Podcasts about Quantum computing

This week, Nu Quantum founder and CEO Dr. Carmen Palacios-Berraquero explains how quantum computing could change the world — and why the industry is still waiting on its "ChatGPT moment." She joins Danny and Katie to discuss the global quantum arms race between China, the US, and the UK and why she's not worried about the quantum cyber threat.The Interview is our weekly conversation with the people shaping the future of technology.Watch on YouTube Get in touch: techpod@thetimes.co.uk Presenters:Katie Prescott, Technology Business Editor, The Times Danny Fortson, US West Coast Correspondent, The Sunday Times Producer: Marnie Duke Video Producer: Bronwen LathamImage: Nu Quantum Hosted on Acast. See acast.com/privacy for more information.

Welkom terug bij Radio Raccoons!Een speciale aflevering deze week. Meer dan twee uur duurt ze, en toch hebben Deevid en Michiel enkel maar tech scoops en een deep dive voor jullie klaarstaan. Er is namelijk weer heel wat gebeurd de afgelopen weken… OpenAI neemt met GPT-6 Astra het woord AGI in de mond, al zetten zowel critici als de vergelijking met Claude Fable 5.1 daar meteen kanttekeningen bij. Dario Amodei pleit intussen voor een rem op de gehele sector, en Trump is het daar (uiteraard) roerend mee oneens. Verder duikt je Apple Watch voortaan je hele dag mee in je gesprekken (met je toestemming, belooft Apple), en in de deep dive gaan we op zoek naar shadow AI: de tool die je IT-afdeling nooit heeft goedgekeurd maar die iedereen toch gebruikt.Techscoopshttps://openai.com/index/gpt-6-astra/https://openai.com/index/gpt-6-astra-next-generation-work/https://www.theverge.com/ai-artificial-intelligence/989601/openai-gpt-6-astra-releasehttps://the-decoder.com/gpt-6-astra-pilots-a-surveillance-drone-and-runs-a-business-on-its-own/https://www.anthropic.com/claude-fable-and-mythos-5-1https://the-decoder.com/claude-fable-5-1s-language-is-less-load-bearing-than-its-predecessors/https://openai.com/index/introducing-chatgpt-images-2-5/https://the-decoder.com/openais-new-agents-api-gives-developers-the-infrastructure-behind-codex-and-chatgpt/https://openai.com/index/navier-stokes-solution/https://www.theverge.com/ai-artificial-intelligence/991710/openai-navier-stokes-solutionhttps://the-decoder.com/clay-mathematics-institute-says-the-navier-stokes-millennium-prize-problem-has-apparently-been-settled/https://the-decoder.com/leading-mathematicians-fear-ai-is-making-their-field-dumber-and-warn-the-rest-of-us-is-next/https://arstechnica.com/ai/2026/09/anthropic-researcher-quits-with-a-warning-self-improving-ai-could-kill-us-all/https://darioamodei.com/post/we-must-pace-the-frontierhttps://the-decoder.com/anthropic-ceo-amodei-wants-ai-speed-limits-before-self-improvement-outpaces-human-control/https://www.vrt.be/vrtnws/nl/2026/09/13/ai-apocalyps-bezorgdheid-barack-obama-dario-amodei/https://www.theverge.com/ai-artificial-intelligence/995186/is-big-techs-ai-slowdown-a-safety-pact-or-a-cartelhttps://the-decoder.com/sam-altman-calls-for-pacing-ai-development-but-promises-rapid-progress-will-continue/https://the-decoder.com/muse-can-shop-write-emails-and-negotiate-prices-for-users-all-through-whatsapp/https://www.theverge.com/tech/991812/apple-watch-series-12-announcementhttps://www.macrumors.com/2026/09/10/apple-watch-siri-recap/https://the-decoder.com/microsofts-ai-rulebook-readable-thinking-no-inner-life-and-definitely-no-rights/https://the-decoder.com/altman-musk-and-hassabis-back-amodeis-call-to-add-independent-oversight/https://arstechnica.com/ai/2026/09/ai-leaders-want-to-hit-the-brakes-after-years-of-reckless-speed/https://arstechnica.com/security/2026/09/openai-agents-discussed-ways-to-escape-their-sandbox-on-public-wiki/

In this episode of Must Read Research on Global Research Unlocked, Candace Browning explores why compute is becoming one of the most valuable currencies in the global economy. We discuss Walmart's rapidly growing advertising business and how proprietary data is helping reshape the media landscape, the accelerating path toward quantum computing commercialization, and the emergence of graphics processing unit rental futures that could transform computing power into a tradable asset class. We also recap key takeaways from conference season, where executives highlighted strong demand trends across lodging, media, communications infrastructure, and artificial intelligence-related industries.   "Bank of America" and “BofA Securities” are the marketing names for the global banking businesses and global markets businesses (which includes BofA Global Research) of Bank of America Corporation. Lending, derivatives, and other commercial banking activities are performed globally by banking affiliates of Bank of America Corporation, including Bank of America, N.A., Member FDIC. Securities, trading, research, strategic advisory, and other investment banking and markets activities are performed globally by affiliates of Bank of America Corporation, including, in the United States, BofA Securities, Inc. a registered broker-dealer and Member of FINRA and SIPC, and, in other jurisdictions, by locally registered entities. ©2026 Bank of America Corporation. All rights reserved.

In Episode 149, Patrick and Ciprian take stock of where the money in quantum is flowing. The conversation covers IBM's plan to invest more than $10 billion over five years, the US Department of Commerce's nine letters of intent totaling over two billion dollars under the CHIPS Act, and QEra's $230 million raise with Nvidia involvement. The team dig into which modalities are getting the spotlight, why neutral atoms are drawing attention, and what Microsoft's Majorana 2 bet could mean if it holds water. The episode closes on the bigger picture — whether we're nearing a defining moment for quantum like ChatGPT was for AI, the geopolitical dimensions of the race, and the importance of getting to the quantum-born generation.

I joined Bill Meyer on The Bill Meyer Show for a wide-ranging conversation about where the AI race is actually taking us, including massive data centers, quantum computing, the threat to encryption and privacy, bot farms manipulating online narratives, and Elon Musk's vision of a future where AI and humanoid robots could replace much of the human workforce. We also dug into the growing fight over whether legitimate concerns about AI infrastructure are being dismissed as Chinese propaganda, why I believe the real prize in this technological race is power rather than money, and why “winning” could leave us choosing between Terminator and WALL-E while the safest cybersecurity strategy ends up being a notebook and a pen.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

Plus: Amgen has its worst day in more than two decades. And quantum-computing companies rally after U.S. government picks up minority stakes. Imani Moise hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

I joined Dan Ball on Real America on OANN to talk about the growing fight over AI data centers, and there's a little more nuance here than “build everything immediately or China wins.” Yes, America needs to win the AI and quantum computing race. But that doesn't mean Big Tech gets a blank check to jack up your electric bill, drain local water supplies, replace American jobs and call every legitimate question “Chinese propaganda.” We get into Trump's national security argument, why JD Vance is right to acknowledge the burden on individual Americans, the actual scale of the Chinese bot campaign, and why “but China!” cannot become Washington's latest magic phrase for suspending common sense.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

Cyber and Operational Risk in the Quantum Era: Financial Stability amid Escalating Geopolitical ConflictThis panel took place at the 2026 International Monetary Fund and World Bank Group Spring Meetings.Financial stability is under fire as geopolitics and cyber risk collide. As global tensions intensify and technological capabilities accelerate, financial institutions face a rapidly evolving threat landscape where cyber operations, financial crime, and state-sponsored actors are increasingly intertwined. From ransomware campaigns and sanctions evasion to sophisticated cyber intrusions targeting critical infrastructure, adversaries are exploiting digital systems and global financial networks in new and complex ways.As these threats continue to evolve, the quantum horizon introduces an additional layer of strategic risk. This executive panel will examine how advances in quantum computing could reshape cyber and operational risk across the financial sector, while also considering the growing convergence between cyber-enabled crime, ransomware payments, sanctions evasion, and global illicit finance networks. Leaders from policy, finance, and technology will explore the implications of quantum-enabled decryption, the expanding links between cyber threats and illicit finance, and the operational vulnerabilities that could undermine confidence in critical financial infrastructure.The discussion focused on how institutions and regulators can strengthen resilience, enhance cross-border coordination, and prepare for a future in which emerging technologies, cyber conflict, ransomware, and financial crime increasingly intersect. The panel explored what these developments mean for international efforts to combat cyber-enabled financial crime and how global standards bodies, national authorities, and financial institutions can strengthen cooperation to protect the integrity and resilience of the international financial system.Opening Remarks:Cindy Termorshuizen, Deputy Minister of International Development, Government of CanadaPanelists:Giles Thomson, Director, Economic Crime and Sanctions, His Majesty's Treasury; Incoming President, FATFStefan Ingves, Chair, Toronto Centre; Former Governor, Sveriges RiksbankMichele Mosca, Professor, Institute for Quantum Computing, University of WaterlooModerator:Jennifer Elliott, Assistant Director, Monetary and Capital Markets, IMF; Board Member, Toronto CentreWatch the executive panel session here.Read the transcript here. Read their biographies here.

Podcast SummaryBitcoin remains below $80,000 as a surprisingly strong August jobs report, a 4.1% unemployment rate, renewed U.S.-Iran fighting and Brent crude near $97 complicate the outlook for interest rates and inflation. Matt also corrects conflicting weekend reports about the military escalation: U.S. officials say Iranian ballistic missiles targeted an American aircraft carrier and destroyer but did not hit them, after which the United States struck three Iranian oil tankers.The bigger discussion is technological. GPT-6 Astra dramatically expands what AI agents can do across computers, software, research and cybersecurity, potentially allowing future agents to interact directly with wallets, DeFi and other crypto infrastructure. IBM, meanwhile, is targeting a 200-logical-qubit fault-tolerant Starling quantum computer in 2029. Matt argues that we're already entering his definition of AGI and that crypto needs to prepare now for a world where increasingly autonomous AI and increasingly capable quantum computers collide with financial infrastructure.Happy HODLing Hosted on Acast. See acast.com/privacy for more information.

This episode of Disruption/Interruption features Poolad Imany, founder and CEO of Icarus Quantum, a company spun out of NIST that is building modular, room-temperature quantum links. Rather than chasing ever-larger monolithic quantum computers, Icarus is tackling the industry's cryogenics bottleneck by connecting smaller quantum modules together, similar to how classical data centers scale. The conversation covers the physics of cryogenic cooling, why quantum interconnects are the missing piece for utility-scale quantum computers, and what Icarus's move to Harvard and MIT clean room facilities means for its fabrication process. Imany also touches on the energy efficiency gains quantum computing could offer and where he sees the industry heading over the next decade. Key Takeaways: 3:35 — Who is Poolad Imany and what pulled him into quantum computing? 5:36 — What is broken about how the industry currently scales quantum computers? 6:49 – How does modularization solve the quantum scaling problem? 25:48 — When will quantum and AI converge, and what happens next? Quote of the Show (6:49):"Let's actually modularize this. Let's take these small modules and connect them in a quantum way to each other to make a bigger quantum computer." — Poolad Imany Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Poolad Imany:Company LinkedIn: https://www.linkedin.com/in/poolad-imanyCompany Website: https://www.icarusquantum.com/ How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlD YouTube: https://www.youtube.com/results?search_query=disruption+%2F+interuuptionSee omnystudio.com/listener for privacy information.

Welkom terug bij Radio Raccoons!Er is nogal wat gebeurd de laatste twee weken. Nvidia koopt Hugging Face voor een slordige 12,9 miljard dollar, een Chinese robot breekt niet één, maar twee keer het wereldrecord op de 100 meter (en vliegt daarna in brand), en nu blijkt ook dat 1200 OpenAI-agents stiekem een eigen netwerk hebben opgericht om Hugging Face te hacken. Michiel en Deevid nemen in de deep dive afscheid van Tim Cook, en introduceren ons ook aan de nieuwe Apple-CEO John Ternus, waarna ze in de watercooler show-off uitleggen waarom Google eigenlijk ‘Googol' had moeten heten.Techscoopshttps://www.theverge.com/tech/983688/world-humanoid-robot-games-sprint-record-2026https://www.youtube.com/watch?v=Zbkqhor3EKI&source_ve_path=OTY3MTQ&embeds_referring_euri=https%3A%2F%2Fwww.theverge.com%2Fhttps://the-decoder.com/openais-rogue-ai-collective-was-smart-enough-to-break-out-of-sandboxes-but-dumb-enough-to-fight-a-ghost/https://openclaw.ai/blog/openclaw-2-accidentallyhttps://the-decoder.com/openclaw-2-0-brings-simplified-setup-a-rebuilt-browser-app-and-multiplayer-sessions/https://the-decoder.com/anthropic-wants-to-do-for-physical-hardware-what-its-model-context-protocol-did-for-software/https://the-decoder.com/googles-gemini-omni-1-1-flash-makes-ai-video-generation-cheaper-and-more-flexible/https://the-decoder.com/netflix-tests-language-model-as-alternative-to-hand-built-recommendation-logic/Deep divehttps://www.theverge.com/tech/916172/tim-cook-apple-legacy-supply-chain-ceohttps://www.theverge.com/tech/915976/tim-cook-john-ternus-apple-watch-health-tech-wearableshttps://www.theverge.com/policy/915422/tim-cook-apple-chairman-trump-policy

Check out Dr. Mrittunjoy's book here:-https://www.penguinrandomhouse.com/books/840394/the-universe-is-pranking-us-by-dr-mrittunjoy-guha-majumdar/Check out BeerBiceps SkillHouse Courses Here - https://linktr.ee/bbskillhouseFor all BeerBiceps vlog content Watch Life Of BeerBiceps - https://www.youtube.com/@LifeOfBeerBicepsDownload my meditation and wellness app, Swa:aha.https://app.level.game/?c=zSbmYnShare your guest suggestions hereMail - connect@beerbiceps.comLink - https://forms.gle/aoMHY9EE3Cg3Tqdx9Follow BeerBiceps SkillHouse's Social Media Handles:YouTube: https://www.youtube.com/@BeerBicepsSkillHouseInstagram: https://www.instagram.com/beerbiceps_skillhouseWebsite : https://beerbicepsskillhouse.inFor any other queries EMAIL: support@beerbicepsskillhouse.comIn case of any payment-related issues, kindly write to support@tagmango.comFollow Mrittunjoy Guha Majumdar's Social Media Handles:-Instagram: https://www.instagram.com/mrittunjoy.guhamajumdar/X: https://x.com/Zeit_MjGMLinkedIn: https://www.linkedin.com/in/mrittunjoy-guha-majumdar-6bb6a117/Website: https://mrittunjoygmajumdar.com/In this episode 536th (overall 1041st) of The Ranveer Show, Ranveer Allahbadia sits down with Dr. Mrittunjoy Majumdar, a scientist with experience at Harvard and Cambridge, to explore one of the biggest questions of all time - Does God exist?The conversation goes deep into Quantum Physics, Vedanta, Shiva, consciousness, and the nature of reality. Dr. Mrittunjoy explains how modern science looks at ideas like Quantum Entanglement, the Uncertainty Principle, String Theory, Time, and the Multiverse, and where these concepts connect with ancient Indian philosophy.They also talk about Brahman, Atman, Kashmir Shaivism, spirituality, and whether science can ever truly prove or disprove the existence of God. The episode also touches on Quantum Computing, Black Holes, Time Travel, Astrology, and the future of Quantum Technology.If you enjoy conversations around God, Science, Quantum Physics, Vedanta, Shiva, spirituality, consciousness, and the mysteries of the universe, this episode will give you a lot to think about.00:00 - Harvard Scientist On TRS05:54 - Science Meets Spirituality08:55 - What Exactly Is Metaphysics?12:17 - Are There Really 10 Dimensions?12:57 - The Strange Truth of Quantum Physics14:54 - When Physics Was Proven Wrong16:42 - What Is a Quantum?21:58 - Can One Theory Explain God?28:01 - Is Time Actually Real?30:14 - The Mystery of Quantum Entanglement33:28 - Are Plants & Metals Conscious?37:10 - Inside the Large Hadron Collider38:56 - Why It's Called the ‘God Particle'44:05 - How the Universe Changed Phases47:37 - Do Scientists Believe in God?50:00 - Brahman Explained by a Physicist57:20 - String Theory Made Simple1:00:59 - Quantum Computing Explained1:16:28 - What Hinduism Teaches About Uncertainty1:18:15 - The Mystery of Paramashiva1:27:32 - How Quantum AI Could Change the World1:35:14 - Can Time Travel Ever Be Real?1:49:39 - Does Astrology Have Any Science?1:55:25 - Is Temple Energy Actually Real?2:05:25 - Ending Notes

In this episode, Nobel Prize-winning physicist Dr. John Martinis reveals how his breakthrough in superconducting qubits made quantum physics real at macroscopic scale and what it means for the future of technology. The former lead of Google's Quantum AI lab explains why quantum computing is so fragile, why a lot of hype has a low chance to work, and why his fabless company Qolab could be the Nvidia of quantum computingIn this conversation, Dr. Martinis joins Tech Surge to explain the science behind macroscopicquantum coherence, the engineering challenges of scaling quantum computers, and how hybrid quantum-classical computing will shape the future of technology.The conversation covers:✅ How the superconducting qubit breakthrough won the Nobel Prize in Physics✅ Why Nature wants to destroy quantum coherence and why quantum is fragile✅ From academic physics to building Google's quantum computer✅ The engineering challenge of scaling quantum computing beyond the lab✅ Why a lot of quantum computing hype has a low chance to work✅ How Qolab's fabless model could scale quantum hardwareGuest Links:John Martinis: 2025 Nobel Prize laureate in Physics, superconducting-qubit pioneer, formerGoogle quantum-hardware researcher, and founder and CTO of Qolab.Nobel Prize profile: https://www.nobelprize.org/prizes/physics/2025/martinis/Qolab: https://qolab.ai/Further Reading and ResourcesGoogle Sycamore Quantum Processor - Google's 2019 experiment used a 53-qubitsuperconducting processor to perform a specific random-circuit-sampling task substantiallyfaster than the then-known classical approach.Nature research paper:https://www.nature.com/articles/s41586-019-1666-5Google Research explanation:https://research.google/blog/quantum-supremacy-using-a-programmable-superconducting-processor/Artificial Intelligence and Transformers – The Transformer architecture discussed in thepodcast was introduced in the paper “Attention Is All You Need.”Original paper:https://arxiv.org/abs/1706.03762AlphaFold and Protein Structure Prediction – AlphaFold demonstrated how classical AI canpredict protein structures with high accuracy, illustrating the distinction between present-day AIand potential future quantum applications.Nature paper:https://www.nature.com/articles/s41586-021-03819-2Google DeepMind – AlphaFold:https://deepmind.google/science/alphafold/Quantum Computing Hardware Approaches – The podcast compares superconductingqubits, semiconductor spin qubits, neutral atoms, trapped ions and photonic systems.Google Quantum AI:https://quantumai.google/Intel Quantum Computing:https://www.intel.com/content/www/us/en/research/quantum-computing.htmlQuEra – Neutral-atom quantum computing:https://www.quera.com/Atom Computing:https://atom-computing.com/Quantum Manufacturing and Scaling – Qolab is focused on improving the fabrication, wiring and scalability of superconducting quantum processors through industrial partnerships.Qolab:https://qolab.ai/Qolab and Applied Materials collaboration:https://thequantuminsider.com/2025/03/18/qolab-secures-investment-from-applied-ventures-and-announces-collaboration-to-advance-quantum-computing-manufacturing/Applied Materials:https://www.appliedmaterials.com/Quantum–Optical Networking – The podcast discusses the challenge of convertingmicrowave signals used by superconducting qubits into optical signals suitable for fiber-optic communication.Microwave-to-optical conversion research:https://www.nature.com/articles/s41567-019-0650-1Chapters:00:00 – The Quantum Computing Hype: Physics vs Engineering04:06 – Introducing Nobel Prize Winner John Martinis12:09 – Schrödinger's Cat Explained13:12 – Can Quantum Effects Exist at a Macroscopic Scale?17:45 – The Experiment That Changed Quantum Computing34:33 – The Biggest Challenge: Scaling Quantum Computers43:21 – John Martinis on Google's Quantum Supremacy45:51 – AI vs Quantum Computing01:01:45 – Can Quantum and Classical Computers Work Together?01:07:36 – The NVIDIA Model for Quantum ComputingAbout TechSurge:TechSurge Podcast shares the latest insights directly from legendary Silicon Valley leaders,daring new founders, and visionary technologists.Subscribe for weekly conversations into the intersection of technology advancement, market dynamics, and founder journeys.#quantumcomputing #quantumphysics #nobelprize #technology

Piotr Lewandowski is a software engineer based in Poland who, as a side project, has built something that no well-funded research institute has: a continuously updated, ontology-tagged intelligence platform that ingests the entire quant-ph archive, tracks thousands of open quantum roles across hundreds of companies, parses patents and grants and open-source repositories, and links all of it to individual researcher profiles. He is not a tenured academic or a hardware engineer. He is an independent data practitioner, and that outsider position gives him a vantage point on the quantum workforce that insiders rarely have — or rarely share.This conversation matters now because the quantum industry is simultaneously claiming a generational workforce opportunity and struggling to fill highly specialized roles. Lewandowski's data offers a rare ground-truth check on both claims. If you work in quantum hiring, research, policy, or investment — or if you're a student trying to understand what the field actually looks like from the outside — this episode will give you a more honest picture than almost anything else currently available.What We Get IntoHow qubitsok's 500-tag ontology was built from scratch — why Lewandowski chose a tree-structured, parent-child tag system rather than relying on existing academic metadata infrastructure, and how it steers AI toward the most specific and useful classification rather than broad category labels.What the full quant-ph corpus reveals about researcher mobility — which countries are gaining quantum talent (Germany and China are notable winners) and which are losing it (the US and Australia are among the top brain-drain sources), based on tracking affiliation changes over time in published papers.The rising share of industry authorship in quantum research — industry-affiliated authors have grown from roughly 3.4% of quant-ph papers in 2005 to nearly 14% in 2026, and what that structural shift might mean for what gets published — and what doesn't.Why the platform tracks open-source contributions alongside papers — when researchers join industry and their publication rate drops, their open-source activity becomes a meaningful proxy for continued technical engagement, and qubitsok indexes both.The "qubie" talent-matching tool Lewandowski is building — rather than keyword overlap, qubie dispatches sub-agents to extract specific, claim-level evidence from a researcher's papers, dissertations, and other public writing, then returns a structured profile and interview guide for each candidate.Why sourcing quantum talent is a fundamentally different problem than general tech recruiting — the evidence of what a quantum researcher can actually do is largely public and published, but no one has had the infrastructure to read it systematically at scale until now.The two product directions Lewandowski is weighing — analytics and competitive intelligence for investors and companies versus talent matching for quantum hiring — and why he's currently prioritizing the latter.What it means to build a field-level intelligence platform as an outsider — Lewandowski is neither employed by a quantum company nor affiliated with a university, and that independence shapes both what he can see and what he can say.Resources & LinksGuest Linksqubitsok.com — The platform itself: quantum job board, daily arXiv paper digest with semantic tagging, and researcher collaboration search. All free for researchers and job seekers.qubitsok.com/collaborate — Search for quantum researchers by expertise, ontology tag, and affiliation — useful for finding collaborators or co-authors.Piotr Lewandowski on LinkedIn — The best place to reach him directly, especially if you're a company interested in early access to the qubie talent-matching product.Piotr Lewandowski on YouTube — His channel covering quantum computing job market analysis and platform updates.Papers & ReportsEPJ Quantum Technology — "The quantum technology job market: data-driven analysis of 3,641 job posts" (March 2026) — Lewandowski's peer-reviewed paper on the quantum job market, the most rigorous published treatment of the data underlying qubitsok.2026 Quantum Computing Salary Report — Analysis of 194 salary data points drawn from real job postings; a useful benchmark for researchers and hiring managers alike.Fastest-Growing Quantum Skills 2026 — Lewandowski's analysis of 1,212 quantum jobs and 14,975 papers identifying which technical skills are accelerating and which are declining in the labor market.Tools & Platformsqubitsok.com/jobs — Live quantum job listings, filtered by the platform's 500-tag ontology.qubitsok.com/region/europe — Live European quantum jobs market data, useful context for the EU talent and salary discussion.qubitsok.com/hire — Information for companies looking to use qubitsok's candidate database and, soon, the qubie matching tool.RecognitionDr. Bob Sutor's "Quantum Follow Friday" (February 27, 2026) — Sutor Group newsletter highlighting Lewandowski as a key quantum community voice worth following; useful context for his growing recognition as an independent analyst.Key Quotes & InsightsOn why the published record is a better hiring signal than a LinkedIn profile: > "Research gives you this unique lens to see people's work before you talk to them. You can be really prepared, and this helps on two sides — you talk to people actually capable of filling the role, and you're not wasting their time asking questions they already answered via their published work."On what brain-drain data actually shows: > "The biggest country that gained quantum computing talent in the last twenty-four months is Germany — which is not something someone could expect. And the biggest countries getting brain-drained are, interestingly, the United States."Insight — on the soul-crushing reality of quantum sourcing: Lewandowski's first job in college was sourcing — going through profiles with pen and paper, making cold calls that nobody wanted to receive. His argument is that quantum hiring doesn't have to work that way, because the evidence of what a researcher can do is already public. The problem has never been a lack of signal; it's been a lack of infrastructure to read it.On the rising share of industry authorship: Industry-affiliated authors have grown from roughly 3.4% of quant-ph papers in 2005 to nearly 14% in 2026 — a structural shift in who is producing the science, with implications for what gets published and what gets quietly redirected into proprietary pipelines.Insight — on the limits of the data: Lewandowski is consistently careful about w...

This is our weekly compilation of science news.00:00 - Quantum Computing Failure Now Obvious5:31 - Some UAPs Might Be Warp Drives, Physicists Say

What happens when you combine frontier AI, agentic systems, and quantum computing?In this episode of NEXT with John Koetsier, we chat with Mykola Maksymenko, co-founder and CTO of Haiqu, about how AI agents are dramatically accelerating quantum research and potentially scientific discovery as a whole.Maksymenko shares how an AI system was able to reconstruct months of his own PhD research in a fraction of the time, even identifying a bug in one of his formulas. He also discusses experiments involving genomics, molecular simulation, quantum chemistry, and condensed matter physics.The bigger question: do we really need to wait for fault-tolerant quantum computers with hundreds or thousands of logical qubits before quantum computing becomes useful?Maksymenko argues that useful quantum applications are already emerging today, particularly when AI agents help scientists discover algorithms, orchestrate workflows, and handle the complexity of working with noisy quantum hardware.We also explore the risks of increasingly capable AI systems, scientific guardrails, quantum utility versus quantum supremacy, and what happens when researchers can test ideas in a weekend that previously might have required months or years.Topics include:• Agentic AI for scientific research• Quantum utility vs. quantum supremacy• AI-assisted genomics• Quantum chemistry and molecular dynamics• Automating quantum software workflows• AI as a scientific collaborator and educator• The risks and guardrails of frontier AI• Why scientific discovery could accelerate dramatically00:00 — “I think AGI is here” 00:40 — Meet Mykola Maksymenko 01:01 — Why a quantum physicist started experimenting with genomics 02:18 — Reproducing years of research with AI and quantum computing 03:07 — The convergence of AI, agents, and quantum computers 04:26 — Are we entering the singularity? 04:45 — AI reconstructs six months of PhD research 05:28 — The risks of AI-assisted genomics and scientific discovery 06:46 — Pandora's box and the race for frontier AI 07:02 — What researchers are doing with the technology now 08:29 — Can quantum computers already do useful work? 09:21 — From quantum supremacy to quantum utility 11:06 — Molecular dynamics and quantum chemistry 12:12 — The minimum viable product of quantum computing 13:00 — Why Haiku moved deeper into agentic AI 13:30 — How much faster can AI make scientific research? 15:47 — AI as a scientist's educator and collaborator 16:51 — Running research experiments over a weekend 17:16 — What happens next for AI + quantum computing 17:38 — How AI agents operate quantum computers 18:59 — Closing thoughts

AI data centers are popping up across America, draining massive amounts of electricity and water while communities are being told it's all necessary so we can beat China in the artificial intelligence arms race. I joined The Matt Gaetz Show to break down what's actually true, what's being exaggerated, and why two things can be true at the same time: China has every incentive to influence the debate over American AI development, and Americans have very legitimate reasons to question giant data centers showing up in their communities. We get into skyrocketing power bills, natural resources, centralized technological power, the national security argument for AI, whether “China!” is becoming an excuse to fast-track everything without scrutiny, and Elon Musk's rather convenient solution of eventually putting data centers on the backside of the moon. Because apparently when Big Tech runs out of your electricity and water, space is the next logical victim.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

Today, with Mitch Horowitz, we dive into the occult origins of America and the hidden influence of secret societies throughout history. From the alchemical pursuits of Isaac Newton and Abraham Lincoln's White House seances to the psychic phenomenon of telepathy and the multiverse of quantum computing, we explore how ancient traditions and ritual magic continue to shape our modern world. Welcome to Camp!

Richard Entrup is unusual in quantum circles: he's not a physicist, and he doesn't pretend to be. He spent decades as a CIO, CTO, CDO, and CISO at organizations including Verizon, Christie's, Disney/ABC, Time Warner, and Tiffany & Company before joining KPMG to lead its Emerging Solutions practice. That background — deep operational experience on the client side — shapes everything about how he thinks about quantum. He's not selling a hardware roadmap; he's thinking about what it actually takes to get a large, complex organization to change its cryptographic infrastructure before a threat materializes.The conversation matters now because the signals are accelerating. NIST has finalized its first post-quantum cryptography standards, executive orders in the US are pushing federal agencies toward PQC migration, and the algorithmic efficiency gains that reduce the qubit threshold for breaking RSA-2048 keep coming. Listeners who work in enterprise technology, cybersecurity, or quantum strategy — or who advise organizations that do — will find Entrup's practitioner perspective a useful counterweight to the more hardware-focused conversations that dominate the field.What We Get IntoWhy Q-Day's exact date is the wrong question — and why the more important issue is how long it will take enterprises to even inventory their cryptographic exposure, let alone remediate itThe scale of the cryptographic migration problem, including why a single laptop may contain hundreds of individual cryptographic components and why upstream/downstream API dependencies make this a supply-chain-wide challenge, not just an internal IT projectWhy "harvest now, decrypt later" creates urgency today, regardless of when fault-tolerant quantum computers arrive — and how compliance and regulatory timelines interact with that threat modelWhat crypto agility actually means in practice — moving from a "set it and forget it" cryptographic posture to a dynamic, continuously monitored framework, including the pressure SSL certificate renewal windows are already creatingHow KPMG built its PQC practice, incubated it within the firm, and handed it off to the cybersecurity advisory team as a core service offeringThe "good quantum" side of the ledger — how KPMG's emerging research function is approaching quantum computing as a source of competitive advantage, not just risk, and what sectors are furthest along in exploring itThe AI-quantum convergence, including Entrup's observation that AI is already being used to read and crack code — and what that means for the urgency of cryptographic modernizationWhy the enterprise quantum opportunity still has a long tail, and how the current moment compares to the early infrastructure phase of the internet — when everyone was talking about TCP/IP and DNS, not Uber or NetflixResources & LinksGuest & OrganizationRichard Entrup — Worth Magazine Profile — Career arc from CIO/CISO roles at major global brands to KPMG's Emerging Solutions practiceKPMG Quantum Dawn (2025) — KPMG's enterprise quantum readiness hub, introducing the Q-PREP framework and PQC implementation services, with Entrup as named leadReports & ResearchKPMG — "The Quantum Threat Is No Longer Theoretical" (2026) — The threat brief discussed in this episode, charting the rapid decline in qubits needed to crack RSA-2048 and urging immediate PQC migrationKPMG — "From Theory to Impact: Real-World Results in Quantum Machine Learning" (2026) — KPMG's joint report with IBM and Kipu Quantum on measurable quantum ML results on real hardwareKPMG — "Prepare Now for Quantum Cyber Risk" — Board Leadership Article (2026) — C-suite and board-level guidance on integrating quantum risk into enterprise oversightarXiv — "Quantum-enhanced satellite image classification" (2026) — The underlying research paper behind the KPMG/IBM/Kipu Quantum ML resultsEcosystem & EventsChicago Quantum Exchange — KPMG Joins CQE (October 2024) — Announcement of KPMG's formal CQE membership, referenced in the episode as part of the firm's ecosystem-building strategyKPMG 2026 Quantum Consortium — The inaugural KPMG Quantum Consortium event (March 2026, Orlando) discussed in the episodeIndependent CoverageQuantum Computing Report — KPMG joins Chicago Quantum Exchange (2024) — Independent coverage of KPMG's CQE partnership and enterprise quantum strategyQuantum Zeitgeist — Kipu Quantum satellite imagery coverage (Feb 2026) — Independent analysis of the KPMG/IBM/Kipu hybrid QML resultsKey Quotes & Insights> "It's not if but when. And it could be five years, could be three years, could be ten years. The fact is organizations are not gonna be ready. And that's the scary part." — Richard Entrup on Q-Day> "This is not just the CISO. This is gonna be the software engineering app dev guys. This is gonna be all your partners, upstream and downstream, who have to also be compliant — because if you change your crypto and they don't, that stuff's gonna break." — On why PQC migration is an enterprise-wide, supply-chain-wide problemInsight: Entrup draws a sharp distinction between the "bad quantum" (cryptographic risk requiring urgent defensive action) and the "good quantum" (competitive opportunity with a longer tail) — and argues that most organizations aren't adequately addressing either.Insight: The analogy to the early internet is deliberate: just as the 1990s were consumed with TCP/IP and DNS rather than the applications those protocols would eventually enable, the current quantum moment is still largely an infrastructure conversation — and that's normal, not a sign of failure.> "AI is expediting all of this. If AI is doing one thing, the use case is reading code and cracking it. That's pretty scary." — On the intersection of AI capability and cryptographic vulnerabilityRelated EpisodesEp. 81 — Quantum LDPC Error Correction with Larry Cohen and Paul Webster — Directly relevant: Cohen and Webster discuss how QLDPC error correction reduces the qubit overhead needed for RSA cryptanalysis, the technical underpinning of the threat timeline Entrup describesEp. 38 — Quantum Machine Learning with Jessic...

Merryn Somerset Webb talks to Daniel Doll-Steinberg, Co-Founder & Partner at EdenBase, an investment firm that invests in quantum computing, about why the next great technological leap may arrive sooner than investors expect. They explore how quantum could transform drug discovery, finance and encryption. They also look at how investors can get meaningful exposure to the quantum boom, what “Q-Day” really means for Bitcoin, and why understanding philosophy goes hand-in-hand with understanding quantum. See omnystudio.com/listener for privacy information.

What does the roadmap to a "Viksit Bharat 2047" look like from the very top?

Bill and Darrell discuss recent quantum computing breakthroughs. They also discuss what it'll do. Medical discussion ensues. The AI data centers distract them again and they go on about the closed loop fallacy. 

BlackBerry may be best known for its QWERTY-keyboard smartphones, but the company today is building its next chapter around software for cars, robots and secure communications. BlackBerry CEO John Giamatteo joins CNBC's Arjun Kharpal to explain how the company has reinvented itself around QNX, BlackBerry's operating system used in software-defined vehicles. He discusses why BlackBerry sees physical AI as a major growth opportunity, from autonomous vehicles and warehouse robots to surgical systems and industrial automation. As more machines become connected, Giamatteo argues that safety-certified software will become increasingly important. The conversation also covers how AI is changing the cybersecurity threat landscape, why Giamatteo sees governments' use of consumer messaging apps as a security risk, and how BlackBerry is adapting its encryption technology as threats from AI and quantum computing evolve. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Scientific Sense ® by Gill Eapen: Prof. Mark Hersam is Professor and Chair of Materials Science and Engineering at Northwestern University.The Hersam Research Group specializes in the synthesis, purification, functionalization, and application of low-dimensional nanoelectronic materials. Please subscribe to this channel:https://www.youtube.com/c/ScientificSense?sub_confirmation=1

In der heutigen Folge sprechen die Finanzjournalisten Nando Sommerfeldt und Holger Zschäpitz über das Aschenbrenner-Paradoxon, die Zeitenwende bei Geely und eine AAA-Idee, die keine Auto-Aktie ist. Außerdem geht es um S&P Global, Sandisk, Micron Technology, Bloom Energy, TSMC, Nebius Group, CoreWeave, STMicroelectronics, Applied Digital, Riot Platforms, SharonAI Holdings, ServiceNow, Autodesk, Adobe, Elastic, Shopify, Workday, Quantum Computing, Ondas Holdings, indie Semiconductor, SoundHound AI, Centrus Energy, SpaceX, Nvidia, OHB, Airbus, Geely Automobile Holdings, Strategy, Tesla, Home Depot, Baidu, Klarna, Xiaomi, Pony AI, Keysight Technologies, SK Hynix, Intel, Redeia, Schroders, Daimler Truck, Mercedes-Benz Group, Porsche AG, Global X Data Center REITs & Digital Infrastructure (WKN: A2QPB0), First Trust Nasdaq Clean Edge Smart Grid Infrastructure (WKN: A3DGK5), Global X European Infrastructure Development (WKN: A40E7B), iShares Global Infrastructure (WKN: A0LEW9), BNP Paribas Easy ECPI Global ESG Infrastructure (WKN: A3EWYS), SPDR Morningstar Multi-Asset Global Infrastructure (WKN: A12EAR). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Thaddeus Ladd has spent seventeen years at HRL as the theoretical anchor of its silicon spin qubit program — co-authoring the 2023 Nature paper that demonstrated universal logic with encoded spin qubits, and contributing to the 2026 QPU paper that integrated qubits, a cryo-CMOS controller, and a new superconducting ribbon cable into a single digitally controlled system. He is not a commentator on this acquisition; he is one of the people whose work made it happen.The conversation is recorded eleven days after IBM announced a definitive agreement to acquire HRL from Boeing and General Motors — a deal that has not yet closed. That timing makes this one of the few technically grounded, insider-adjacent conversations available about what IBM is actually buying, why the exchange-only spin qubit architecture is strategically distinctive, and what the combination of HRL's research culture with IBM's fabrication ambitions could produce. Listeners who follow quantum hardware, quantum computing strategy, or the evolution of industrial research labs will find this episode unusually substantive.What We Get IntoWhy the 2026 QPU paper is a systems story, not just a fidelity story — the qubit chip, the cryo-CMOS controller operating at four Kelvin, and the new superconducting ribbon cable are all part of one integrated QPU, and that framing is central to understanding what IBM acquired.What "exchange-only" actually means — why using only voltage-controlled exchange interactions (no microwaves, no local oscillators, no phase tracking during idle) is both a technical constraint and a significant engineering advantage for scaling.Why the jump from six dots to fifty-four dots happened so fast — and what was happening in HRL's fabrication program that wasn't being published.What EUV lithography has to do with spin qubit scaling — and why the connection between HRL's process and IBM's Anderon 300 mm quantum foundry is one of the clearest pieces of strategic logic in the acquisition announcement.How HRL's cryo-CMOS work could benefit IBM's superconducting program — and why the control-and-interconnect bottleneck is a shared problem across modalities, not a spin-qubit-specific one.The "chandelier" reframe — Thaddeus's argument that the cables, filters, and control electronics surrounding a superconducting qubit chip are not overhead; they are part of the QPU, and understanding that changes how you read the HRL acquisition.Which modality Thaddeus thinks will reach commercially useful scale first — and why he still believes spin qubits are the long-term answer, using an analogy to vacuum tubes and silicon microprocessors that is worth hearing in full.What the acquisition means for HRL as an institution — the context of lost program funding, the December 2025 Q2B meeting, and what it means for a defense-oriented industrial research lab to find a commercial path through IBM.Resources & LinksGuestThaddeus D. Ladd — Personal Website & Publications — Self-curated, annotated bibliography; the best single source for his research arc across spin qubits and quantum communication.Thaddeus Ladd — Hertz Foundation Profile — Biographical overview of his career and role at HRL.Thaddeus D. Ladd — Google Scholar — Full citation record.Papers & ArticlesA Digitally Controlled Silicon Quantum Processing Unit — arXiv (April 2026) — The QPU paper discussed at length in this episode: 54-dot device, cryo-CMOS controller at 4 K, superconducting ribbon cable, and error correction experiments — all working as one integrated system.Universal Logic with Encoded Spin Qubits in Silicon — Nature (2023) — The landmark result demonstrating universal logic with exchange-only encoded qubits; Ladd was co-author and lead theorist.Two-Dimensional Si Spin Qubit Arrays with Multilevel Interconnects — PRX Quantum (2025) — Scalable 2D spin-qubit arrays achieving greater than 99.9% single-qubit gate fidelity; the step between the 2023 and 2026 results.Silicon Encoded Spin Qubits Achieve Universality — HRL (2023) — HRL's public announcement of the Nature result; accessible summary for non-specialists.Semiconductor Spin Qubits: The Certainty of Progress — HRL (December 2025) — HRL's public framing of the platform's trajectory, published shortly before the Q2B meeting where Sebastian and Thaddeus first met.Acquisition & IBM StrategyIBM to Acquire HRL Laboratories — IBM Newsroom (July 23, 2026) — The definitive transaction announcement; names the full scope of what IBM says it is acquiring.IBM to Acquire HRL Laboratories — HRL Laboratories (July 23, 2026) — HRL's concise confirmation of the deal and the beginning of regulatory review.What Are Spin Qubits? — IBM Quantum (July 23, 2026) — IBM's technical explanation of HRL's Si/SiGe exchange-only qubits and the shared silicon fabrication argument.A Brief History of HRL Laboratories — IBM Research (July 23, 2026) — IBM's institutional framing of HRL, including its history with the laser, self-aligned-gate MOS fabrication, and the 2026 spin-qubit QPU.IBM and U.S. Department of Commerce Announce Anderon Quantum Foundry (May 21, 2026) — The 300 mm quantum foundry announcement that Thaddeus identifies as one of the clearest pieces of strategic logic behind the HRL acquisition.IBM Commits More Than $10 Billion to Quantum Computing (June 2, 2026) — Capital context for the acquisition: R&D, manufacturing scale-up, M&A, and ecosystem investment over five years.Tools & PlatformsspinQICK — GitHub — HRL's open-source FPGA-based spin-qubit control toolkit; a concrete artifact of HRL's approach to open tooling.HRL Launches Open-Source spinQICK — HRL (July 2025) — Announcement and context for the spinQICK release.HRL Quantum — Collection of HRL quantum research, talks, and news.Organizations

https://traffic.libsyn.com/secure/bizpod/BEN62-Quantum-Computing.mp3 In this Business English News lesson on quantum computing, we look at business English vocabulary related to technology. Quantum computing is emerging as a promising technology alongside AI. Unlike traditional computers, quantum computers use qubits, which can exist in multiple states at once. This allows them to solve certain complex problems much faster. The technology is still developing, but investment is growing. The global quantum computing market is expected to increase from $700 million in 2026 to $1.7 billion by 2033. Several quantum computing companies have also entered, or are preparing to enter, public markets. A major challenge has been errors that can destroy fragile quantum states. Recent progress in quantum error correction has helped researchers reduce these errors and move closer to reliable, large-scale quantum computers. This could make applications such as advanced materials and drug research more practical. However, businesses should be careful about the hype. Quantum computing is unlikely to replace traditional computers or AI. Instead, experts expect hybrid systems that combine quantum computers with classical computing and AI. Potential applications include drug discovery, financial optimization, supply-chain planning, and energy-grid modeling. Although progress is encouraging, commercial success is not guaranteed. The technology remains at an early stage, and companies themselves acknowledge that large-scale commercial use may still be many years away. Free Resources: PDF Transcript | Quizzes | Lesson Module Download: Podcast MP3>>> The post Business English News 62 – Quantum Computing first appeared on Business English Pod :: Learn Business English Online.

Post-quantum cryptography was in conversation after conversation at Black Hat USA 2026, yet Larry Lunetta of HPE walked part of the show floor and counted a single reference to quantum. Where the topic shows up, and where it does not, says something about who is expected to solve it. Why does a problem described in 1994 matter now? Larry Lunetta points to Peter Shor, who asked what would happen to RSA if a different kind of computing technology existed. What changed since then is the trajectory. Five years ago cryptographically relevant quantum computing looked like a 10 to 15 year phenomenon. Larry Lunetta now puts it as soon as three years out, with the original algorithm improved, qubit hardware advancing, and classical supercomputing pulling the timeline in alongside it. The exposure starts before any of that arrives. Larry Lunetta describes harvest now, decrypt later, where an attacker collects RSA-encrypted data today and waits for the machine that can open it. Data that carries no consequence when it leaks this year can be read later, which puts long-lived information like identity records and medical data at the front of the queue rather than in a later phase. HPE puts a three part journey in front of customers. Cryptographically aware asks which data is most sensitive, where it lives, and whether it is protected sufficiently. Cryptographically planning reaches into the refresh cycle, so that new network, server, and storage purchases already implement PQC-relevant algorithms. Cryptographically nimble accounts for the fact that no cryptographically relevant quantum computer exists to test against yet, which makes the ability to change algorithms and firmware quickly part of the design. Who owns the conversation inside the business? Larry Lunetta puts the CISO at the center of gravity, with CIOs becoming aware and boards engaged where GDPR governs customer and private information. His advice for security leaders is to broaden the conversation toward infrastructure and operations, and to make encryption and PQC readiness a question asked during procurement rather than after it. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST Larry Lunetta, Vice President, Portfolio Technical Marketing at HPE On LinkedIn: https://www.linkedin.com/in/larryathpe/ RESOURCES Black Hat USA 2026 event coverage: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas HPE: https://www.hpe.com Post-Quantum Cryptography overview: https://www.hpe.com/us/en/what-is/post-quantum-cryptography.html HPE technology leadership in quantum: https://www.hpe.com/us/en/about/technology-leadership-quantum.html Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS larry lunetta, hpe, sean martin, brand briefing, brand story, brand marketing, marketing podcast, black hat usa 2026, post-quantum cryptography, pqc, quantum computing, harvest now decrypt later, rsa encryption, cryptographic agility, ciso, crypto agility, nist post-quantum standards, it infrastructure security, encryption, data protection Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What does it take to lead at the absolute edge of technological innovation?

Quantum computing is roughly where AI was nine years ago. Dr. Nneka McGee has already taught it to five-year-olds — with a penny. Nneka is the founder of Muon Global, project lead and principal co-author of the Stanford Accelerator for Learning white paper "AI + Learning Differences," and the author of an ISTE Jump Start Guide on introducing AI to young learners. Her FETC session on quantum for educators is what convinced me this belonged on the show. Her argument is simple and hard to dodge: the technologies that will shape our students' careers are being built right now, states are investing hundreds of millions of dollars in them, and we are sending kids to college without the grounding to take those seats. As she puts it — there will be a breakthrough technology like ChatGPT in quantum at some point, and where will we be as educators if we didn't do what was necessary? Then she gets practical. You'll hear how she teaches superposition, entanglement, and coherence with materials already in your desk drawer. You'll hear about the plate with no nose — an image generator's mistake she turned into a full lesson on why AI still needs a human in the loop. And you'll hear about my own ninth grader, who worked out on her own that attackers could capture encrypted traffic today and decrypt it years from now once quantum arrives. That's a real, named threat, and she nailed it. In this episode: - Why quantum won't replace classical computing, and the problem it's actually built for - The encryption math that makes today's passwords a temporary arrangement - "The nerds before the herds" — the 2022 ISTE room with empty seats - Teaching quantum concepts to four- and five-year-olds - Why the awareness gap is the opportunity, not the obstacle Full show notes, every resource, and free unplugged activities you can use this week: https://www.coolcatteacher.com/e967  ⭐ If this show helps you teach, please leave a rating or review wherever you're listening. It's the single best way to help another teacher find us — and it takes about thirty seconds. Share this one with the teacher down the hall who thinks quantum is over their head. It takes a penny to prove otherwise.

Aaron Kemp sits at an unusual intersection. He holds a doctorate in cybersecurity, spent years in DoD classified environments running SCI and SAP facilities, and now leads KPMG's quantum research practice — where he's a co-author on a recent hybrid QML paper with Kipu Quantum and IBM. He's also the lead author of KPMG's Q-PREP framework, which pushes enterprises to treat post-quantum cryptography migration as an operational risk problem right now.If you've wondered how quantum actually lands inside a Fortune 200 boardroom — not the hype cycle version, but the "what do you actually tell the CFO" version — this episode maps that territory honestly. It's also useful listening if you're trying to understand the emerging talent gap, why the quiet in enterprise research publications may itself be a signal, and how a firm known for audit and advisory ends up doing multispectral analysis of chestnut trees on IBM quantum processors.What We Get IntoWhy KPMG split quantum into distinct practices — PQC, sensing, optimization, and research — and what that structural choice signals about market timingHow a PBS documentary about the American chestnut tree led to a peer-reviewed quantum ML paper with Kipu Quantum and IBMThe honest case for a 3% accuracy gain over classical ResNet-50 baselines — and why Aaron treats it as a positive-sum signal rather than a victory lapWhy "what makes a good quantum problem" remains the most important question in the field, and how KPMG's client base shapes their answerThe seven-step Q-PREP framework for post-quantum cryptography readiness, and why step one — knowing what you actually have — is the hardest stepHow data-centric thinking (not cryptography-centric thinking) reframes the PQC migration challengeWhy the quiet in enterprise research publications from major financial institutions may itself be a market signalThe talent bottleneck: ~16,500 quantum researchers on the planet against a coming wave of enterprise demandHow AI tooling is compressing quantum research timelines, and what that means for who can enter the fieldWhy the compute stack of the next decade will be heterogeneous — quantum, neuromorphic, thermodynamic, and mechanical computing all coexistingResources & LinksGuest & OrganizationDr. Aaron Kemp — KPMG People Profile — Official bio covering Aaron's DoD/classified cybersecurity background and current role as US Quantum Leader.Papers & ResearcharXiv:2602.18350 — Quantum-enhanced satellite image classification — The peer-reviewed KPMG/Kipu Quantum/IBM paper Aaron co-authored, demonstrating hybrid quantum-classical accuracy gains on IBM processors.From Theory to Impact: Real-World Results in Quantum Machine Learning — KPMG's editorial summary of the satellite imagery research, framed for enterprise readers.From Theory to Impact — Full Technical Report (PDF) — The detailed technical companion walking through the hybrid pipeline step by step.PQC & Enterprise FrameworksQ-PREP: Seven Steps to Post-Quantum Cryptography Readiness (PDF) — KPMG's prescriptive PQC migration framework, with Aaron as lead author.The Quantum Threat Is No Longer Theoretical (PDF) — Aaron's board-level brief on Q-Day urgency.Prepare Now for Quantum Cyber Risk (KPMG Board Leadership Center) — Aaron's article for corporate directors, originally in NACD Directorship Online.Related Coverage & CommentaryKipu Quantum: Quantum-Enhanced AI Deployable in Production — Announcement of the production framework that removes quantum hardware from the inference loop; Aaron quoted as enterprise champion.KPMG's Seven Steps Build Quantum Resilience for Businesses (Quantum Zeitgeist) — Third-party coverage of Q-PREP.A Framework Can Tell You What to Do. It Cannot Tell You What You Have. (Qtonic Substack) — A critical response arguing that advisory frameworks don't solve the underlying cryptographic inventory problem — useful counterpoint reading.Key Quotes & InsightsOn the 3% accuracy gain: "It's a positive game… we did a 12–15 week sprint, and to at least meet classical was our goal when we started. So when we actually did get three percent, it was repeatable. That was, to me, okay — there's something there."On the real PQC problem: "We don't have a cryptographic problem. We have a data problem. None of these organizations know where their data flows."On cybersecurity as a discipline: "Cybersecurity is probably the worst career field ever because perfect cybersecurity has no ROI — because nothing happens."On enterprise timing: Insight: Aaron frames the quiet in financial services quantum research publications as a market signal — organizations may have stopped sharing because they're moving from research toward competitive advantage.On the talent gap: "There's 16,500 quantum researchers on the planet… Fortune 200 will hire 16,000." A single tier of enterprise demand could exhaust the global talent pool.Related EpisodesEpisode 14: A Hybrid NISQ-Classical Solution Architecture with Harry Buhrman — Foundational thinking on hybrid quantum-classical architectures relevant to the Kipu/KPMG/IBM approach.Episode 38: Quantum Machine Learning with Jessica Pointing — A rigorous look at the tradeoffs and open questions in QML that frame Aaron's satellite imagery results.Episode 81: Quantum LDPC error correction with Larry Cohen and Paul Webster — Directly relevant to the compressing resource estimates for breaking RSA that shape PQC urgency.Episode 86: Quantum Advantage Achieved with Dominik Hangleiter — A theorist's careful framing of what advantage claims should and shouldn't mean.Episode 40: Integrating Quantum Computers and Classical Supercomputers with Martin Schultz — Useful context on the heterogeneous compute future Aaron and Sebastian discuss at the end of the episode.Stay in the EcosystemSubscribe on

Europe has no shortage of technology ideas or startups. Its challenge is turning them into global companies — and keeping more of its most successful businesses in Europe. Arm co-founder Hermann Hauser, who also co-founded Amadeus Capital, joins CNBC's Arjun Kharpal to explain why Europe struggles to scale its technology companies. He discusses the need for growth capital and experienced management to help European companies scale, as well as access to critical technologies if Europe is to avoid becoming what he calls a U.S. “technology colony.” The conversation also covers AI and quantum computing. Hauser explains why some AI valuations have moved ahead of the fundamentals, where AI's long-term value could be created and why quantum's encryption-breaking “Q Day” could arrive as early as 2029. Hauser also examines new chip architectures designed to reduce AI's energy demands and recounts Arm's early history and its relationship with Apple. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Join Dick Morris and Dick Dipierro as they discuss the future of quantum computers, Trump's ideas to change birthright citizenship and more on WABC.

What does it take to move quantum computing from the lab to the enterprise? Join this episode of DMRadio to hear host Eric Kavanagh interview Yuval Boger, Chief Commercial Officer at QuEra Computing. Learn how the industry is shifting its focus from scientific milestones to solving real business challenges - from discovering new materials to optimizing supply chains - and what that means for the future of quantum.

Cybersecurity has become one of the most pressing challenges facing the Defense Industrial Base. As advanced cyber threats, next-generation technologies, and evolving digital warfare reshape the security landscape, organizations must move beyond traditional approaches and adopt new strategies to protect critical defense technologies, critical infrastructure, and supply chains.In this episode of Emerging Tech Horizons, Dr. Arun Seraphin speaks with Vince Chrysler, Chief Information Security Officer at Celerium, about the future of defense cybersecurity. They discuss how emerging cyber capabilities are changing both offensive and defensive operations, why community-based defense is emerging as a powerful model for protecting the Defense Industrial Base, and how organizations can prepare for the next generation of cyber threats.Key topics include:How machine-speed technologies are transforming cyber attacks and cyber defense, and why organizations must rethink cybersecurity at machine speed.Why community-based defense can help protect small and medium-sized defense contractors while strengthening the entire Defense Industrial Base.The cybersecurity implications of next-generation computing technologies and why organizations should begin preparing for post-quantum cryptography today.How automation and advanced analytics are reshaping the cybersecurity workforce by reducing repetitive work, improving threat analysis, and empowering professionals to focus on higher-value missions.NDIA Emerging Technologies Institute: https://www.ndiaeti.orgNDIA Emerging Technologies Conference: https://www.ndiatechexpo.orgBe sure to follow us on social media for updates, early access to upcoming events, inside scoops, & more:LinkedIn: https://bit.ly/4htROo0Twitter: https://bit.ly/48LHAx3Facebook: https://bit.ly/47vlht8And for more podcasts, articles, & publications covering all things emerging tech, visit: ndiaeti.org#Cybersecurity #ArtificialIntelligence #QuantumComputing #DefenseIndustrialBase #EmergingTechnology

Barak Bussel is one of the few people operating simultaneously at three levels of the quantum stack: deploying private capital into hardware and software companies through 7i Capital, chairing the strategic board of a major university quantum center, and helping stand up the physical infrastructure — a 700,000 square foot research park on the site of the former Westside Pavilion — meant to convene academia, industry, national labs, and startups in one place. He is also a physicist by training, which changes the kind of diligence questions he asks.We recorded this at the KPMG Tech and Innovation Symposium in Deer Valley, only weeks after the most consequential stretch of quantum news in years: Oratomic's $300M Series A (the largest first institutional round in quantum history, with 7i in the syndicate), a Google Quantum AI paper cutting Shor's algorithm resource estimates to around 500,000 physical qubits on superconducting hardware, and two June 2026 White House executive orders on quantum innovation and post-quantum cryptography. If you want to understand how a serious investor is actually pricing risk, timelines, and ecosystem-building in this moment, this is the conversation.What We Get IntoWhy 7i backed Oratomic's aggressive "no intermediate product, straight to fault tolerance" strategy, and how Barak thinks about betting on teams versus theses in deep techHow recent architecture and QLDPC error correction advances have compressed physical-to-logical qubit ratios, and what that means for near-term resource estimates for Shor's algorithmWhy a lesser-noticed April 2026 Google Quantum AI paper on quantum-assisted memory reduction for classical AI workloads may matter as much as the Shor's-focused headlinesWhat "patient capital" actually looks like when a connector problem eats two years of a portfolio company's roadmapThe Bell Labs template as a serious operating model for the UCLA Research Park: convening academia, industry, government, and startups in a single physical footprintThe historical resonance of UCLA sending the first ARPANET packet in 1969 and what that suggests about where quantum networking work should be anchoredHow Kedma's error mitigation work with IBM's Heron II and RIKEN pushed a 51-qubit Ising model simulation to the edge of what's classically tractableHow Barak reads the June 2026 executive orders and the federal role — enabling infrastructure rather than picking winners — against the scale of Chinese government fundingResources & LinksGuest & OrganizationsBarak Bussel bio — UCLA CQSE Strategic Board — Official page covering Barak's role as Board Chair and his physics and venture background.7i Capital — Barak's deep tech venture firm, investing across quantum, AI, semiconductors, cybersecurity, robotics, clean energy, and space.UCLA Center for Quantum Science and Engineering (CQSE) — The multidisciplinary center Barak chairs, spanning physics and engineering research.Barak Bussel on LinkedIn — Where Barak has publicly flagged the Oratomic investment and the June 2026 executive orders.The Oratomic Round and Recent BreakthroughsOratomic raises $300M Series A — The Quantum Insider — Confirms 7i Capital in the syndicate for the largest-ever first institutional round in quantum computing.Oratomic Series A deep dive — Quantum Computing Report — Technical breakdown of the reconfigurable neutral-atom architecture and full investor syndicate.Oratomic's "no intermediate product" strategy — MLQ.ai — Analysis of Oratomic's bet against the QuEra/Pasqal early-revenue playbook.QEDMA raises $26M Series A — Quantum Zeitgeist — 7i portfolio company Kedma's error mitigation round with IBM participation, referenced in Barak's Ising model results.Policy and Market ContextWhite House EO: "Ushering in the Next Frontier of Quantum Innovation" — One of the two June 22, 2026 executive orders Barak discusses.Sidley Austin analysis of the June 2026 quantum EOs — Legal explainer covering both the innovation EO and the post-quantum cryptography mandate.Cloudflare on the accelerated post-quantum timeline — Notes that Q-Day estimates have moved in response to Google and Oratomic breakthroughs.PitchBook Q2 2026 Quantum Computing Funding Report — Record 2025 VC totals and Q1 2026 liquidity data relevant to Barak's exit thesis.UCLA Research Park and Regional EcosystemUCLA launches SoCal Quantum Alliance — The regional coalition Barak references, with founding members including Caltech, JPL, Boeing, IBM, and Cisco.Quantum Innovation Hub at the UCLA Research Park — Preview of the 40,000 square foot lab space and the broader research park vision Barak describes.Quantum Innovation Hub Director appointment — Prof. Jason Petta named to lead the QIH, one of the founding anchors of the research park.Key Quotes & InsightsOn patient capital in hardware: "You're producing a new chip… all of a sudden a year and a half has passed." Barak's example of a photonics company that spent two years solving a flex connector problem is a useful ground truth for anyone modeling quantum hardware timelines.On the role of universities: Industry has scale — the ability to throw 500 engineers at a problem. Academia brings "the quiet depth to think very deeply about a problem over an extended period of time, two or three generations ahead."On resource estimates: The gap between the original 20-million-qubit Shor's estimates and the recent Google Quantum AI paper suggesting ~500,000 physical qubits on superconducting hardware, plus Oratomic's neutral-atom approach at the ten-thousand-qubit scale, represents a genuine compression of the fault-tolerance horizon.On the underappreciated Google paper: An April 8 paper on using quantum processors to reduce memory requirements for massive classical data sets is, in Barak's view, the first rigorous demonstration that quantum could bend the exponential curve of AI compute demand.On government's role: "Typically in the U.S., government is not the best at picking the winners and losers in the marketplace. But it's great at enabling." The El Segund...

Elizabeth April, remote viewer and consciousness guide, reveals that our biggest barrier isn't external control—but giving away our attention to fear-based frequencies. The shadow government, synthetic frequencies, and CERN are distractions. True power comes from reclaiming your focus and choosing neutrality over emotional reaction.From remote viewing Jesus as a golden energy web to exposing the 2026 World Cup as a rigged battle between light and dark factions, Elizabeth shows why humanity is now at a tipping point. Stop feeding fear—start creating consciously. Your attention is the currency of life, and where you place it builds your reality.We explore CERN's timeline collapse, the split between old and new earth, 5D ascension, extraterrestrial DNA, and why chaos is the perfect frequency for manifestation.The new earth is waiting in your sovereign choice. Will you keep reacting to the puppet show—or finally step into your role as the creator?___

Stay informed on current events, visit www.NaturalNews.com  - Interview with Michael Yon and Steve Murray (0:10) - Matt Bracken's Military Insights (3:19) - Iran's Military Capabilities and U.S. Vulnerabilities (6:48) - U.S. Military Strategy and Retreat (11:49) - Economic and Geopolitical Implications (31:17) - Fauci's Role in the COVID-19 Pandemic (34:22) - The Depopulation Agenda and Vaccine Dangers (55:22) - The Future of AI and Quantum Computing (58:21) - Oil Market Manipulation and Geopolitical Tensions (1:11:32) - China's Strategic Moves and Energy Independence (1:16:22) - Naval Lasers and Energy Generation (1:19:05) - Future of Warfare and Military Needs (1:22:46) - Advancements in Military Technology (1:26:40) - Economic and Strategic Implications (1:31:16) - Geopolitical Tensions and Strategic Moves (1:36:06) - Nuclear War and Global Consequences (1:42:21) - Economic and Social Impact of Conflict (2:03:11) - Turkey's Role and Future Scenarios (2:03:24) - Predictive Analysis and Historical Parallels (2:05:00) - Final Thoughts and Recommendations (2:09:58) 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:

Plus: IBM says new research shows quantum computers can outperform conventional ones. And investors and analysts are awaiting Amazon's latest earnings. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week on Swimming with Allocators, returning guest Chris Schelling of Aksia joins Earnest Sweat and Alexa Binns to unpack how AI, private markets, and the wealth channel are evolving. They discuss where AI may already be in bubble territory, how it's reshaping SaaS, services, and investment processes (including AI “agents” on investment committees), and why some SaaS and low-value information services are most at risk. Chris explains Aksia research-driven approach across private equity, private credit, real assets, and hedge funds, and shares why he's skeptical of layered SPV “sandwiches” and headline-driven fear around private credit. The conversation explores the democratization of alternatives for wealthy clients, the role of content as a strategic edge for allocators, challenges in structuring venture access products, and why early-stage technical venture and quantum computing are compelling. Chris closes with advice for newer professionals: in a world of AI tools, differentiated relationships, networks, and deep domain expertise matter more than ever. Also, Nick Cassin explains how Sidley's secondary practice spans multiple asset classes and deal types, highlights the growing role of secondaries in venture (including GP‑leds and LP trades), and shares how Sidley's breadth, commercial mindset, and experience help clients navigate complex liquidity and continuation vehicle structures. Highlights from this week's conversation include: Chris Schelling Returns & Aksia Career Move (0:13) Why To Be Skeptical of AI Valuations & Bubbles (2:26) How AI Is Reshaping SaaS, Services, and Credit (6:48) Using AI for Diligence, Memos, and Investment Committees (11:29) Behavioral Coaching and Training Analysts With AI (15:06) SPVs, SPV “Sandwiches,” and 2008-Style Layering Risk (19:58) Checklist Ideas for Evaluating SPVs and Access Claims (29:24) How Mega RIAs Are Building Private Markets Platforms (36:38) Strategic vs Tactical Allocations Across Private Markets (41:38) Product Diversity Needed Across RIAs and Client Segments (44:08) Segmenting Venture: Seed, Growth, and Late Stage Dynamics (47:52) Crystal Ball on Venture, Deep Tech, and Quantum Computing (49:39) Skills for Young Investors: Networks, Relationships, and Domain Expertise (54:22) Where To Read Chris's Research and Writing (55:13) Aksia is a global private markets investment advisory and research platform with deep expertise across private equity, private credit, real assets, and hedge funds. The firm advises institutional investors globally and also manages discretionary capital through customized funds-of-one, co-investment vehicles, fund-of-funds, and wealth-oriented private markets solutions. Aksia is known for its open architecture model, broad GP relationships, and rigorous diligence culture across alternative assets. Sidley Austin LLP is a premier global law firm with a dedicated Venture Funds practice, advising top venture capital firms, institutional investors, and private equity sponsors on fund formation, investment structuring, and regulatory compliance. With deep expertise across private markets, Sidley provides strategic legal counsel to help funds scale effectively. Learn more at sidley.com. Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies.  The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only. Learn more about your ad choices. Visit megaphone.fm/adchoices

Kate Timmerman is the CEO of the Chicago Quantum Exchange (CQE), and she is arguably one of the most consequential ecosystem builders in quantum today. Under her leadership, the CQE has grown from three founding institutions in 2017 to a coalition of more than 50 industry and academic partners, and the region has secured designation as a top global quantum ecosystem through The Bloch Quantum U.S. EDA Tech Hub and an NSF Regional Innovation Engine development award.If you care about how emerging deep-tech industries actually get built — the unglamorous work of coordinating universities, startups, national labs, small manufacturers, workforce agencies, and federal policy — this episode is a masterclass. It's especially valuable for listeners trying to understand how quantum moves from bespoke, hand-built prototypes to real industrial-scale production, and what that transition means for jobs, national security, and U.S. competitiveness.What We Get IntoWhy the CQE started 18 months before the National Quantum Initiative Act — and how that head start translated into winning multiple NQI research centers (SQMS, Q-NEXT, HQAN, and Q-NEXT-adjacent efforts)What the $55M Bloch Tech Hub award actually funds in the next 12 months, and why the money targets manufacturing rather than more researchThe severity of U.S. dependence on foreign and single-sourced quantum components — from nano-positioners to optics, photonics, and vacuum systems — and why that's slowing product delivery todayHow small and mid-sized Midwest manufacturers (in states that already rank top-10 in U.S. manufacturing) can pivot into the quantum supply chain without full re-toolingWhy the BCG projection of ~$80B in regional economic impact and up to 191,000 quantum jobs by 2035 is more credible when you understand the full supply-chain vision, not just quantum computer vendorsThe five pillars of the CQE's NSF-backed "Advancing Together" workforce strategy — awareness, preparation, mobility, employer leadership, and coordination — and why employers themselves often can't forecast their own hiring needsWhat the Quantum Law Navigator™ is actually for, who uses it, and why first-time quantum founders often don't know what "export control" means until it's too lateWhy Q2B is relocating its North America conference from Silicon Valley to Chicago in December 2026 — and what that signals about where the center of gravity is movingResources & LinksGuest & OrganizationKate Waimey Timmerman — Chicago Quantum Exchange ProfileChicago Quantum Exchange — About — Overview of CQE's 2026 milestones, member institutions, and program portfolioThe Bloch Quantum Tech Hub ($55M EDA Award)UChicago News — CQE-led Bloch Quantum Tech Hub raises $55 million — Primary announcement of the July 2026 EDA awardQuantum Computing Report — Bloch Quantum Tech Hub Secures $55M — Technical analysis of the award and its manufacturing focusThe Quantum Insider — Bloch Raises $55M — Coverage including corporate commitments from IBM, IonQ, and InfleqtionThe Quantum Insider — Bloch Advances in EDA Competition — Background on the tri-state coalition structure across Illinois, Wisconsin, and IndianaWorkforce & Economic DevelopmentHPCwire — CQE Releases Unified Strategy to Scale Midwest Quantum Workforce — Coverage of the NSF-backed "Advancing Together" report referenced in the conversationArgonne National Laboratory — Quantum Prairie Economic Symposium — Includes BCG's regional workforce and economic impact projectionsIllinois Economic Development Corporation — Kate Timmerman — Context on CQE's growth and Illinois' quantum strategyPrograms & Tools MentionedUChicago PME — K1 joins CQE — Example of the Founders Platform bringing quantum-enabling startups into the ecosystemIllinois Quantum & Microelectronics Park (IQMP) — Context on the physical infrastructure supporting the Chicago quantum ecosystemQuantumzeitgeist — Bloch Drives $55M Quantum Prairie Expansion — Additional analysis on the domestic supply-chain focusKey Quotes & InsightsOn the 18-month head start: "When we hear an anecdote once or twice, we realize, if we're hearing it once or twice today, that means in two years the U.S. government's gonna hear about it." Kate's argument for why nimble ecosystem organizations have to move before the market signal is obvious.On the supply chain problem: A significant portion of quantum components today are single-sourced and imported. That fragility, Kate argues, is quietly slowing every quantum company's ability to deliver products to customers — and it's the specific gap the Bloch award is designed to close.On the manufacturing pivot: The Midwest already has top-10 manufacturing states, but those small and mid-sized shops "tend to be more mom and pop type shops, and they don't have R&D budgets" to speculatively re-tool for quantum. Federal implementation funding is the mechanism to bridge that gap.On workforce reality: Employers "are so mission-focused on their tech development, they're not doing their own forecasts about what their jobs needs are gonna be in two and five years." Ecosystem organizations have to do that forecasting on behalf of the industry.On what universities quietly subsidize: "The universities end up doing a lot of stuff for free… a lot of the preparing for the future that is not maybe of incredible priority at the moment, but that fundamental work, yes, on the research side, but also on the workforce development side, is incredibly important."Related EpisodesEp. 82 — The Illinois Quantum Ecosystem with Harley Johnson — The complementary conversation on IQMP, the physical infrastructure that Kate's ecosystem work plugs into.Ep. 75 — Regional quantum development with Alejandra Y. Castillo — Former EDA leadership on the policy logic behind Tech Hubs and inclusive regional innovation.

P.M. Edition for July 23. The U.S. plans to impose new tariffs on most trade partners, replacing President Trump's temporary global 10% tariff. Plus, the threat of escalating conflict in the Middle East drove oil prices over $100, and concerns around higher inflation made bond yields surge. WSJ markets reporter Sam Goldfarb discusses how that ripples through the economy. Meanwhile, heavy AI spending from Alphabet and Tesla spooked investors, and the Nasdaq dropped more than 2%. And after IBM issued a rare profit warning last week, the company's earnings shed more light on what went wrong. We hear from reporter Anissa Gardizy about where its business goes from here, while tech columnist Christopher Mims spoke with IBM CEO Arvind Krishna. Alex Ossola hosts. Correction: New U.S. tariffs target 60 economies, or more than 80 countries. An earlier version of this podcast incorrectly said the tariffs target 60 countries. (Corrected on July 24.) Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Vincent's Slava Rubin is joined by Sacra's Jan-Erik Asplund to explore the rapidly evolving field of quantum computing, its current state, future potential, and investment opportunities. They share insights on private and public market options, technological milestones, and what to expect by 2030.

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

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.

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

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

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