate quantum mentions.Press & CoverageDiffraqtion Pre-Seed Announcement (PR Newswire) — Official release covering the $4.2M raise, DARPA contract, and founding team.Breaking Defense — DARPA Backs Diffraqtion — The most in-depth interview on the DARPA SBIR contract and programmable light plates.The Quantum Insider — Diffraqtion $4.2M Raise — Investor context including quotes from Chad Rigetti; technical claims on resolution and processing.Payload Space — Diffraqtion Emerges from Stealth — Commercial framing around the 6U CubeSat cost model.Defense One — Quantum Cameras Could Remake Space-Based Intelligence — Policy and defense framing.SponsorCisco Universal Quantum Switch — Outshift by Cisco — Cisco's incubation engine, building a scalable quantum network on open standards and vendor-agnostic architecture.Key Quotes & InsightsOn quantum information loss: "When you do a direct image… you lose something like 95% of information from that photon. So you leave 95% on the table, and the question was: how do you extract that back?"On what "quantum" really means here: Galatsanos is refreshingly candid — the device uses quantum Fisher information theory to set the physical limit and configure the hardware, but the runtime processing is closer to analog photonic computing than to gate-based quantum computing. He describes it as sitting between "quantum 1.0" and quantum sensing.On the frog's-eye analogy: Retinal ganglion cells can process shapes and trajectories faster than the brain — which is why you can catch a baseball or a falling fork before you consciously see it. Diffraqtion is trying to give satellites and robots the same kind of reflex.On the JPEG as a historical artifact: "JPEG was a little bit of a logical step… but now the thought is, forget about it — you don't even need that. The light itself already will tell you." The machine, unlike a human operator, doesn't need an image.On why quantum sensing lags in the discourse: Insight — quantum computing benefits from a single unifying narrative that every vendor can pull on. Quantum sensing has to invent its own story from scratch for each modality, which is a structural PR disadvantage more than a technical one.Related EpisodesEp. 65 — Quantum sensitivity breakthrough with Eli Levenson-Falk — On protocols that push measurements beyond conventional limits; a natural companion to the Fisher information discussion.Ep. 16 — Operating at the Quantum Limit with Dr. Dana Anderson — Infleqtion's CSO on quantum sensing alongside computing; useful context for why sensing is closer to deployment.Ep. 68 — Incubating quantum innovation with Vijoy Pandey of Outshift by Cisco — On quantum networks solving real problems today; a parallel to Diffraqtion's near-term deployment argument.Ep. 63 — A Programming Language for Quantum Simulations with Xiaodi Wu — Also from the University of...

America Out Loud PULSE with Dr. Randall Bock – Quantum computing pioneer Scott Aaronson explains how quantum mechanics reshapes probability, powers new algorithms, and challenges classical machines. He examines error correction, Shor's algorithm, AI alignment, scientific simulation, and the difficult engineering behind technologies that may transform cryptography, chemistry, medicine, and discovery in coming decades...

America Out Loud PULSE with Dr. Randall Bock – Quantum computing pioneer Scott Aaronson explains how quantum mechanics reshapes probability, powers new algorithms, and challenges classical machines. He examines error correction, Shor's algorithm, AI alignment, scientific simulation, and the difficult engineering behind technologies that may transform cryptography, chemistry, medicine, and discovery in coming decades...

Quantum computing hype is everywhere. Trump says we'll have one by 2028, Microsoft by 2029. IBM is investing billions. Is it really happening? Science journalist Sophia Chen joins us to discuss her article, "What is a quantum computer good for? Absolutely nothing — yet," and break down what's real and what's hype in the quantum computing race. Further reading ⁠Meta is reportedly working on smart glasses that would be recording all the time⁠ ⁠Sonos laid off some of its veteran product and design executives⁠ ⁠Cash App fraud⁠ ⁠Starlink deployments on record pace⁠ ⁠Play-Doh for adults is the new Lego for adults⁠ ⁠Slate is hoping a little Razzmatazz will help sell its trucks⁠ ⁠What is a quantum computer good for? Absolutely nothing — yet⁠ ⁠A new paper argues Microsoft exaggerated its quantum claims a year ago⁠ ⁠Drama over quantum computing's future heats up⁠ ⁠The race is on for quantum-safe cryptography⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Is quantum technology purely a science of the future, or can it solve major enterprise problems today? In this episode, Pouya Dianat, Chief Revenue Officer of Quantum Computing Inc. (QCi), joins host Konstantinos Karagiannis to discuss how his company is moving past the lab stage to deliver real business value right now. Dianat breaks down QCi's unique hardware approach using nonlinear photonics and thin-film lithium niobate, explaining why the company has focused on application-specific, analog quantum optimization machines rather than waiting for universal gate-based systems to mature in the 2030s.   The conversation dives deep into QCi's latest breakthrough algorithm, CVQBoost, which leverages the physics of their Dirac 3 system to revolutionize financial fraud detection. Operating literally at the speed of light, this room-temperature, rack-mountable quantum computer eliminates classical processing bottlenecks and effortlessly bypasses the training limitations that plague traditional GPUs. Dianat also shares insights into how recent federal executive orders on quantum technology are impacting the sales landscape, QCi's cutting-edge quantum authentication solutions for network security, and his strategic vision for driving immediate commercial revenues while advancing a long-term quantum roadmap.     For more information on Quantum Computing Inc., visit https://quantumcomputinginc.com/. 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             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.  

Suggest Guests For Our Podcast: https://forms.gle/ytt6a9jxe8YwzsGD6 Dr. Sitaram Byahut, Physicist and Professor of Physics, joins us for an in-depth conversation exploring some of the most fascinating concepts in modern science. From Quantum Entanglement and Quantum Mechanics to the EPR Paradox, this episode simplifies complex ideas for beginners while offering deeper insights for science enthusiasts. We discuss why Quantum Mechanics was developed, how the EPR Paradox was experimentally proven, why Albert Einstein disagreed with Quantum Entanglement, and how one particle can appear to instantly affect another across vast distances. The conversation also explores the philosophy behind Quantum Computing, the relationship between quantum states and the multiverse, the possibility of Black Holes being connected to Wormholes, Information Entropy, Consciousness, and the role of the Large Hadron Collider (CERN) in advancing our understanding of the universe. Whether you're curious about Quantum Physics, Quantum Computing, Modern Physics, or simply want to understand the mysteries of our universe, this podcast offers clear explanations and thought-provoking discussions. If you enjoyed this episode, don't forget to Like, Share, Subscribe, and turn on notifications for more conversations with leading scientists, educators, and experts. GET CONNECTED WITH Dr. Sitaram Byahut: Facebook - https://www.facebook.com/sitaram.byahut.3 Facebook - https://www.facebook.com/sbyahut/ LinkedIn - https://www.linkedin.com/in/sitaram-byahut-b94b0024/  

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Jeff Dornik joins Talk Truth with Allan and Corri Hunsperger to warn that quantum computing, AI, transhumanism, Silicon Valley's gnostic revival, China's alleged Uyghur testing, Operation Paperclip, Elon Musk's memory-erasing tech claims on Joe Rogan, and Big Tech's push to replace God all point to a spiritual war hiding behind the shiny little sales brochure of progress.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-jeff-dornik-show--4788100/support.Follow The Jeff Dornik Show on Apple Podcasts and leave a 5-star review. That's how we reach more people and bypass Big Tech suppression.Watch LIVE daily at 7pm ET on Rumble and subscribe so you never miss a show:https://rumble.com/c/jeffdornikBig Tech is silencing truth while harvesting your data to feed the machine. That's why I built Pickax, a free speech platform where creators own their content and your voice isn't controlled. Join now:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

This is our weekly, ad-free compilation of science news.00:00 - Strange Things Are Happening in Quantum Computing6:01 - The Biggest Argument for Dark Matter Just Died12:00 - “The Hum” has been reported all over the globe We might finally know what it is

This is the 100th episode of The New Quantum Era, and it arrives at a moment of convergence: the book is out, the Helgoland centennial documentary is in production, regional quantum ecosystems are scaling from ambition to construction, and the field is entering the transition from heroic-era qubit demos to the hard systems engineering that will determine whether quantum computing becomes a real industry. Bob Karr — who sits at the intersection of law, policy, and the quantum ecosystem as the person behind the Quantum Law Navigator and a convener across the Chicago quantum community — is the right person to conduct this retrospective, and Barnes & Thornburg, at the center of arguably the most sophisticated quantum ecosystem in the world, is the right place to do it.The conversation is structured as a celebration and an examination: what has Sebastian actually learned by sitting with nearly 100 physicists, engineers, founders, and policymakers? How has the field changed since that first visit to TJ Watson in 2017? What do regional hubs like the Illinois Quantum and Microelectronics Park and Quebec's DistriQ tell us about what it takes to move from science to industry? And what does the next era demand — not just from researchers and companies, but from everyone?---What You'll LearnWhy the Helgoland documentary matters: in June 2025, Sebastian and his wife traveled to the island where Heisenberg's 1925 insight gave birth to quantum mechanics, producing a documentary at a Yale–Max Planck centennial conference attended by multiple Nobel laureates — and what that experience distilled about the state of the fieldHow Sebastian's journey into quantum began: arriving at IBM's TJ Watson Research Center in 2017 to help with Qiskit's open source strategy, encountering the 53-qubit milestone, and recognizing the earliest stages of an emerging technology that would become his life's workWhat the "Heroic Age of Qubits" was — and why it ended: the period of genius PIs racing to prove quantum advantage, culminating in Google's 2019 random circuit sampling claim, and why that finish line turned out to be a starting lineWhat Harley Johnson and the IQMP reveal about ecosystem-building: why the Illinois Quantum and Microelectronics Park is the world's leading example of building a quantum ecosystem, and what it takes to bridge deep science and economic developmentWhat Quebec's DistriQ teaches about sustainability: the 90% public / 10% private funding model designed to flip over ten years, and why that benchmark matters for every regional hubWhy Alejandra Castillo's economic development lens changed the picture: how quantum's impact extends far beyond qubits into advanced manufacturing, supply chain, and the communities that get to participate in the upsideWhat Nadya Mason's leadership model means for the field: the dean of UChicago's Pritzker School who wasn't a "math person" and sees leadership as service — and why the field needs every kind of creative mind, not just PhDs in physicsWhat John Martinis's arc from the 1986 Josephson junction paper through the Nobel Prize to CoLab reveals: the transition from heroic-era physicist to systems thinker pursuing open architecture and consortium-based quantum computingWhy the Monte Carlo algorithm is the key analogy for quantum's future: the technique that took 30 years to find its commercial application as a reminder that the most important uses of quantum computers haven't been imagined yetWhere fault tolerance actually stands: why it's an emergent property of the whole system — not a single breakthrough — and why the classical-quantum feedback loop for mid-circuit measurement and syndrome correction is the thing to watchWhy multiple qubit modalities will coexist: the case for neutral atoms in the near term, superconducting and spin qubits in the long term, and photonics as a dark horse — and why this isn't a winner-take-all raceWhat Build Quantum Partners is building: a new venture to reduce friction for quantum companies entering the U.S. market, partner with regional ecosystems, and ultimately develop the quantum equivalent of biotech hub infrastructure---Resources & LinksGuest & Host LinksRobert W. Karr Jr. — Barnes & Thornburg Attorney Profile — Bob's firm bio covering his role as partner and QTI Group co-chairRobert W. Karr Jr. — LinkedIn — Recent activities including the Illinois–UK Quantum Partnerships Mission and Keidanren Next-Gen SalonQuantum Law Navigator — Chicago Quantum Exchange (PDF) — The ten-chapter resource Bob led, mapping the U.S. legal and regulatory landscape for quantumBarnes & Thornburg Quantum Technology Industry Group — The firm's quantum practice, host of the live recordingThe Book & DocumentaryThe New Quantum Era by Sebastian Hassinger — Released May 2026; the companion book tracing the people, science, and engineering behind quantum technology's emergenceHelgoland Documentary — In production; shot over five days at the Yale–Max Planck centennial conference on the island where Heisenberg formulated matrix mechanics in 1925Episodes & Guests ReferencedEpisode 82 — The Illinois Quantum Ecosystem with Harley Johnson — The IQMP's CEO on building the world's largest dedicated quantum technology parkEpisode 79 — Building a Quantum Ecosystem from Scratch with Martin Laforest — How Quebec built a $400M quantum ecosystem with a deliberate public-to-private capital transitionEpisode 75 — Regional Quantum Development with Alejandra Y. Castillo — Quantum through the economic development lens: jobs, supply chains, housing, and community participationEpisode 77 — Quantum Leadership with Nadya Mason — The dean of UChicago's Pritzker School on the human and institutional side of building the quantum eraEpisodes 48, 67, 71 — John Martinis — From Josephson junctions to the Google quantum supremacy experiment to the open-architecture approach at CoLabEpisode 96 — Funding the Quantum Middle with Kris Naudts and Zeynep Koruturk of Firgun Ventures — Why the Series A/B financing gap is the new bottleneck, and how specialist investors are stepping inKey Institutions & EcosystemIllinois Quantum and Microelectronics Park — Wikipedia — Overview of the $9B IQMP, its tenants,...

On Ringside Politics with Jeff Crouere, I explained why the real race is not merely AI, but quantum technology, and why combining quantum computing with artificial intelligence creates a national security nightmare if China gets there first. I also broke down how massive data centers, centralized databases, humanoid robots, Neuralink, and AI-driven bureaucracies are building a future where power is consolidated in the hands of government, Big Tech, and the oligarchs while ordinary Americans are told to enjoy their efficient little digital cage. Because apparently liberty was nice while it lasted.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-jeff-dornik-show--4788100/support.Follow The Jeff Dornik Show on Apple Podcasts and leave a 5-star review. That's how we reach more people and bypass Big Tech suppression.Watch LIVE daily at 7pm ET on Rumble and subscribe so you never miss a show:https://rumble.com/c/jeffdornikBig Tech is silencing truth while harvesting your data to feed the machine. That's why I built Pickax, a free speech platform where creators own their content and your voice isn't controlled. Join now:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

Antoine Legault and Brendan Cavanaugh discuss quantum computing and what's next for it. Antoine says he believes quantum will be implemented within the next few years. Brendan says he expects to see revenue build very quickly. They also talk about the key metrics to monitor for quantum computing.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

We examine the investment case for quantum computing, which is moving from theory to reality. (0:45) - What Exactly Is Quantum Computing? (7:00) - What Industry Will Be Impacted The Most From Quantum Computing? (10:30) - AI vs Quantum Computing (14:20) - Which Tech Giant Will Benefit From Quantum Computing? (18:10) - Where Can You Find Pure Play Investments For Quantum Computing? (25:20) - What Impact Will Government Involvement Have On Quantum Computing? (28:35) - WisdomTree Quantum Computing Fund: WQTM (31:20) - Episode Roundup: IBM, MSFT, GOOGL, NVDA, RGTI, IONQ, QTUM Podcast@Zacks.com

Daniel Faircloth, PhD is an unusual figure in the quantum ecosystem: a computational electromagnetics engineer who actually helped build trapped-ion hardware before pivoting to the software stack the field was missing. He's a co-author on the 2013 New Journal of Physics paper that demonstrated reliable ion transport through a microfabricated X-junction surface-electrode trap at Georgia Tech Research Institute, and he spent the years afterward inside a defense contractor, IERUS Technologies, building the electromagnetic simulation engine that has now spun out as Nullspace.If you've been following the trapped-ion race — Quantinuum, IonQ, Oxford Ionics, AQT, and the academic groups feeding them — this episode fills in a layer of the story that rarely gets airtime. As the field moves from clever physics demonstrations toward genuinely scaled architectures, the design tools, the file formats, and the iteration loops start to matter as much as the qubits themselves. Listeners interested in quantum engineering, the analog of EDA in semiconductors, or how dual-use defense R&D translates into commercial quantum infrastructure will find a lot to chew on.What We Get IntoWhy the standard "gapless approximation" for ion trap modeling — treating electrodes as polygons on an infinite metal sheet — breaks down well before you're ready to fabricate.How Faircloth's graduate-school question ("can better tools turn a good engineer into a super engineer?") became the design philosophy behind Nullspace ES.What turning an X-junction corner actually requires: two-stage optimization across trap geometry and control voltages, so the ion doesn't get heated out of the trap.Why general-purpose electrostatic solvers struggle with ion trap problems that demand nanometer ion-height precision and millivolt-level shuttling voltage accuracy.The technical leap in Nullspace ES 2025 R1: pairing high-order basis functions with a compression solver to cut memory usage roughly 5× while preserving accuracy.The awkward commercial reality of selling neutral simulation infrastructure to companies that are direct competitors with each other.The "build vs. buy" tension for hardware startups deciding whether to roll their own solver in Python or adopt a purpose-built commercial tool.How the dual-use defense / commercial-quantum positioning shapes Nullspace's roadmap — and where lessons flow in both directions.Where the roadmap might lead: multi-physics, tightly integrated workflows that eliminate the CAD-cleanup and file-format-exchange tax engineers pay today.Resources & LinksGuest & CompanyDaniel Faircloth Bio — Nullspace, Inc. — Background on Daniel's path from GTRI and IERUS to co-founding Nullspace.Nullspace, Inc. — Company homepage covering the Nullspace EM and Nullspace ES product suites.Inside Nullspace: Rethinking Electromagnetic Simulation with Dr. Daniel Faircloth — A longer-form interview on why Daniel rebuilt EM simulation from scratch.Product & Technical ResourcesNullspace ES — Electrostatic Simulation for Quantum Computing — Product page detailing the ion-trap-specific capabilities discussed in the episode.Nullspace ES 2025 R1 Tech Brief — The release notes behind the high-order basis functions and 5× memory reduction Daniel describes.Precision Ion Trap Modeling and Simulation for Quantum Applications — Webinar featuring Oxford Ionics' Curtis Volin demonstrating Nullspace ES on a surface-electrode trap.Papers & Background ReadingReliable Transport Through a Microfabricated X-Junction Surface-Electrode Ion Trap (NJP, 2013) — The GTRI paper Daniel co-authored, including the corner-turning ion transport work referenced in the episode.Daniel Faircloth — ResearchGate profile — Additional EM and ion trap publications from Daniel's GTRI/IERUS years.Company & Funding ContextNullspace Raises $2.5M Seed Round (PR Newswire, Aug 2025) — The seed round led by Fathom Fund with Golden Seeds.Nullspace Raises $2.5M — The Quantum Insider — Quantum-sector framing of the dual-use RF/quantum positioning.Nullspace Inc. Launches as an Engineering Software Company (PR Newswire, Jun 2023) — The spin-out announcement and origin story.Key Quotes & InsightsOn the original product question (paraphrase): If you give powerful EM and optimization tools to a well-trained engineer, can you effectively turn them into a "super engineer" and unlock the kind of creativity that textbook parameterizations can't reach? That question became the through-line from Daniel's graduate work to Nullspace.On why existing tools fall short (paraphrase): The community was trying to shoehorn ion trap design into solvers that were never built for it — gapless approximations, weak optimizers, and accuracy levels that simply don't hold up when you need nanometer ion heights and millivolt shuttling voltages.On corner-turning in an X-junction (Daniel, lightly edited): "If you think of an ion trap as a fancy train track system, the ions are being shuttled around — you need to be able to turn left and turn right as you grow and scale. How do you get the ion to turn but not get heated in that process and lose the ion?"On serving competing customers (paraphrase): A rising tide floats all boats. The better the underlying simulation tools, the more sophisticated the architectures every team can attempt — and the more chances the field has of someone breaking through.On the long-term vision (Daniel): "Being able to provide all of that in an appropriate fidelity, one-stop shop for the designers. I don't want them to have to go to a bunch of different tools and try to kind of piece together dealing with file format exchange issues."Related EpisodesEpisode 91 — Hardware-Faithful Digital Twins for Quantum Computing with Izhar Medalsy — A complementary view of simulation infrastructure, focused on superconducting digital twins.Episode 17 — The Enchilada: Microfabricated Ion Trap Qubits with Daniel Stick — The Sandia pers...

On Fine Point with Chanel Rion on OANN, Jeff Dornik explains why China's quantum computing race is not some distant sci-fi subplot for people who alphabetize their server cables, but a direct national security threat already unfolding through stolen encrypted data, “harvest now, decrypt later” attacks, nuclear secrets, banking vulnerabilities, military systems, and President Trump's 2030 deadline to move high-value federal systems into post-quantum security before the bureaucratic sloth brigade gets outpaced by Beijing.Follow OANN on Pickax - https://pickax.com/oannFollow Jeff Dornik on Pickax - https://pickax.com/jeffdornikBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-jeff-dornik-show--4788100/support.Follow The Jeff Dornik Show on Apple Podcasts and leave a 5-star review. That's how we reach more people and bypass Big Tech suppression.Watch LIVE daily at 7pm ET on Rumble and subscribe so you never miss a show:https://rumble.com/c/jeffdornikBig Tech is silencing truth while harvesting your data to feed the machine. That's why I built Pickax, a free speech platform where creators own their content and your voice isn't controlled. Join now:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

Want the New iPhone 18 This September? Be Prepared to Pay More…. A Lot More The iPhone 18 is expected to be released in just a few months, and if current estimates are accurate, consumers could be facing some serious sticker shock. One of the biggest reasons is the ongoing battle for semiconductor components. The rapid buildout of AI data centers has created enormous demand for memory chips, and data center operators are willing to pay almost any price to secure supply. That is creating challenges for companies like Apple, which rely heavily on DRAM (dynamic random-access memory) and NAND flash storage.   According to industry estimates, the cost of 12GB of DRAM used in the iPhone 17 was about $39. For the iPhone 18 Pro, that figure could rise to approximately $145. NAND flash storage costs are also expected to surge. The 256GB of flash storage that cost Apple around $13 in the iPhone 17 is projected to cost roughly $51 in the iPhone 18, an increase of nearly 300%.   Apple may also introduce a redesigned camera system that could cost about 50% more than the cameras used in previous models, adding even more pressure to manufacturing costs.   Apple currently earns an estimated gross margin of roughly 44% on the iPhone 17. If the company attempts to maintain those margins while absorbing these higher component costs, the price of a high-end iPhone 18 could climb to around $1,300 or more.   The big questions are: Will Apple absorb some of these higher costs and accept lower profit margins? Or will consumers decide that the latest upgrade isn't worth the higher price and keep their current phones for another year?   Either scenario could create headwinds for Apple's earnings. Lower margins would hurt profitability, while slower upgrade cycles could reduce unit sales. Both outcomes could put pressure on Apple's stock in the months ahead.   Bad News: The Dollar Is Strong Again Some people may read that headline and think, "What's the problem? Isn't a strong dollar a good thing?" Not necessarily. A strong dollar sounds positive, but the reality is more complicated. The U.S. dollar is now at its strongest level since May 2025. While that may feel good on the surface, a stronger dollar can create challenges for the economy.   When the dollar rises, American products become more expensive for the rest of the world to buy, which can worsen our trade deficit. At the same time, imported goods become cheaper for Americans. Consumers may enjoy lower prices on foreign products, but it also means more money flows overseas instead of supporting domestic businesses.   Over the long term, that can weaken U.S. manufacturing, increase our reliance on imports, and contribute to growing debt levels.   What's driving the dollar higher? Two major factors stand out. First, the new Federal Reserve leadership signaled a more hawkish stance at its most recent meeting. Nine of the 19 officials now expect at least one rate hike before year-end. Higher interest rates generally make the dollar more attractive to global investors. Second, the AI investment boom continues to fuel U.S. economic growth. However, the enormous capital required for AI infrastructure is leading companies to borrow heavily to finance those investments. This increased demand for capital competes with U.S. Treasury bonds for investor dollars, which could keep long-term interest rates elevated or even push them higher.   The AI boom has already increased speculation and risk in the equity market. Now it may also be creating additional risks in the bond market. Wherever you're investing, make sure you understand the relationship between risk and reward before committing your capital   Can Alphabet/Google Take Some of Nvidia's Market Share? Nvidia currently controls roughly 90% of the AI computing chip market. Whenever a company dominates an industry to that extent, it creates an opportunity for competitors to enter with comparable products at lower prices. That's exactly what Alphabet's Google is attempting to do with its artificial intelligence chips.   Google originally developed its custom AI chips for internal use, but it quickly realized there was a much bigger opportunity. With demand for AI infrastructure exploding, Google is now producing more chips and making them available to outside customers.   Nvidia CEO Jensen Huang has repeatedly stated, both publicly and privately, that increased competition will not have a meaningful impact on Nvidia's business. But what else can he say? Competition almost certainly will affect Nvidia to some degree. The company may eventually lose some market share and could be forced to lower chip prices to maintain its dominant position.   Google has significant financial resources to support its AI ambitions. In western New York, for example, Google reportedly provided a $3.2 billion financial guarantee tied to the Lake Marina AI data center project. Nvidia has used similar strategies in the past to strengthen relationships with customers and partners.   This type of financing does concern me. When you provide financing to a company that is also purchasing your products, you take on two risks. If that customer runs into financial trouble, you could lose both future product sales and repayment on the financing arrangement.   I also suspect Nvidia has substantial leverage with many of its customers. Companies may worry that reducing purchases from Nvidia today could limit their access to future chip allocations if demand remains strong.   Google isn't the only company challenging Nvidia. Competitors such as AMD, Broadcom, and newer entrants like Cerebras Systems are all looking for ways to gain a foothold in the rapidly growing AI chip market.   Nvidia stock has delivered incredible returns over the past several years. The question investors should be asking is whether increasing competition and the possibility of future chip oversupply could eventually take some of the shine off Nvidia's valuation.   The Dow's Alphabet Move Is a Sign of Weakness, Not Strength The Dow Jones is once again proving why it has become one of the most outdated and least useful stock market indexes in America.   This week S&P Dow Jones Indices announced that Alphabet will be added to the Dow, replacing Verizon. The financial media is treating it like the Dow is finally modernizing itself for the AI era. I see it differently. This is not leadership. It is not vision. It is not smart index construction. It is the Dow doing what it has done for years: showing up late, after everyone else has already made the money.   The Dow is supposed to represent the most important companies in the American economy. But unlike the S&P 500, it is not rules-based. There is no formula, no discipline, no objective threshold that decides who gets in and who gets kicked out. Instead, a committee at S&P Dow Jones decides when the index should change and which companies “feel right” for the list. That sounds harmless until you realize what it really means: the Dow is not a market index so much as a committee-curated museum exhibit that occasionally swaps out an old display piece for whatever has already become impossible to ignore.   That is exactly what is happening with Alphabet. Google has been one of the most dominant businesses on earth for well over a decade. It has been central to digital advertising, cloud computing, mobile software, and now artificial intelligence. None of that is new. The AI spending boom did not start yesterday. The Magnificent Seven did not suddenly become important last week. These companies have been driving market returns, corporate profits, and capital spending for years. Yet only now does the Dow decide it needs more exposure to big tech? That is not being ahead of the curve. That is a lagging indicator pretending to be a benchmark.   And the timing could not be more ridiculous. Instead of adding these companies before the market fully priced in their dominance, the Dow is adding them after the entire world has piled into the trade. After valuations expanded. After AI enthusiasm exploded. After mega-cap concentration became one of the biggest risks in the market. In other words, the Dow ignored the most important trend in the market for years and is now buying into it once the trade is crowded. The Dow will now hold five of the Magnificent Seven—Alphabet, Microsoft, Apple, Amazon, and Nvidia—which together will account for roughly 18% of the index. This is not modernization. That is panic buying in a suit.   What makes it even more absurd is that the Dow still uses a price-weighted structure, which is one of the silliest relics in finance. A stock's influence in the index is determined by its share price, not by the actual size of the company or its economic importance. Think about how insane that is. In a supposedly elite index of America's biggest companies, weighting is still distorted by something as arbitrary as the sticker price of one share. A stock split can change a company's importance in the Dow more than a change in its business fundamentals. This also leads to more concentration with high priced stocks like Goldman Sachs accounting for roughly 13% of the entire index and Caterpillar making up around 12%. This compares to low priced stocks like Verizon or Nike which each only currently account for about 0.5% of the index.     So now the Dow wants to have it both ways. It wants the credibility of owning AI and mega-cap tech leaders, but it wants to keep the same outdated structure and the same slow-moving committee process that made it miss the trend in the first place. It wants to look relevant without actually fixing what makes it irrelevant. Replacing Verizon with Alphabet may make the Dow look smarter for a headline or two, but it actually exposes the problem. The Dow did not identify the future. It waited until the future was obvious, then stapled it onto an old index and called it progress.   The truth is the Dow has become a follower, not a leader. It reflects where the committee finally got comfortable going after the move already happened. And by adding more mega-cap tech exposure now, after years of delay, it may be doing exactly what bad investors do: chasing yesterday's winners while taking on tomorrow's risk.   The Dow is not evolving. It is flailing. And every one of these late-stage reshuffles is a reminder that the most famous index in America may also be one of the least relevant.   Fed Stress Test Confirms the Strength of U.S. Bank Balance Sheets U.S. banks once again came through the Federal Reserve's 2026 stress test looking structurally strong, even under an intentionally severe economic downturn scenario. The results continue to reinforce one of the most important post-financial-crisis themes: large banks today are built to withstand a shock that would have been destabilizing in prior cycles.   The Fed's hypothetical scenario was deliberately harsh. It assumed a deep global recession with the U.S. economy contracting 4.6% and unemployment rising to around 10%. Housing prices would fall 30% from their current levels, the stock market would plunge 58% and there would be a 39% drop in commercial real estate prices. The framework is designed to test not just mild downturns, but a “worst plausible case” scenario that stresses bank balance sheets across multiple channels at once. Under that scenario, the Fed estimated cumulative losses across the largest 32 banks at roughly $700 billion, with the bulk coming from credit cards, corporate lending, and commercial real estate exposure. Despite those losses, all major institutions remained above required minimum capital levels. Capital ratios declined during the stress period, as expected, but stayed comfortably within regulatory buffers, underscoring how much capital has been built into the system since the 2008 financial crisis and subsequent regulatory reforms.   What stands out this year is not just that banks passed, but the margin by which they did so. Even under simultaneous pressure from unemployment, real estate, and equity drawdowns, the system showed the ability to absorb losses while still maintaining lending capacity. That “lend-through-cycle” characteristic is one of the key goals of post-crisis regulation, and the results suggest it is functioning as intended.   From an investor perspective, the more immediate implication is capital return. Passing the stress test is effectively the green light for banks to continue deploying excess capital back to shareholders. JPMorgan Chase unveiled a new $50 billion share repurchase program and said it will increase its quarterly dividend 10% to $1.65 per share, subject to board approval. Goldman Sachs and Wells Fargo increased their dividends 11% and Morgan Stanley boosted its payout by 15%.   Importantly, the Federal Reserve did not materially tighten capital requirements in this round, which removes a potential headwind that some investors had been watching. Instead, capital rules remain broadly stable, allowing banks to operate with predictability in their capital planning. That stability is key, because it supports consistent buyback programs rather than volatile, stop-and-go capital return cycles.   Taken together, the results reinforce a familiar but important conclusion: large U.S. banks today are not only capable of surviving severe macroeconomic stress, but they are doing so while generating enough earnings power to continue returning substantial capital through both dividends and buybacks. In a market where macro uncertainty remains elevated, that combination of resilience and shareholder yield continues to be a defining feature of the banking sector.   What Is Quantum Computing All About? Quantum computing is the next big step in the evolution of computing, and there's no way around it: it's a complex subject. But it's also one of the most important technologies being developed today. If your son or daughter is in high school and unsure what they want to study in college, they may want to consider quantum physics, engineering, or computer science with a focus on quantum computing. Over the next decade, the world is going to need far more people who understand this field, whether that means working in quantum research labs, developing software, building hardware, or solving the many engineering problems that still stand in the way of commercial adoption.   At its core, quantum computing is different from traditional computing because it uses quantum mechanics rather than classical binary logic. Today's computers rely on CPUs and GPUs that process information in bits or ones and zeros. Quantum computers use quantum processing units, or QPUs, powered by qubits. Qubits can behave in ways classical bits cannot, which gives quantum systems the potential to solve certain problems dramatically faster than even the most powerful computers we have today.   There are currently four major approaches, or architectures, being used to build quantum computers: superconducting, neutral atoms, trapped ions, and photonics. Each has strengths and weaknesses, and no one yet knows which approach will ultimately dominate. But all of them are trying to achieve the same goal: building machines capable of solving problems that are effectively impossible for classical computers.   That matters because the upside is enormous. Quantum computers could transform fields like drug discovery, materials science, logistics, finance, and artificial intelligence. They may also eventually be able to crack some of the encryption methods that protect today's digital world, which is one reason governments are taking the technology so seriously. It's not just a commercial race, it's increasingly a national security race as well.   And that's where the geopolitical angle comes in. China has been heavily subsidizing quantum research. The future may not just be defined by military arms races, but by technology races, especially in areas like artificial intelligence, semiconductors, and quantum computing.   The financial opportunity is also huge. By 2035, quantum computing is expected to generate roughly $43 billion to $71 billion in revenue. By 2040, some forecasts see that number climbing as high as $850 billion. Those are enormous figures for a technology that is still in its early innings, which helps explain why so much money is flowing into the space. I have to admit, quantum computing is both exciting and a little scary. A technology that can solve problems far faster than today's computers could open the door to incredible breakthroughs, but it could also create entirely new risks. Then again, that's true of almost every major technological leap in history. Progress is often uncomfortable at first, but it also has the power to reshape the world in ways we can't yet fully imagine.   Financial Planning: Accessing Home Equity Homeowners tapped an estimated $47 billion of their roughly $11 trillion of home equity during the first quarter of 2026, the highest first quarter total since 2021. There are three primary ways to borrow against that equity. A cash-out refinance replaces your current mortgage with a larger one, but this generally only makes sense if today's interest rates are similar to or lower than your existing mortgage rate. That is unlikely for homeowners who locked in historically low rates during 2020 through 2022. A home equity loan functions as a second mortgage with its own fixed interest rate and monthly payment, making it a good choice when you need a lump sum for a specific purpose, such as a home renovation. A Home Equity Line of Credit (HELOC) is a revolving line of credit that allows you to borrow only what you need and repay it on your own schedule. While HELOCs typically have variable interest rates, they also provide the greatest flexibility and can make sense in today's interest rate environment. Regardless of which strategy you choose, home equity should be used to improve your overall financial position, such as consolidating high interest debt, funding value-adding home improvements, or purchasing appreciating assets. It should not be used to finance ongoing living expenses or discretionary spending.   Companies Discussed: Netflix Inc. (NFLX)

The Last Trade: Jackson, Michael, and Brian go signal versus noise on the most confusing Bitcoin tape in years, with Bitcoin in the 50s and roughly 50% off its all-time high. They make the deep value case (a 5-year DCA into Bitcoin now nearly matches the S&P 500 while sitting 50% below its highs, the 200-week moving average flashing, and a gold analog that ran 750% off a similar drawdown), break down the Strategy / stretch (STRC) confidence crisis and why the whole DAT experiment increasingly looks like an objective failure, and riff on Warsh's Fed, the hyperscaler free cash flow cliff, Trump's quantum order, and Meta moving into prediction markets.---

What happens when Donald Trump, Elon Musk, Big Tech, artificial intelligence, humanoid robots, quantum computing, and a growing surveillance infrastructure all move in the same direction? On The Shannon Joy Show, Jeff Dornik breaks down why the promises of technological abundance are masking a push toward centralized control, the erosion of private property, and the dismantling of individual liberty. From Musk's stated vision of a communist utopia powered by AI and Optimus robots to the broader technocratic agenda emerging from Silicon Valley and Washington, this conversation exposes the endgame that few people are willing to discuss.Follow Shannon Joy on Pickax - https://pickax.com/shannonjoy Follow Jeff Dornik on Pickax - https://pickax.com/jeffdornikBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-jeff-dornik-show--4788100/support.Follow The Jeff Dornik Show on Apple Podcasts and leave a 5-star review. That's how we reach more people and bypass Big Tech suppression.Watch LIVE daily at 7pm ET on Rumble and subscribe so you never miss a show:https://rumble.com/c/jeffdornikBig Tech is silencing truth while harvesting your data to feed the machine. That's why I built Pickax, a free speech platform where creators own their content and your voice isn't controlled. Join now:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

In this episode of CSI Live, Nick sits down with Simon Erickson from 7investing to unpack the latest breakthroughs in high-tech infrastructure. The conversation kicks off with a look at the massive SpaceX IPO and the ambitious potential for building orbital data centers. From there, the discussion shifts to the primary focus: the rapidly evolving world of quantum computing. Simon breaks down how quantum mechanics could solve incredibly complex problems simultaneously, highlighting the projected $1.3 trillion to $2.7 trillion in economic value the industry could deliver by 2035. The episode covers specific pure-play quantum companies, including IonQ's commercial revenue lead and recent SkyWater acquisition, Infleqtion's neutral atom technology, and Quantinuum's full-stack approach under the Honeywell umbrella. Finally, they detail practical portfolio allocation strategies for early-stage tech and explore the looming national security concerns that could heavily regulate the sector. Check out Semi Insider at chipstockinvestor.comContent in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal.CSI owns shares of Honeywell and Quantinuum.

Stay informed on current events, visit www.NaturalNews.com  - Master Mental Skill for Survival (0:11) - Discernment and Skepticism (8:38) - Challenges of Discernment (16:11) - Natural Health and Discernment (23:43) - Quantum Computing and Encryption (31:46) - Quantum Communications and Navigation (40:34) - Hemp and CBD Legislation (49:16) - Impact of New Law on Public Health (58:14) - Federal Law Impact on THC and CBD Extraction (1:06:32) - Challenges of Compliance with New Law (1:14:44) - Economic and Scientific Implications (1:22:39) - Impact on Public Health and Industry (1:31:03) - Call to Action and Personal Testimonies (1:38:27) - Spiritual and Ethical Perspectives (1:46:14) - Final Thoughts and Encouragement (1:53:43) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

Send us Fan MailPeaches is back with the Ones Ready Daily Drop for 23 June, breaking down the latest military news across the Army, Navy, Marine Corps, Air Force, Space Force, Coast Guard, Secretary of Defense, President of the United States, and global defense updates.This episode covers the Army selecting Anduril for next-generation command and control work, autonomous boats being tested in the Philippines, contractor cyber operations, Marine Corps air defense modernization, the final days of the AV-8B Harrier, and the House directing the Air Force to keep the A-10 Warthog combat ready through 2030.Peaches also gets into the Air Force technical sergeant promotion rate, Space Force mess dress testing, a tactically responsive space launch in under 17 hours, a Coast Guard MH-60 Jayhawk crash in Alaska, Pete Hegseth's review of U.S. force posture in Europe, quantum sensors and quantum computing, U.S. munitions stockpile concerns, NATO defense spending, and major international defense deals.The theme is pretty obvious: autonomous systems, drones, cyber operations, quantum technology, munitions production, and old platforms that still matter are all shaping the next fight.Check out Tasty Gains:TastyGains.comTrain with us:OperatorTrainingSummit.comJoin the Ones Ready membership for early access, members-only episodes, and exclusive merch.Chapters:00:00 - Intro and Sponsors03:35 - Army: Anduril, Command and Control, and Autonomous Boats05:56 - Navy: Contractor Cyber Operations and Drone Boats08:27 - Marine Corps: MADIS, NMESIS, and the Harrier09:55 - Air Force: The A-10 Extension and Tech Sergeant Promotions13:25 - Space Force: Mess Dress and Rapid Space Launch15:14 - Coast Guard: MH-60 Jayhawk Crash in Alaska16:45 - Secretary of Defense and Quantum Sensors17:47 - President Trump, Quantum Computing, and Munitions Stockpiles19:47 - Global Defense Updates22:11 - NATO, Defense Spending, and FCAS23:22 - Wrap-UpSupport the showJoin this channel to get access to perks: HEREBuzzsprout Subscription page:  HERERegister for our Operator Training Summit:  OperatorTrainingSummit.comFind an Air Force Recruiter: AirForce.comCollabs:Ones Ready - OnesReady.com 18A Fitness - Promo Code:  ONESREADY ATACLete - Follow the URL (no promo code):  ATACLeteDanger Close Apparel - Promo Code:  ONESREADYDFND Apparel...

What would happen if two of the most disruptive companies on the planet became one? In today's episode, we tackle a fascinating viewer question: Could Tesla and SpaceX ever merge? And if they did, what would that mean for investors? Both companies share a common visionary leader in Elon Musk, but they operate in very different industries. One is transforming transportation and energy, while the other is revolutionizing space exploration and global communications. We'll explore: Whether a Tesla-SpaceX merger is even realistic The potential benefits and drawbacks of combining the companies What such a deal might mean for shareholders How analysts would approach valuing the combined entity Whether the market would reward or punish such a move Because while the idea sounds exciting... combining two great companies doesn't automatically create a better investment. We'll also discuss the latest wave of corporate layoffs and what they may be telling us about the economy, business confidence, and future growth expectations. And finally, we'll dive into one of the most exciting technological frontiers on the planet: Quantum Computing. With major breakthroughs being announced at an accelerating pace, we'll look at: Where quantum computing stands today Which companies are leading the race The potential investment opportunities And whether the hype is getting ahead of reality This episode blends corporate finance, technology, innovation, and investing into one fascinating discussion. Listen now:

Techaandelen wereldwijd werden gedumpt. Het begon op Wall Street, verplaatste zich naar de Aziatische beurs (waar de Zuid-Koreaanse beurs zelfs even werd stilgelegd) om ook huis te houden op Europese beurzen. Waarna het hele 'feest' weer verder ging op Wall Street. SpaceX, Nvidia, Micron: alles dat iets met tech doet wordt gedumpt. We proberen deze aflevering te kijken wat de reden daar voor is. Of je moet vrezen voor een correctie. En wat de aandelen zijn die je nu wat meer rust en stabiliteit bieden. Hebben we het ook nog even specifiek over SpaceX. Dat maakt zich op voor zijn vierde handelsdag op rij dat de koers daalt. Inmiddels is er 600 miljard dollar aan beurswaarde door het putje. Nog even en de koers van het aandeel zit onder de introductieprijs. Stellen we je ook voor aan Rafael Oliveira. De Braziliaan verkocht eerst koffie en thee, maar wordt nu de op-een-na machtigste bierman van de wereld. Hij wordt namelijk de baas van Heineken! De beste man heeft nog geen dag gewerkt en krijgt nu al bijna voor 25 miljoen euro aan Heineken-aandelen. Tot woede van de VEB. Ook gaat het over Sjoerd Sjoerdsma. Die gaat om de tafel met Howard Lutnick, de plaaggeest van ASML. De man die denkt dat ASML strenge exportregels aan zijn laars lapt. Sjoerdsma moet hem overhalen, zorgen dat 'ie ASML niet aan nog meer regels onderwerpt. Te gast: Erik Mauritz van Trade Republic BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie.See omnystudio.com/listener for privacy information.

Episode 432 of The VentureFizz Podcast features Johannes Galatsanos, CEO & Co-Founder of Diffraqtion. I'm incredibly lucky to host this show because the guests I interview are truly out to rewrite the rules of what's possible. Johannes is a perfect example. He brings over 15 years of deep expertise across AI, quantum tech, and operations across a career that includes lots of deep research in academia to executing massive, corporate AI initiatives at global giants like Novartis. So, what does someone with that background do to push the absolute limits of technology? How about building a space company that is creating the world's first quantum camera to help satellites and machines see further and think faster? By blending quantum photonics with cutting-edge AI edge-computing, Diffraqtion's technology enables satellites and telescopes to bypass traditional lens constraints entirely—delivering 20 times higher resolution and 1,000 times faster processing speed, all at a fraction of the cost. As you'll hear from this interview, there are a countless number of use cases and industries that are perfect for Diffraqtion's technology, which puts them in an ideal spot to build a massive anchor tech company in the Boston startup scene. Chapters: 0:00 Intro 02:37 What is Quantum Computing? 11:40 Johannes' Childhood in Greece and Early Interests 14:52 Transition from Academia to Industry 20:46 Introduction to Diffraction and the Quantum Camera 25:03 Quantum Camera Applications in Space Domain Awareness and Earth Imaging 27:26 Commercializing the technology 28:48 Manufacturing Challenges and Building the Quantum Camera 33:56 Building in Public and Strategic Networking 39:38 Their Innovative Rolling Funding Strategy and Capital Efficiency 45:50 Perfecting their Investor Pitch 49:08 Why Boston for Space Tech Innovation? 53:26 Excitement About Space Industry and Artemis Missions 55:43 Closing Remarks

"We're all digesting artificial intelligence" and its future speed capabilities, says Peter Andersen, who believes investor concerns on AI's limitations have investors intrigued in the quantum computing space despite being in "very early stages." He compares the competing quantum technologies and how they play into the space. Peter explains how companies like Rigetti Computing (RGTI), IonQ (IONQ), and Quantum Computing (QUBT) using the tech today will navigate challenges in the space. ======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

EeroQ is unusual in two ways. It's the only company in the world commercializing electrons-on-helium qubits, a modality first proposed by Platzman and Dykman in Science in 1999. And it was founded by Nick Farina — a software entrepreneur, not a physicist — who got pulled into the field through a Chicago theater board where he met his future co-founder, then-PhD student Johannes Pollanen.This conversation matters now because EeroQ has had an unusually productive twelve months: a Physical Review X paper demonstrating single-electron control above 1 Kelvin, a January 2026 result on controlling up to a million electrons with fewer than 50 control lines, and — published in Nature Physics on June 15, 2026 — the first demonstration of strong coupling between a microwave photon and a single electron on helium, the cavity-QED readout-and-control link the platform depends on. If you're trying to understand which "second-tier" modalities deserve serious attention — and how a small, capital-light team in Chicago is thinking about scale-first hardware design — this is a useful listen.SponsorThis episode is brought to you by Outshift, Cisco's incubation engine. The need for computational power is rapidly increasing in every sector. From drug discovery to material innovation to complex financial modeling, classical systems are reaching their absolute limits. It's time for a paradigm shift. The answer is a scalable quantum network, built on open standards and vendor-agnostic architecture. By uniting distributed quantum devices, you unlock limitless computational power.Learn more about the Cisco Universal Quantum Switch at Outshift.com.Go deeper with the blog post The switch that quantum networking has been waiting for.What We Get IntoHow a Chicago theater board led to one of the most unique qubit companies in the fieldWhy electrons-on-helium failed in the early 2000s and why circuit QED, dry fridges, and CMOS now make it viableThe physical picture: a thin superfluid helium film coating a CMOS chip, with electrons trapped a few nanometers above the surface by their own image chargeWhy EeroQ pivoted from motional states to spin qubits after Steve Lyon (Princeton) joined as CTO — and the predicted 10+ second coherence times that come with itThe "build a quantum computer in reverse" philosophy: starting from a million-qubit architecture and working back toward two-qubit gatesHow the "Wonder Lake" chip controls 2,432 future qubit sites today, and why that's an engineering milestone rather than a qubit countHonest framing of where EeroQ actually is: no two-qubit gate demonstrated yet, with a tape-out target of ~10,000 qubits by late 2028Why dipole-dipole gates come first and exchange gates come later, borrowing from the spin qubit playbookThe case that scaling — not qubit quality — has been the field's slowest-moving problem over the last decadeResources & LinksGuest & CompanyEeroQ — Company site for the only commercial electron-on-helium quantum hardware effort.EeroQ Publications — Peer-reviewed papers and preprints from the team.Building a Quantum Computer in Reverse (EeroQ Blog, July 2023) — Farina's own articulation of the scale-first design philosophy discussed in the episode.Key PapersKoolstra, Glen, Beysengulov et al., "Strong coupling of a microwave photon to an electron on helium," Nature Physics, June 2026 — First demonstration of strong coupling between a microwave photon and the quantized motional state of a single electron on helium, including observation of vacuum Rabi splitting — establishing the cavity-QED readout link at the heart of EeroQ's architecture. This result was under embargo when the episode was recorded.Castoria et al., "Sensing and Control of Single Trapped Electrons Above 1 Kelvin," Physical Review X (2025) — The 1 K result Nick references; demonstrates charge sensing but not yet coherent spin manipulation.Koolstra et al., "High-impedance Resonators for Strong Coupling to an Electron on Helium," Physical Review Applied (Feb 2025) — The resonator architecture underlying EeroQ's cQED control approach.Electron-on-helium qubit (Wikipedia) — Useful overview including the original 1999 Platzman & Dykman Science proposal and Steve Lyon's 2006 spin-qubit paper in Physical Review A.Press & ContextEeroQ Makes World-First Breakthrough in Electron Qubits Floating on Helium (EeroQ, June 2026) — Company announcement of the Nature Physics strong-coupling result.EeroQ Solves the "Wire Problem" (PRNewswire, Jan 2026) — The million-electrons / fewer-than-50-wires result Nick cites.Individual electrons trapped and controlled above 1 K (Phys.org) — Independent coverage of the PRX paper.EeroQ Achieves Tape-Out of "Wonder Lake" Chip (The Quantum Insider, July 2023) — Background on the 2,432-site CMOS chip discussed in the episode.EcosystemChicago Quantum Exchange — The regional consortium EeroQ benefits from.Illinois Quantum and Microelectronics Park — The state-backed quantum park anchored in Chicago.Key Quotes & InsightsOn the contrarian thesis: "Scaling is actually the hardest part of building a quantum computer." Nick argues the field has made real strides on gate fidelity, error correction, and algorithms over the last decade — but not nearly enough on the path to hundreds of thousands or millions of qubits.On building in reverse: Rather than starting from a two-qubit gate and "hoping and praying to find ways to scale," EeroQ started by asking what a million-qubit processor would have to look like — which forced the choice of CMOS as the only manufacturing technology humanity has ever used to build features at that scale.On honest status: "We d...

Cathy Hackl, futurist for Nokia and advisor to the Boston Consulting Group (BCG), joins the podcast to discuss her fascinating work across the Middle East and her insights on the next generation of AI and connectivity. Learn how nations like the UAE and KSA are strategically positioning themselves to lead in spatial computing, quantum supremacy, and a hopeful, future-forward vision of AI.Cathy details her work in the Middle East, including her residency in the UAE and her advisory roles on massive projects like NEOM and Qiddiya, explaining how these regions are embracing technology as a means to modernize. She shares her perspective on the shift in global venture capital, noting how Europe and the Middle East are providing significant funding that is moving beyond traditional Silicon Valley terms.AI XR News You Should Know:The hosts discuss massive AI funding rounds, including a $1 billion seed round for Advanced Machine Intelligence and a $500 million round for Mind Robotics, highlighting the intense capital war for chips and the boom in robotics. They also cover the rise of YouTube as the world's largest media company and the ethical questions surrounding the collection of human data to train robots.Key Moments[00:01:19] Intro: Friday the 13th and geopolitical news.[00:02:17] Mind Robotics & Advanced Machine Intelligence: Discussing the $500M and $1B seed rounds for robotics and AI startups.[00:04:04] Headband Camera for Robot Training: Debate on the ethics of companies paying people to wear cameras to collect training data for robots, comparing it to "Gargoyles" from Snow Crash.[00:10:12] YouTube Surpasses Disney & Netflix: Discussion on YouTube becoming the world's largest media company with $62 billion in revenue.[00:11:29] AI & Media Market Dominance: Questioning whether today's AI music and video companies will eventually surpass all big film, music, and streaming companies.[00:14:40] Cathy Hackl Interview Begins: Cathy discusses her work as a futurist for Nokia, focusing on AI-native networks.[00:16:26] KSA Projects: Cathy's experience working on the virtual and gaming strategy for Qiddiya and on the KSA Pavilion at the World Expo.[00:22:07] Golden Visa & Gifted Residency: The privileges associated with becoming a resident of the UAE or KSA for highly skilled talent.This conversation offers a vital global perspective on technology, innovation, and culture that is often missed when focusing solely on Silicon Valley. Understanding these geopolitical and technological movements is key for anyone trying to anticipate where the next wave of global innovation will truly come from.This episode of The AI XR Podcast is brought to you by Zappar, the folks behind Mattercraft, a leading visual development environment for building immersive 3D web experiences—mattercraft.io. Subscribe wherever you get your podcasts or watch the full episode on YouTube. https://youtu.be/Mw0yM_qpGG8 Hosted on Acast. See acast.com/privacy for more information.

Quantum computing is closer than most people realize — and it may change cybersecurity, privacy, leadership, and digital trust forever. In this episode of One Sharp Sword, Dr. Wayne Pernell speaks with technology strategist and post-quantum security expert Anna Murray about the rapidly approaching “Q-Day,” the future moment when quantum computers can break current encryption systems. Anna explains quantum computing in accessible language while exploring the real-world implications for business leaders, governments, organizations, and everyday people. Together, they discuss “Harvest Now, Decrypt Later,” AI-driven vulnerabilities, decentralization, leadership under uncertainty, and why leaders don't need to become technologists to ask better questions and make better decisions. If you've heard about quantum computing and wondered why it matters — this conversation is your starting point. Topics Covered Quantum computing explained simply Q-Day and the future of encryption AI + cybersecurity risks Leadership during technological disruption Data privacy and digital sovereignty Post-quantum readiness Organizational adaptation and decision-making GuestAnna MurrayCo-Founder, Six3ROAuthor of Quantum Computing 101Technology strategist, speaker, and systems thinker

 Nik Bhatia is an author of two economics books, a visiting fellow at the Bitcoin Policy Institute and the founder of The Bitcoin Layer. In Nik's first appearance on the podcast, he discusses his niche in the Bitcoin community, the role of Bitcoin as a transaction asset, the threat or lack thereof of quantum computing on Bitcoin, his issues with the current eurodollar market, his new proposal to use stablecoins as statecraft, and much more. Watch the full length video on our new YouTube Channel! Check out the transcript for this week's episode, now with links. Recorded on May 5th, 2026 Subscribe to David's Substack: Macroeconomic Policy Nexus Follow David on X: @DavidBeckworth Follow Nik X: @Timevalueofbtc Follow the show on X: @Macro_Musings Check out our Macro Musings merch! Timestamps 00:00:00 - Intro 00:01:49 - Nik's Career and Background 00:12:32 - Crypto Assets for Transactions 00:18:28 - Quantum Computing and Bitcoin 00:24:08 - Stablecoins as Statecraft 00:58:36 - Outro

Every organization relies on secure digital connections across suppliers, partners, and platforms. Yet many of the technologies that protect those connections were built for a world before quantum computing.  While practical quantum capabilities may still seem years away, the risks associated with them are already prompting concern, particularly as encrypted data collected today could potentially be decrypted in the future. For supply chain leaders, that creates a unique challenge: preparing for a technological shift that is still emerging while protecting information that remains valuable far into the future. In this episode of Supply Chain Now, hosts Scott W. Luton and Karin Bursa sit down with Akhilesh Agarwal, President of P2P Solutions and Technology at apexanalytix, and William McNeill, Vice President of Market Intelligence, for a conversation on what the quantum era could mean for supply chains. Together, they unpack the growing conversation around quantum computing, the implications of "harvest now, decrypt later" strategies, and why supply chain ecosystems may be particularly vulnerable due to the vast amounts of supplier, financial, and contractual data that move across them every day. As digital transformation continues to accelerate, they discuss why understanding emerging risks today may be just as important as preparing for the opportunities quantum technologies could unlock tomorrow. Jump into the conversation: (00:00) Intro (00:42) Quantum risks supply chain leaders must know (02:13) Meet apexanalytix quantum risk experts (03:35) Space exploration lessons for innovation (07:03) Apexanalytix protects supplier data at scale (10:16) Why they wrote The Quantum Paradox (10:46) Harvest now decrypt later threat (15:46) Where to start with quantum readiness (21:38) Four major supply chain impacts (24:39) Supplier risk extends beyond tier one (26:27) Why supplier collaboration matters (27:42) Building a three-to-five-year quantum plan (33:20) Audit technology stack and supplier data (48:47) White paper resources and next steps (51:37) Gartner recognition and key takeaway (54:48) Act now on quantum readiness   Additional Links & Resources: Connect with Akhilesh Agarwal: https://www.linkedin.com/in/akhilesh78/ Connect with William McNeill: https://www.linkedin.com/in/wimcneill/ Learn more about apexanalytix: https://www.apexanalytix.com/ Learn more about Qbiton: https://www.qbiton.com/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- Amazon Supply Chain 101: Enabling efficiency and growth for businesses everywhere–and everywhere they sell: https://bit.ly/49r8N7D WEBINAR- The Expanding Role of Supply Chain Optimization Teams in Driving Business Impact: https://bit.ly/3PHRAAf WEBINAR- AI that moves at velocity: Cut through latency with agentic workflows: https://bit.ly/4x4626t This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/leader-briefing-quantum-risk-to-practical-action-1596 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

PODCAST EPISODE | Redefining CyberSecurity With Sean Martin — On Location at InfoSecurity Europe 2026 On Location With Sean Martin And Marco Ciappelli Adversaries are stealing encrypted data today that they cannot read yet, and storing it until a quantum computer can. Sean Martin sat down with Forescout's Rik Ferguson to talk about “harvest now, decrypt later,” why Q-Day is closer than the comfortable timelines suggest, and what the decisions you make this year have to do with secrets you thought were safe forever.

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Why This Episode MattersSabrina Maniscalco is one of the few people in quantum who has lived the full arc: two decades of academic work on open quantum systems and non-Markovian noise at Palermo, Turku, Edinburgh, and Helsinki, followed by founding Algorithmiq with three of her former researchers after an early Qiskit Camp. That trajectory matters now because Algorithmiq just had a landmark stretch — sole winner of the $2M Wellcome Leap Q4Bio prize for a quantum-enabled cancer drug discovery workflow, an €18M Series B, a global HQ move to Milan, and its Tensor Network Error Mitigation (TEM) function landing in IBM's Qiskit Functions catalog.If you're trying to make sense of where quantum software actually creates value before fault tolerance arrives — and what a credible "trajectory to advantage" looks like when paired with real clients in life sciences — this is a grounded, technically specific conversation with someone building it.EPISODE SPONSORThis episode is brought to you by Outshift, Cisco's incubation engine. The need for computational power is rapidly increasing in every sector. From drug discovery to material innovation to complex financial modeling, classical systems are reaching their absolute limits. It's time for a paradigm shift. The answer is a scalable quantum network, built on open standards and vendor-agnostic architecture. By uniting distributed quantum devices, you unlock limitless computational power.Learn more about the Cisco Universal Quantum Switch at Outshift.com.Go deeper with the blog post The switch that quantum networking has been waiting for.What We Get IntoWhy a background in open quantum systems and non-Markovian noise turned out to be unusually well-suited to running algorithms on noisy near-term hardwareThe actual science behind the Q4Bio winning workflow: simulating excited-state dynamics of a photosensitizer drug already in Phase II clinical trials, on up to 100 qubitsHow quantum-boosted DMRG works — and why it gives you a built-in benchmark against the best classical method via the bond dimensionThe tradeoff Sabrina would and wouldn't make between more qubits and lower noise, and why neutral atoms' slower sampling rates matter for chemistryWhy even fault-tolerant algorithms like quantum phase estimation still depend on getting state initialization and measurement rightAlgorithmiq's two-product structure: the Digital Quantum Interface (hardware-agnostic infrastructure) and the life sciences application frameworkHow methods built for chemistry are now opening doors into optimization and GenAI — and why that direction emerged from the work, not from a strategy deckWhat the move from Helsinki to Milan signals about the European quantum ecosystem and Algorithmiq's commercial scale-upHow an active learning pipeline is already proposing novel drug variants for synthesis in Prof. Sherri McFarland's labResources & LinksGuest & CompanyAlgorithmiq — The company Sabrina co-founded with Guillermo García-Pérez, Matteo Rossi, and Boris Sokolov; quantum software for life sciences and chemistry.Sabrina Maniscalco — University of Helsinki Research Portal — Publication record covering open quantum systems, non-Markovian dynamics, and quantum information.Sabrina Maniscalco — AI for Good Bio — Consolidated bio covering academic roles and advisory positions, including IQOQI Austria and CERN's Quantum Technology Initiative.The Q4Bio WinAlgorithmiq Wins $2M Wellcome Leap Q4Bio Prize — Company announcement detailing the photodynamic therapy workflow.Wellcome Leap — Q4Bio Prize Announcement — Funder's perspective on finalists and criteria.IBM Quantum Blog — Q4Bio Finalists — IBM's account of the workflow and quantum-classical integration.Funding & HQ MoveTech.eu — Algorithmiq's €18M Series B and Milan move — Coverage of Italy's largest quantum VC round to date.Quantum Computing Report — Algorithmiq Relocates to Milan — Strategic context including the Q4Bio win and IBM partnership.EU-Startups coverage — Investor lineup and Italy's National Quantum Strategy framing.Quantum Advantage & ToolingIBM Quantum Blog — The Dawn of Quantum Advantage — Includes Algorithmiq's TEM (Tensor Network Error Mitigation) function in the Qiskit Functions catalog.Algorithmiq & IBM Quantum Advantage Tracker — The heterogeneous materials experiment Algorithmiq and IBM put forward as a community benchmark.Silicon Republic interview with Sabrina — Useful prior context on her philosophy of using quantum to simulate quantum systems.Key Quotes & InsightsOn the foundation of the company's approach: "We learned very early what we thought were the bottlenecks of quantum computers — what you really need to worry about if you want to implement computation at scale." A direct line from Qiskit Camp Vermont to Algorithmiq's product strategy.On Q4Bio, in Sabrina's words: "This molecule is already in Phase II clinical trial. So it's not hydrogen. It's a real molecule." A useful counter to the common critique that quantum chemistry demos still live in toy-model land.On quantum-boosted DMRG (insight): In the worst case, the method matches the best classical technique; in the better case, it outperforms it — and the bond dimension tells you which regime you're in. Built-in benchmarking against the classical baseline.On the hardware tradeoff: Asked whether she'd prefer 100 higher-fidelity qubits or 200 noisier ones, Sabrina's answer is "it depends" — and the explanation about why neutral atoms' lower sampling rates limit chemistry use cases is one of the more concrete things you'll hear on platform tradeoffs.On strategy (insight): New verticals at Algorithmiq are ...

This week the hosts REALLY don't engage that much with Hearthstone. We talk about some general sex tips (yup we sure do), then Ted recalls his board game adventures, Smarms talks about Quantum Computing, and then eventually SOME Hearthstone cards.  Here is the newsletter I write that releases every Sunday morning! https://stormraige.substack.com/ Logo Created By: Nate Wolfe. Modifications by Gingersaurous Theme Song By: Se7enist. https://open.spotify.com/artist/5kmsQa4jBfiUwWLqOp64GX? You can buy merch here: https://blizzlet.myspreadshop.com/all

What will the enterprise of the future actually look like, and which technologies deserve attention beyond the hype cycle? In today's episode, I sit down with Yaad Oren, Global Head of SAP Research & Innovation and Managing Director of SAP Labs US, for a fascinating conversation about the technologies that could shape business over the next decade. Leading SAP's global research and innovation efforts, Yaad works at the intersection of academia, startups, venture capital, and enterprise technology, identifying emerging technologies before they reach the mainstream. His team explores everything from next-generation AI and voice interfaces to quantum computing, robotics, future data platforms, and new cloud architectures. We discuss why voice AI could become the primary interface for enterprise software, allowing employees to interact with business systems as naturally as they would with a colleague. Yaad also explains how quantum computing is already showing promise in complex supply chain optimization challenges and why robotics is moving beyond manufacturing floors into logistics, inspection, hospitality, and customer-facing environments. The conversation also explores one of the less talked about drivers of innovation: the role universities play in shaping the technologies businesses will eventually depend on. Yaad shares how SAP works closely with academic institutions around the world to identify breakthroughs while they are still emerging from research labs, long before they become commercial products. We also discuss SAP's vision for the autonomous enterprise, where AI assistants orchestrate teams of specialized agents across finance, supply chain, sales, and operations. Rather than replacing decision-makers, these systems are designed to automate routine work and allow people to focus on higher-value activities. Perhaps most importantly, Yaad offers practical advice for business leaders trying to prepare for the next wave of innovation without chasing every trend. His message is clear: build a strong data foundation, stay informed about emerging technologies, and create a culture that is willing to experiment. If you've ever wondered what technologies might shape enterprise software five to ten years from now, this episode offers a rare glimpse into the research, partnerships, and ideas that are already influencing that future. What emerging technology do you believe will have the biggest impact on your industry over the next decade? Share your thoughts and join the conversation.

At Contact in the Desert, Martin Willis sits down with entrepreneur, AI researcher, and quantum computing expert Deep Prasad for a wide-ranging discussion that explores the intersection of artificial intelligence, consciousness, advanced physics, and the UFO phenomenon. Deep shares details of an extraordinary experience he had in 2019 that profoundly changed his understanding of reality and led him to explore questions surrounding non-human intelligence and consciousness. He also discusses the rapid advancement of AI, the promise and challenges of quantum computing, and how future technologies may help unlock some of the deepest mysteries surrounding UAP.SHOW NOTESCONTACT AND SUPPORT

Microsoft EVP Jason Zander on the materials breakthrough that closed the gap, how AI agents cut the roadmap in half, and why he believes quantum's real job might be to make AI smarter.We Meet:  Microsoft EVP of Discovery & Quantum Jason Zander Credits:This episode of SHIFT was produced by Jennifer Strong with help from Emma Cillekens. It was mixed by Garret Lang, with original music from him and Jacob Gorski. Art by Meg Marco.

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