Podcasts about qubits

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

En este episodio nos acompaña David Carmona (Microsoft) para explorar cómo la Inteligencia Artificial, la computación de alto rendimiento (HPC) y la mecánica cuántica están reescribiendo los fundamentos del descubrimiento científico.Analizamos Microsoft Discovery, una plataforma donde equipos autónomos de agentes IA trabajan revolucionando el I+D y la creación de nuevos materiales. Descubre casos de éxito reales, como la síntesis de una molécula refrigerante sin PFAS (químicos eternos) en apenas 200 horas, un proceso que normalmente llevaría décadas.Además, nos sumergimos en la frontera de la tecnología: la Computación Cuántica. Entenderás por qué es la única vía para resolver con precisión la ecuación de Schrödinger en la simulación de moléculas complejas , y cómo el chip cuántico Majorana 2 con su revolucionario enfoque de qubits topológicos busca lograr un salto sin precedentes en estabilidad y reducción de errores.Por último, debatimos sobre el papel fundamental que jugará Europa y los modelos de negocio en esta inminente revolución industrial. ENLACES MENCIONADOS:- Presentación de David Carmona del nuevo Microsoft Discovery y de Majorana 2, en Microsoft Build 2026: https://www.youtube.com/live/FFMm454fxNA?t=7841- Ecuación de Schrödinger: https://es.wikipedia.org/wiki/Ecuaci%C3%B3n_de_Schr%C3%B6dingerSECCIONES DEL VÍDEO:00:00:00 Intro y trayectoria en Microsoft00:04:30 Incubando la IA en Microsoft00:07:40 El lanzamiento de Microsoft Discovery00:09:40 Agentes autónomos vs Copilotos00:11:20 La IA y el método científico00:13:50 Laboratorios autónomos (El "Iron Man" real)00:18:06 Caso real: Refrigerantes sin químicos PFAS00:22:40 Modelos de IA científicos: MatterGen y Graphormer00:27:23 Por qué necesitamos Computación Cuántica00:31:30 Resolviendo la ecuación de Schrödinger00:36:20 El revolucionario chip cuántico Majorana 200:44:00 Las ventajas de los Qubits topológicos00:46:49 La oportunidad de Europa en la Cuántica00:53:28 Predicciones y el futuro a corto plazo

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

Today's episode we hear from Ekta Bhatia PhD in condensed matter physics, a distinguished quantum research scientist at NY Creates working on quantum materials for superconducting chips in Albany, NY! Her work is on Tantalum so that is specifically what is covered which also happens to be used in CMOS already. This Episode's References: - NY Creates - https://ny-creates.org- Quantum Women's Network - https://www.linkedin.com/company/quantum-women-network/- Ekta Bhatia's Work - https://scholar.google.com/citations?user=5ENxgeYAAAAJ&hl=en- Resonators - https://en.wikipedia.org/wiki/Resonator Let me know in the comments what you'd like to see next!

Virtual Vision for Velvet Avocados: VR Vineyards to Veggie Aisles.  Text Trap Trouble: Why Trolling Scammers Turns You into the Target.  Taxiing to the Sky: Manhattan's Air Mobility Ambition Takes Flight.  Borderline Biometrics: AI Age Assessments at the Asylum Gate.  Wheeled Workforce: Humanoid Helpers Hit the Factory Floor.  Mobile Megacharge: The EV Rescue Revolution Rolls Out.  Quantum Quandary: Backrooms Born from Qubits.  CV Clones and Career Clarity: How AI Is Rewriting Recruitment.  Argus Ascendant: A Bold Blob Bot Breaks Robotics Boundaries. 

Aubrey Masango speaks to Prof Thomas Konrad, full professor (not associate professor) and the director of the Centre for Quantum Computing and Technology at UKZN to unpack what quantum teleportation actually is, why it matters for the future of computing and communication, and how researchers are making it work in the lab right now. Tags: 702, Aubrey Masango show, Aubrey Masango, Bra Aubrey, Weird and Wonderful, Prof Thomas Konrad, Quantum teleportation, Qubits, Optical Images The Aubrey Masango Show is presented by late night radio broadcaster Aubrey Masango. Aubrey hosts in-depth interviews on controversial political issues and chats to experts offering life advice and guidance in areas of psychology, personal finance and more. All Aubrey’s interviews are podcasted for you to catch-up and listen. Thank you for listening to this podcast from The Aubrey Masango Show. Listen live on weekdays between 20:00 and 24:00 (SA Time) to The Aubrey Masango Show broadcast on 702 https://buff.ly/gk3y0Kj and on CapeTalk between 20:00 and 21:00 (SA Time) https://buff.ly/NnFM3Nk Find out more about the show here https://buff.ly/lzyKCv0 and get all the catch-up podcasts https://buff.ly/rT6znsn Subscribe to the 702 and CapeTalk Daily and Weekly Newsletters https://buff.ly/v5mfet Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

Fluoreszierende Proteine als Qubits: Sie könnten bald als Quantensensoren kleinste Veränderungen in unseren Zellen messen. Eine Fusion von Quantenmechanik und Biologie mit riesigem Potenzial. Hier entlang geht's zu den Links unserer Werbepartner: https://detektor.fm/werbepartner/spektrum-der-wissenschaft Die Shownotes zur Folge: (00:02:01) Was ist ein Qubit? (00:03:36) Quantensensoren (00:06:00) Relevanz der Technologie (00:07:35) Anwendung in der Biologie (00:12:29) Sensoren in lebenden Zellen – geht das schon? (00:14:42) Potenzial dieser Technologie (00:16:22) Welche Herausforderungen gibt es noch? ➡️ Artikel zum Nachlesen: https://detektor.fm/wissen/spektrum-podcast-biologische-qubits-quantensensoren

Fluoreszierende Proteine als Qubits: Sie könnten bald als Quantensensoren kleinste Veränderungen in unseren Zellen messen. Eine Fusion von Quantenmechanik und Biologie mit riesigem Potenzial. Hier entlang geht's zu den Links unserer Werbepartner: https://detektor.fm/werbepartner/spektrum-der-wissenschaft Die Shownotes zur Folge: (00:02:01) Was ist ein Qubit? (00:03:36) Quantensensoren (00:06:00) Relevanz der Technologie (00:07:35) Anwendung in der Biologie (00:12:29) Sensoren in lebenden Zellen – geht das schon? (00:14:42) Potenzial dieser Technologie (00:16:22) Welche Herausforderungen gibt es noch? ➡️ Artikel zum Nachlesen: https://detektor.fm/wissen/spektrum-podcast-biologische-qubits-quantensensoren

Fluoreszierende Proteine als Qubits: Sie könnten bald als Quantensensoren kleinste Veränderungen in unseren Zellen messen. Eine Fusion von Quantenmechanik und Biologie mit riesigem Potenzial. Hier entlang geht's zu den Links unserer Werbepartner: https://detektor.fm/werbepartner/spektrum-der-wissenschaft Die Shownotes zur Folge: (00:02:01) Was ist ein Qubit? (00:03:36) Quantensensoren (00:06:00) Relevanz der Technologie (00:07:35) Anwendung in der Biologie (00:12:29) Sensoren in lebenden Zellen – geht das schon? (00:14:42) Potenzial dieser Technologie (00:16:22) Welche Herausforderungen gibt es noch? ➡️ Artikel zum Nachlesen: https://detektor.fm/wissen/spektrum-podcast-biologische-qubits-quantensensoren

Spacetime. Wormholes. Warp Drives…. 20th Century physics, old-timer. It's all a projection of quantum data nodes called Qubits… and 21st Century physics lets you do all sorts of cool things that Old Albert E. would not like AT ALL.

StockBoxMedia speaks with Mike Jones, CEO of Delta Gold Technologies, about the global push toward quantum computing, the challenge of building stable qubits, and Delta's work with leading university researchers using nano-gold materials.Topics discussed:Why quantum computing mattersThe challenge of noisy qubitsNano-gold and qubit stabilityUniversity of Toronto and Penn State partnershipsQuantum security and encryption risksDelta Gold's IP and growth plans

SPONSORS: - Go to https://shortform.com/toe for a free trial and an exclusive $50 OFF on your annual subscription - I subscribe to The Economist for their science and tech coverage. As a TOE listener, get 35% off! No other podcast has this: https://economist.com/TOE Juan Maldacena wrote the most cited paper in theoretical physics, birthing AdS/CFT and realizing holography — and today, the problem keeping him up at night is wormholes. He suspects space-time isn't fundamental at all, that geometry itself might be what entanglement looks like from the inside. The singularity isn't a place, it's a name for everything we don't yet understand. I hope you enjoy it. FOLLOW: - Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e - Substack: https://curtjaimungal.substack.com/subscribe - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs - Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 TIMESTAMPS: - 00:00:00 - Emergent Space-Time Geometry - 00:05:28 - GR and QM Incompatibility - 00:11:52 - The Singularity Problem - 00:17:00 - Extremal Black Hole Thermodynamics - 00:22:00 - The Island Formula - 00:27:30 - Spacetime and Quantum Information - 00:34:15 - ER equals EPR - 00:41:51 - Traversable Wormhole Physics - 00:47:24 - Simulating Wormholes with Qubits - 00:52:53 - Celestial Holography and Symmetries - 00:58:00 - dS/CFT and Dark Energy - 01:04:24 - Quantum Error Correction Codes - 01:10:00 - The Physicist's Mindset - 01:15:19 - Inflationary Gravity Wave Predictions - 01:21:03 - Clocks and Emergent Time - 01:26:44 - Is Space-Time Doomed? - 01:32:00 - AI in Theoretical Physics - 01:38:00 - Overcoming Academic Inadequacy LINKS MENTIONED: - Juan Maldacena's Website: https://www.ias.edu/sns/malda - Large N Limit of Superconformal Field Theories [Paper]: https://arxiv.org/abs/hep-th/9711200 - Eternal Black Holes in AdS [Paper]: https://arxiv.org/abs/hep-th/0106112 - Holographic Derivation of Entanglement Entropy [Paper]: https://arxiv.org/abs/hep-th/0603001 - Real Observers Solving Imaginary Problems [Paper]: https://arxiv.org/abs/2412.14014 - Building Spacetime with Quantum Entanglement [Paper]: https://arxiv.org/abs/1005.3035 - Entropy of Bulk Quantum Fields [Paper]: https://arxiv.org/abs/1905.08762 - Entanglement Wedge Reconstruction [Paper]: https://arxiv.org/abs/1905.08255 - Comments on the Double Cone Wormhole [Paper]: https://arxiv.org/abs/2310.11617 - Traversable Wormholes in Four Dimensions [Paper]: https://arxiv.org/abs/1807.04726 - JT Gravity as a Matrix Integral [Paper]: https://arxiv.org/abs/1903.11115 - Single-Minus Gluon Tree Amplitudes [Paper]: https://arxiv.org/abs/2602.12176 - Bulk Locality and Quantum Error Correction [Paper]: https://arxiv.org/abs/1411.7041 - Black Hole Information Paradox: https://en.wikipedia.org/wiki/Black_hole_information_paradox - Chilloquium 2023 [Lecture]: https://youtu.be/Ow81IJyzmUQ - Erik Verlinde [TOE]: https://youtu.be/ilVImMHcr_g - Leonard Susskind [TOE]: https://youtu.be/2p_Hlm6aCok - Edward Frenkel [TOE]: https://youtu.be/RX1tZv_Nv4Y More links at https://curtjaimungal.substack.com Guests do not pay to appear. #science Learn more about your ad choices. Visit megaphone.fm/adchoices

This episode analyzes the execution bottleneck in enterprise quantum computing. Mykola Myksymenko of Haiqu argues that the missing software stack, not just hardware maturity, determines whether current systems can produce useful outcomes. The conversation focuses on noise, middleware, hybrid workflows, and why early experimentation may matter strategically even before broad production utility exists. Guest Micro-BioFeaturing Mykola Myksymenko, Co-Founder & CTO at Haiqu. Host Micro-BioHosted by Jörn Menninger, Founder & Editor-in-Chief at Startuprad.io — the authority on German, Swiss & Austrian startups. - Full Blog Post: https://www.startuprad.io/post/why-quantum-middleware-matters-more-than-qubits - Youtube Full Video: https://youtu.be/JTXSicY2xnE ✉️ Work with us: partnerships@startuprad.io Subscribe across platforms: https://linktr.ee/startupradio

Christopher war im Urlaub - also ist einiges aufzuarbeiten. In Abwesenheit des Co-Hosts hat die AI große und unerwartete Fortschritte bei der Suche nach Sicherheitslücken gemacht, was Sylvester an einem Beispiel im populären Editor vim nacherzählt. Der KI-Firma Anthropic ist Quellcode für Claude Code, der durch Claude Code gecoded wurde, entfleucht und offenbart allerlei humorige Details. Weniger humorig waren die Osterfeiertage für Kunden der CA D-Trust, die wegen einer fatalen Formalität ihre TLS-Zertifikate austauschen mussten. Und für dreißig Routerbesitzer in Deutschland, die durch die Behörden, allen voran Verfassungsschutz und BSI, auf die Sicherheitslücken in ihren Geräten angesprochen wurden. Und dann waren da noch zwei Forschungsaufsätze zum Thema Quantencomputer, die die Fachwelt aufscheuchen. So gibt es nun weitere Details über theoretische Durchbrüche, die den Wechsel zu quantensicheren Verfahren deutlich dringender machen. Bei Christopher ist der Ton ab und zu etwas ungleichmäßig, weil er den Kopf ein paar Mal fahrlässigerweise vom Mikro weggedreht hat. Wir bitten die Schwankungen zu entschuldigen und werden Christophers Kopf bei künftigen Aufnahmen mit technischen Mitteln fixieren.

New research indicates that the number of qubits necessary to achieve cryptographic relevance has reduced by two orders of magnitude. We cover this breaking news and its implications.

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Daniel Bar, co-founder of Space Computer, a satellite-based secure compute protocol that creates a "root of trust in space" using tamper-resistant hardware for cryptographic applications. The conversation explores the fascinating intersection of space technology, blockchain infrastructure, and trusted execution environments (TEEs), touching on everything from cosmic radiation-powered random number generators to the future of space-based data centers and Daniel's journey from quantum computing research to building what they envision as the next evolution beyond Ethereum's "world computer" concept. For more information about Space Computer, visit spacecomputer.io, and check out their new podcast "Frontier Pod" on the Space Computer YouTube channel.Timestamps00:00 Introduction to Space Computer02:45 Understanding Layer 1 and Layer 2 in Space Computing06:04 Trusted Execution Environments in Space08:45 The Evolution of Trusted Execution Environments11:59 The Role of Blockchain in Space Computing14:54 Incentivizing Satellite Deployment17:48 The Future of Space Computing and Its Applications20:58 Radiation Hardening and Space Environment Challenges23:45 Kardashev Civilizations and the Future of Energy26:34 Quantum Computing and Its Implications29:49 The Intersection of Quantum and Crypto32:26 The Future of Space Computer and Its VisionKey Insights1. Space-based data centers solve the physical security problem for Trusted Execution Environments (TEEs). While TEEs provide secure compute through physical isolation, they remain vulnerable to attacks requiring physical access - like electron microscope forensics to extract secrets from chips. By placing TEEs in space, these attack vectors become practically impossible, creating the highest possible security guarantees for cryptographic applications.2. The space computer architecture uses a hybrid layer approach with space-based settlement and earth-based compute. The layer 1 blockchain operates in space as a settlement layer and smart contract platform, while layer 2 solutions on earth provide high-performance compute. This design leverages space's security advantages while compensating for the bandwidth and compute constraints of orbital infrastructure through terrestrial augmentation.3. True randomness generation becomes possible through cosmic radiation harvesting. Unlike pseudo-random number generators used in most blockchain applications today, space-based systems can harvest cosmic radiation as a genuinely stochastic process. This provides pure randomness critical for cryptographic applications like block producer selection, eliminating the predictability issues that compromise security in earth-based random number generation.4. Space compute migration is inevitable as humanity advances toward Kardashev Type 1 civilization. The progression toward planetary-scale energy control requires space-based infrastructure including solar collection, orbital cities, and distributed compute networks. This technological evolution makes space-based data centers not just viable but necessary for supporting the scale of computation required for advanced civilization development.5. The optimal use case for space compute is high-security applications rather than general data processing. While space-based data centers face significant constraints including 40kg of peripheral infrastructure per kg of compute, maintenance impossibility, and 5-year operational lifespans, these limitations become acceptable when the application requires maximum security guarantees that only space-based isolation can provide.6. Space computer will evolve from centralized early-stage operation to a decentralized satellite constellation. Similar to early Ethereum's foundation-operated nodes, space computer currently runs trusted operations but aims to enable public participation through satellite ownership stakes. Future participants could fractionally own satellites providing secure compute services, creating economic incentives similar to Bitcoin mining pools or Ethereum staking.7. Blockchain represents a unique compute platform that meshes hardware, software, and free market activity. Unlike traditional computers with discrete inputs and outputs, blockchain creates an organism where market participants provide inputs through trading, lending, and other economic activities, while the distributed network processes and returns value through the same market mechanisms, creating a cyborg-like integration of technology and economics.

In this episode of The New Quantum Era, your host Sebastian Hassinger is joined by Chetan Nayak, Technical Fellow at Microsoft, professor of physics at the University of California Santa Barbara, and driving force behind Microsoft's quantum hardware R&D program. They discuss a modality of qubit that has not been covered on the podcast before, based on Majorana fermonic behaviors, which have the promise of providing topological protection against the errors which are such a challenge to quantum computing. Guest Bio Chetan Nayak is a Technical Fellow at Microsoft and leads the company's topological quantum hardware program, including the Majorana‑1 processor based on Majorana‑zero‑mode qubits.  He is also a professor of physics at UCSB and a leading theorist in topological phases of matter, non‑Abelian anyons, and topological quantum computation.  Chetan co‑founded Microsoft's Station Q  in 2005, building a bridge from theoretical proposals for topological qubits to engineered semiconductor–superconductor devices. What we talk about Chetan's first exposure to quantum computing in Peter Shor's lectures at the Institute for Advanced Study, and how that intersected with his PhD work with Frank Wilczek on non‑Abelian topological phases and Majorana zero modes.  The early days of topological quantum computation: fractional quantum Hall states at , emergent quasiparticles, and the realization that braiding these excitations naturally implements Clifford gates.  How Alexei Kitaev's toric‑code and Majorana‑chain ideas connected abstract topology to concrete condensed‑matter systems, and led to Chetan's collaboration with Michael Freedman and Sankar Das Sarma.  The 2005 proposal for a gallium‑arsenide quantum Hall device realizing a topological qubit, and the founding of Station Q to turn such theoretical blueprints into experimental devices in partnership with academic labs.  Why Microsoft pivoted from quantum Hall platforms to semiconductor–superconductor nanowires: leveraging the Fu–Kane proximity effect, spin–orbit‑coupled semiconductors, and a huge material design space—while wrestling with the challenges of interfaces and integration.  The evolution of the tetron architecture: two parallel topological nanowires with four Majorana zero modes, connected by a trivial superconducting wire and coupled to quantum dots that enable native Z‑ and X‑parity loop measurements.  How topological superconductivity allows a superconducting island to host even or odd total electron parity without a local signature, and why that nonlocal encoding provides hardware‑level protection for the qubit's logical 0 and 1.  Microsoft's roadmap in a 2D “quality vs. complexity” space: improving topological gap, readout signal‑to‑noise, and measurement fidelity while scaling from single tetrons to error‑corrected logical qubits and, ultimately, utility‑scale systems.  Error correction on top of topological qubits: using surface codes and Hastings–Haah Floquet codes with native two‑qubit parity measurements, and targeting hundreds of physical tetrons per logical qubit and thousands of logical qubits for applications like Shor's algorithm and quantum chemistry.  Engineering for scale: digital, on–off control of quantum‑dot couplings; cryogenic CMOS to fan out control lines inside the fridge; and why tetron size and microsecond‑scale operations sit in a sweet spot for both physics and classical feedback.  Where things stand today: the Majorana‑1 chiplet, recent tetron loop‑measurement experiments, DARPA's US2QC program, and how external users—starting with government and academic partners—will begin to access these devices before broader Azure Quantum integration. Papers and resources mentionedThese are representative papers and resources that align with topics and allusions in the conversation; they are good entry points if you want to go deeper.Non‑Abelian Anyons and Topological Quantum Computation – S. Das Sarma, M. Freedman, C. Nayak, Rev. Mod. Phys. 80, 1083 (2008); Early device proposalsSankar Das Sarma, Michael Freedman, and Chetan Nayak, “Topological quantum computation,” Physics Today 59(7), 32–38 (July 2006).Roadmap to fault‑tolerant quantum computation using topological qubits – C. Nayak et al., arXiv:2502.12252. Distinct lifetimes for X and Z loop measurements in a Majorana tetron - C. Nayaak et al., arXiv:2507.08795.Majorana qubit codes that also correct odd-weight errors - S. Kundu and B. Reichardt, arXiv:2311.01779. Microsoft's Majorana 1 chip carves new path for quantum computing, Microsoft blog post 

Let's look to 2026 and recap a pivotal 2025 with Paul Terry, CEO of Photonic. Explore why the industry has officially moved past the era of noisy qubits into the race for fault-tolerant, "gold-standard" logical qubits. Paul joins host Konstantinos Karagiannis to break down Photonic's selection for DARPA's Quantum Benchmarking Initiative Stage B and explains how their unique distributed architecture — which uses telecom-grade photons to entangle qubits across networks — allows them to bypass the scaling limitations of monolithic chips. He also details the game-changing shift to LDPC error correction codes, which is drastically reducing the physical resources needed to achieve utility-scale quantum computing.   Paul offers a series of provocative predictions for the coming year, ranging from G7 governments "leaning in" heavily on funding to the emergence of AI as the primary interface for programming quantum machines. He outlines an ambitious roadmap to have 40,000 logical qubits in service by 2030, unlocking massive potential in chemistry and finance, while also addressing the looming reality of the quantum threat to encryption. Tune in to hear why the network is becoming the computer and why the coming year will be defined by business cases rather than hardware metrics.   For more information on Photonic, visit https://photonic.com/.     Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and X: @ProtivitiTech.             Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

Dive into the future of quantum computing with Théau Peronnin, Co-founder and CEO of Alice & Bob, in conversation with Stephen Ibaraki on The Brand Called You (TBCY) podcast. Discover how Alice & Bob is revolutionizing the world of quantum hardware with their pioneering "cat qubits," leading the race toward fault-tolerant quantum computers.In this episode, Théau Peronnin shares his journey from a young science enthusiast to building one of Europe's most promising quantum startups, revealing key milestones, challenges, and breakthroughs. Hear about the unique role of error correction in quantum computing, why “cat qubits” matter, and Alice & Bob's game-changing partnership with Nvidia. Plus, learn what the recent Nobel Prize win means for the company and the industry as a whole.This is a must-watch for anyone interested in the next leap in computing—engineers, tech leaders, quantum enthusiasts, and future-focused investors!

If there's one thing more painful than seeing Canada lose to the Americans in hockey, it's seeing promising Canadian companies pull up stakes and move south of the border. Canadian editors are in a dictionary dispute with the Carney government.

Episode overviewThis episode of The New Quantum Era features a conversation with Quantum Brilliance co‑founder and CEO Mark Luo and independent board chair Brian Wong about diamond nitrogen vacancy (NV) centers as a platform for both quantum computing and quantum sensing. The discussion covers how NV centers work, what makes diamond‑based qubits attractive at room temperature, and how to turn a lab technology into a scalable product and business.What are diamond NV qubits?  Mark explains how nitrogen vacancy centers in synthetic diamond act as stable room‑temperature qubits, with a nitrogen atom adjacent to a missing carbon atom creating a spin system that can be initialized and read out optically or electronically. The rigidity and thermal properties of diamond remove the need for cryogenics, complex laser setups, and vacuum systems, enabling compact, low‑power quantum devices that can be deployed in standard environments.Quantum sensing to quantum computing  NV centers are already enabling ultra‑sensitive sensing, from nanoscale MRI and quantum microscopy to magnetometry for GPS‑free navigation and neurotech applications using diamond chips under growing brain cells. Mark and Brian frame sensing not as a hedge but as a volume driver that builds the diamond supply chain, pushes costs down, and lays the manufacturing groundwork for future quantum computing chips.Fabrication, scalability, and the value chain  A key theme is the shift from early “shotgun” vacancy placement in diamond to a semiconductor‑style, wafer‑like process with high‑purity material, lithography, characterization, and yield engineering. Brian characterizes Quantum Brilliance's strategy as “lab to fab”: deciding where to sit in the value chain, leveraging the existing semiconductor ecosystem, and building a partner network rather than owning everything from chips to compilers.Devices, roadmaps, and hybrid nodes  Quantum Brilliance has deployed room‑temperature systems with a handful of physical qubits at Oak Ridge National Laboratory, Fraunhofer IAF, and the Pawsey Supercomputing Centre. Their roadmap targets application‑specific quantum computing with useful qubit counts toward the end of this decade, and lunchbox‑scale, fault‑tolerant systems with on the order of 50–60 logical qubits in the mid‑2030s.Modality tradeoffs and business discipline  Mark positions diamond NV qubits as mid‑range in both speed and coherence time compared with superconducting and trapped‑ion systems, with their differentiator being compute density, energy efficiency, and ease of deployment rather than raw gate speed. Brian brings four decades of experience in semiconductors, batteries, lidar, and optical networking to emphasize milestones, early revenue from sensing, and usability—arguing that making quantum devices easy to integrate and operate is as important as the underlying physics for attracting partners, customers, and investors.Partners and ecosystem  The episode underscores how collaborations with institutions such as Oak Ridge, Fraunhofer, and Pawsey, along with industrial and defense partners, help refine real‑world requirements and ensure the technology solves concrete problems rather than just hitting abstract benchmarks. By co‑designing with end users and complementary hardware and software vendors, Quantum Brilliance aims to “democratize” access to quantum devices, moving them from specialized cryogenic labs to desks, edge systems, and embedded platforms.

The Chopping Block unpacks crypto's DATpocalypse — NAVs collapsing, volumes drying up, and consolidation on the horizon. Plus: Vitalik sparks a wave of quantum panic, what Q-Day really means for Bitcoin and smart-contract chains, and why “qubits per share” might become the next great crypto meme. Welcome to The Chopping Block — where crypto insiders Haseeb Qureshi, Tom Schmidt, Tarun Chitra, and Robert Leshner chop it up about the latest in crypto. This episode opens with the DATpocalypse: almost every DAT is now below NAV, volumes have collapsed outside Bitmine and MicroStrategy, and the market is finally confronting what happens when issuances outrun demand. We get into consolidation talk, preferred-share experiments, capital-structure pivots, and whether any DAT should actually be selling crypto to buy back shares at a discount. Then we shift into quantum mania. Vitalik's “2028” comment lit up Q-Day fears, and we separate genuine hardware progress from pure panic. We discuss why post-quantum upgrades are simple for Bitcoin but brutal for stateful chains, and how hype alone could trigger a wave of “quantum-resistant” speculation. And yes — the running gag: DATs using quantum machines to steal Satoshi's coins. Tough markets, weird narratives, and institutions quietly holding the line. Let's get into it. Show highlights

Quantum computing may sound like something out of a sci-fi TV show. But the future is here, and it's right in our own backyard. In 2023, Cleveland Clinic and IBM deployed the first quantum computer dedicated to healthcare research. It was part of a 10-year partnership to accelerate research in healthcare and life sciences. Unlike supercomputers, quantum computing uses "qubits" that harnesses the laws of quantum mechanics, making it possible to explore certain complex problems and calculations - calculations impractical or impossible for supercomputers. For context, in what would take a supercomputer years to execute, a quantum computer can complete in hours, if not minutes.rnrnThis is a complete game-changer when it comes to research bottlenecks, identifying new scientific discoveries. And it's not just Cleveland Clinic tapping into this innovative technology. Have we entered a new race to the top in tech? And what does it mean to have one of the first quantum computers powering advanced biomedical research right here in Northeast Ohio?

Noch gelten die meisten modernen Verschlüsselungsverfahren als ziemlich sicher. Doch manche der heute gängigen Algorithmen können durch hinreichend leistungsstarke Quantencomputer nicht nur geschwächt, sondern geradezu nutzlos werden, beispielsweise RSA. Denn Quantencomputer eignen sich hervorragend, um mathematische Probleme wie die Primfaktorzerlegung extrem effizient zu lösen. Dass es solche Rechner jemals geben wird, ist zwar noch nicht zu hundert Prozent ausgemacht. Nach aktuellem Forschungsstand ist aber davon auszugehen, dass der "Q-Day" keine Frage des "ob" mehr ist, sondern nur noch eine des "wann". Sowohl Banken und Versicherungskonzerne als auch Behörden und andere staatliche Institutionen tun also gut daran, sich auf dieses Szenario vorzubereiten. Sie müssen die Verschlüsselung ihrer Kommunikation auf Algorithmen umstellen, die nach heutigem Kenntnisstand auch von Quantencomputern nicht gebrochen werden können. "Post Quantum Cryptography" ist das Schlagwort dazu, kurz PQC. Das klingt nach Raketenwissenschaft (ist es auch irgendwie), doch es gibt auch eine gute Nachricht: PQC-Algorithmen existieren durchaus und werden in einigen Bereichen auch schon in der Breite eingesetzt. Im c't uplink sprechen wir über allerhand Fragen zu PQC und Quantencomputern. Vor welchen praktischen Herausforderungen stehen etwa Banken? Warum sind manche Algorithmen gefährdet und andere nicht? Wie rechnet ein Quantencomputer? Wie kann man sich Qubits vorstellen – und wie sieht die Hardware eines Quantencomputers eigentlich aus? ► Unseren Schwerpunkt zu Post-Quanten-Kryptographie lesen Sie bei heise+: https://www.heise.de/ratgeber/Wie-Quantencomputer-Banken-und-Versicherungen-bedrohen-10646496.html ► sowie in c't 23/2025: https://www.heise.de/select/ct/2025/23/2525815470955601129

Noch gelten die meisten modernen Verschlüsselungsverfahren als ziemlich sicher. Doch manche der heute gängigen Algorithmen können durch hinreichend leistungsstarke Quantencomputer nicht nur geschwächt, sondern geradezu nutzlos werden, beispielsweise RSA. Denn Quantencomputer eignen sich hervorragend, um mathematische Probleme wie die Primfaktorzerlegung extrem effizient zu lösen. Dass es solche Rechner jemals geben wird, ist zwar noch nicht zu hundert Prozent ausgemacht. Nach aktuellem Forschungsstand ist aber davon auszugehen, dass der "Q-Day" keine Frage des "ob" mehr ist, sondern nur noch eine des "wann". Sowohl Banken und Versicherungskonzerne als auch Behörden und andere staatliche Institutionen tun also gut daran, sich auf dieses Szenario vorzubereiten. Sie müssen die Verschlüsselung ihrer Kommunikation auf Algorithmen umstellen, die nach heutigem Kenntnisstand auch von Quantencomputern nicht gebrochen werden können. "Post Quantum Cryptography" ist das Schlagwort dazu, kurz PQC. Das klingt nach Raketenwissenschaft (ist es auch irgendwie), doch es gibt auch eine gute Nachricht: PQC-Algorithmen existieren durchaus und werden in einigen Bereichen auch schon in der Breite eingesetzt. Im c't uplink sprechen wir über allerhand Fragen zu PQC und Quantencomputern. Vor welchen praktischen Herausforderungen stehen etwa Banken? Warum sind manche Algorithmen gefährdet und andere nicht? Wie rechnet ein Quantencomputer? Wie kann man sich Qubits vorstellen – und wie sieht die Hardware eines Quantencomputers eigentlich aus? ► Unseren Schwerpunkt zu Post-Quanten-Kryptographie lesen Sie bei heise+: https://www.heise.de/ratgeber/Wie-Quantencomputer-Banken-und-Versicherungen-bedrohen-10646496.html ► sowie in c't 23/2025: https://www.heise.de/select/ct/2025/23/2525815470955601129

Noch gelten die meisten modernen Verschlüsselungsverfahren als ziemlich sicher. Doch manche der heute gängigen Algorithmen können durch hinreichend leistungsstarke Quantencomputer nicht nur geschwächt, sondern geradezu nutzlos werden, beispielsweise RSA. Denn Quantencomputer eignen sich hervorragend, um mathematische Probleme wie die Primfaktorzerlegung extrem effizient zu lösen. Dass es solche Rechner jemals geben wird, ist zwar noch nicht zu hundert Prozent ausgemacht. Nach aktuellem Forschungsstand ist aber davon auszugehen, dass der "Q-Day" keine Frage des "ob" mehr ist, sondern nur noch eine des "wann". Sowohl Banken und Versicherungskonzerne als auch Behörden und andere staatliche Institutionen tun also gut daran, sich auf dieses Szenario vorzubereiten. Sie müssen die Verschlüsselung ihrer Kommunikation auf Algorithmen umstellen, die nach heutigem Kenntnisstand auch von Quantencomputern nicht gebrochen werden können. "Post Quantum Cryptography" ist das Schlagwort dazu, kurz PQC. Das klingt nach Raketenwissenschaft (ist es auch irgendwie), doch es gibt auch eine gute Nachricht: PQC-Algorithmen existieren durchaus und werden in einigen Bereichen auch schon in der Breite eingesetzt. Im c't uplink sprechen wir über allerhand Fragen zu PQC und Quantencomputern. Vor welchen praktischen Herausforderungen stehen etwa Banken? Warum sind manche Algorithmen gefährdet und andere nicht? Wie rechnet ein Quantencomputer? Wie kann man sich Qubits vorstellen – und wie sieht die Hardware eines Quantencomputers eigentlich aus? ► Unseren Schwerpunkt zu Post-Quanten-Kryptographie lesen Sie bei heise+: https://www.heise.de/ratgeber/Wie-Quantencomputer-Banken-und-Versicherungen-bedrohen-10646496.html ► sowie in c't 23/2025: https://www.heise.de/select/ct/2025/23/2525815470955601129

Why can't we run through walls if atoms are mostly empty space? Neil deGrasse Tyson, Chuck Nice, Gary O'Reilly, and astrophysicist Charles Liu explore force fields, warp drive, invisibility, and quantum physics behind superhero powers.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/superhero-science-startalk-live-with-charles-liu/Thanks to our Patrons Dave, Downtime Coffee, David, Colby Bechtold, Carlo Gomez, Mark Hanley, zach, David Bishop, Danielle Grant, Brian Petrunik, Micheal, Private Name, Dustin Hurtt, O.C, Cris Martinella, Václav Pechman, MrMcMuffinJr, Matthew Reagan, Kellie, Christopher Peffers, Vishal Ahmed, Chris Hodgins, Linda Nguyen, Ben F, Kirk, Charles Spence, Kirk, Zack Fay, Dave Lora, Mark Wilson, David Gaston, Emily Keck, Julian Walker, Samantha, Mikeland, Amy, M Rrr1994, Daniel Carter, Bill Holub, Craig Crawford, Rajkumar Polepaka, Tom Mison, Neil Disney, Tomas fridrik, Kurt Hayes, GA Armistead, Andrew Hagan, Jordan Wagner, Mai Tai, Ross Walker, Jonathan Price, FatDunb'Murican, Ann, Isaac Bicher, Michael Tiberg, Darrell Messer, Jeff Smith, Kimberly V Silver, Joe Jenkins, Phillips Williams, Archie, Andrew Wery, Jacob Hernke, John Ryan, Arthur Forlin, Tom Jenkins, Mario Miranda, Douglas, Heather Jones, Mancheno, Marcus Lowe, Mister Sandman, Brand0n Rs, Raj Sivakumar, Ryne Thornsen, Sean Doyle, BRAD BRIDGEWATER, Paul Bernard, Karl Desfosses, Kody Remer, Greg Scopel, Sriti Jha, Tim Enfinger, Jacob Glanville, Rilee Jensen, David W., Micheal Austin, Carlos Alberto Gonzalez, JOSH SHE-BONG, George, and Geezapouch for supporting us this week. 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.

Researchers have created a device with 6100 qubits, the largest collection of quantum bits ever assembled, using an array of ultracold caesium atoms controlled by lasers. As New Scientist explains, the breakthrough marks a significant step toward building the world's most advanced quantum computer. Previously, the record was held by a machine from Atom Computing with 1180 qubits. The new device uses neutral atoms cooled to near absolute zero, and is designed to maintain stable quantum states for longer periods. You can listen to all of the Quantum Minute episodes at https://QuantumMinute.com. The Quantum Minute is brought to you by Applied Quantum, a leading consultancy and solutions provider specializing in quantum computing, quantum cryptography, quantum communication, and quantum AI. Learn more at https://AppliedQuantum.com.

The word “foundry” might make you think of large machines pouring metal into molds, but Argonne National Labs has a Quantum Foundry that implants individual atoms, like silicon, into materials such as diamond. The resulting spin qubits are optically active and can use photons to communicate. We can expect spin qubits to help interconnect systems, which could help us achieve distributed quantum computing, but they also could be used for everything from room-temperature biological sensors to durable, space-based dark matter detectors. Join host Konstantinos Karagiannis for a cosmic chat with Benjamin Pingault from Argonne National Laboratory.    For more information on Argonne National Laboratory and the Argonne Quantum Foundry, visit https://www.anl.gov/.   Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and X: @ProtivitiTech.             Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

En este episodio nos acercamos al Barcelona Supercomputing Center, que alberga uno de los superordenadores más potentes del mundo y el primer ordenador cuántico con tecnología 100% europea. Charlamos con Alba Cervera, física y coordinadora del proyecto Quantum Spain y Patricio Reyes, responsable del grupo de investigación Urban Data Science sobre dos de las tecnologías más revolucionarias del siglo XXI. ¿Cómo aprovechan la capacidad de cálculo de estos ordenadores en sus investigaciones? ¿Por qué van a cambiar el modo en que entendemos el mundo? ¿Qué riesgos y dilemas plantean para la ciencia, la investigación y la humanidad? ¿Qué pregunta científica les gustaría resolver gracias a la tecnología? Suscríbete a nuestro newsletter y recibirás mensualmente los nuevos episodios en primicia y contenido extra relacionado https://bit.ly/3vtBujk See omnystudio.com/listener for privacy information.

Welcome to Impact Quantum, where curiosity meets real-world quantum insight! In this episode, we sit down with Dr. Bob Sutor—yes, the Bob Sutor—author of "Dancing with Qubits" and CEO of the Sutor Group Intelligence and Advisory. With decades of experience in computing, Bob brings a rare blend of wisdom, clarity, and wit to the conversation.Join us as we dive deep into the rapidly evolving quantum industry. We uncover why there are 85 quantum hardware companies (and why that number is likely to shrink), debate the eternal hype cycle versus real breakthroughs, and explore why quantum computing careers might just be tailor-made for today's teenagers. Along the way, you'll learn about the shifting balance between classical and quantum coding, get candid advice on navigating technical press releases, and hear how the software revolution could soon outpace hardware innovations in quantum—just like it did in the early days of the PC industry.Whether you're a seasoned quantum pro or new to the field, this episode will leave you smarter, more skeptical, and certainly more quantum curious. Grab your headphones and get ready for an engaging, down-to-earth exploration of quantum tech's future!LinksDancing with Qubits - https://www.amazon.com/dp/1837636753?tag=datadrivenm0e-20Time Stamps00:00 "Impact Quantum: Exploring Qubits"05:03 "Learning Qubits Without Physics"09:40 "AP Physics, AI, and Choices"13:14 Quantum Hardware and Academic Persistence15:02 Quantum Computing Market Shakeout20:07 "James Webb Telescope Collaboration"21:20 Quantum Integration Challenges25:55 "Identifying Buzzword Headlines"29:55 "Early Stage Investing Insights"32:15 "Transitioning to Quantum Leadership"37:34 "Reproducibility in Research Results"38:41 Quantum Computing: NISQ to Fault Tolerance44:40 "Moore's Law and Tech Evolution"46:56 "Dancing with Cubits Journey"51:16 "Young Minds Embrace Quantum Computing"52:26 "Nostalgia and Evolving Media Trends"56:31 Quantum Industry News Aggregator58:46 "Quantum Insights with Dr. Souter"

This episode is a first for the show - a repeat of a previously posted interview on The New Quantum Era podcast! I think you'll agree the reason for the repeat is a great one - this episode, recorded at the APS Global Summit in March, features a conversation John Martinis, co-founder and CTO of QoLab and newly minted Nobel Laureate! Last week the Royal Swedish Academy of Sciences made an announcement that John would share the 2025 Nobel Prize for Physics with John Clarke and Michel Devoret “for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit.” It should come as no surprise that John and I talked about macroscopic quantum mechanical tunnelling and energy quantization in electrical circuits, since those are precisely the attributes that make a superconducting qubit work for computation.  The work John is doing at Qolab, a superconducting qubit company seeking to build a million qubit device, is really impressive, as befits a Nobel Laureate and a pioneer in the field. In our conversation we explore the strategic shifts, collaborative efforts, and technological innovations that are pushing the boundaries of quantum computing closer to building scalable, million-qubit systems. Key HighlightsEmerging from Stealth Mode & Million-Qubit System Paper:Discussion on QoLab's transition from stealth mode and their comprehensive paper on building scalable million-qubit systems.Focus on a systematic approach covering the entire stack.Collaboration with Semiconductor Companies:Unique business model emphasizing collaboration with semiconductor companies to leverage external expertise.Comparison with bigger players like Google, who can fund the entire stack internally.Innovative Technological Approaches:Integration of wafer-scale technology and advanced semiconductor manufacturing processes.Emphasis on adjustable qubits and adjustable couplers for optimizing control and scalability.Scaling Challenges and Solutions:Strategies for achieving scale, including using large dilution refrigerators and exploring optical communication for modular design.Plans to address error correction and wiring challenges using brute force scaling and advanced materials.Future Vision and Speeding Up Development:QoLab's goal to significantly accelerate the timeline toward achieving a million-qubit system.Insight into collaborations with HP Enterprises, NVIDIA, Quantum Machines, and others to combine expertise in hardware and software.Research Papers Mentioned in this Episode:Position paper on building scalable million-qubit systems 

Imagine a quantum computer with a million physical qubits in a space smaller than a sticky note.That's exactly what Quantum Art is building. In this TechFirst episode, I chat with CEO Tal David, who shares his team's vision to deliver quantum systems with: • 100x more parallel operations • 100x more gates per second • A footprint up to 50x smaller than competitorsWe also dive into the four key tech breakthroughs behind this roadmap to scale Quantum Art's computer:1. Multi-qubit gates capable of 1,000 2-qubit operations in a single step2. Optical segmentation using laser-defined tweezers3. Dynamic reconfiguration of ion cores at microsecond speed4. Modular, ultra-dense 2D architectures scaling to 1M+ qubitsWe also cover:- How Quantum Art plans to reach fault tolerance by 2033- Early commercial viability with 1,000 physical qubits by 2027- Why not moving qubits might be the biggest innovation of all- The quantum computing future of healthcare, logistics, aerospace, and energy

Quantum Milestone, Microsoft Account Mandate, AI Energy Surge, and Gen AI in Marketing In this episode, host Jim Love covers groundbreaking advancements and significant changes in the tech world. Topics include Caltech's achievement of a 6,100 qubit quantum processor operating at room temperature, Microsoft's decision to require cloud sign-ins for Windows 11 users, and projections of a tenfold surge in power demand from AI data centers by 2030. Additionally, the episode discusses a survey indicating that 85% of marketing teams are now utilizing generative AI, up from 75% last year, and highlights the rapid, extensive effects of AI on marketing practices. 00:00 Quantum Milestone: 6,100 Qubits at Room Temperature 02:57 Microsoft Ends Local Windows Accounts 04:26 AI's Growing Power Demand 06:34 Generative AI Revolution in Marketing 08:37 Conclusion and Farewell

Welcome to another episode of Data Driven, where we dive deep into how data and AI are shaping—sometimes shaking—the modern world. In this episode, hosts Frank La Vigne, Andy Leonard, and Carmen Li sit down with Carmen Lee, the trailblazing CEO of Silicon Data and a former Bloomberg data aficionado.Carmen's on a mission to bring clarity to the wild west of GPU compute markets, and she shares with us how she's turning raw compute into a true tradable commodity—think futures markets for GPUs, the “Bloomberg terminal” for AI infrastructure, and perhaps even a Carfax for your next used GPU cluster.Together, they explore everything from why AI startups struggle with fluctuating margins, to the crucial role TSMC plays in the world economy, all the way to the data transparency that might be the missing piece in AI's explosive growth. Whether you're curious about benchmarking GPUs, tokenomics, managing infrastructure costs, or just want a glimpse into the future of data markets, this one's for you.Stay tuned for a fascinating conversation on normalizing chaos, hedging tech costs, geeking out over hardware, and even a few laughs about used GPU “car lots” in Virginia. Let's get data driven!LinksSilicon Data -https://www.silicondata.com/Dancing with Qubits -https://amzn.to/4mIOG8UThe Nvidia Way -https://amzn.to/3VH9aUvTime Stamps00:00 "AI Commodities and GPU Markets"06:56 Ecosystem Transparency Benefits All10:55 AI SaaS Cost Optimization Challenges13:41 Token Economics in Cloud AI15:27 Optimizing GPU and Token Commitment18:41 Token-Based Product Innovation25:00 "Verifying UIDs and Connectivity"28:43 Measuring GPU Performance30:41 Supply Chain Impact on GPU Industry35:43 "TNC's Unchallenged Leadership in Supply Chain"36:31 Silicon Ecosystem Collaboration39:38 Nvidia's Strategic TSMC Capacity Purchase42:51 Bloomberg's Media and Finance Expansion46:53 "Quantum Reading Challenges"50:13 "Data Driven Podcast Wrap-Up"

Pierre Desjardins is the cofounder of C12, a Paris-based quantum computing hardware startup that specializes in carbon nanotube-based spin qubits. Notably, Pierre founded the company alongside his twin brother, Mathieu, making them the only twin-led deep-tech startups that we know of! Pierre's journey is unconventional—he is a rare founder in quantum hardware without a PhD, drawing instead on engineering and entrepreneurial experience. The episode dives into what drew him to quantum computing and the pivotal role COVID-19 played in catalyzing his career shift from consulting to quantum technology.C12's Technology and Unique AngleC12 focuses on developing high-performance qubits using single-wall carbon nanotubes. Unlike companies centered on silicon or germanium spin qubits, C12 fabricates carbon nanotubes, tests them for impurities, and then assembles them on silicon chips as a final step. The team exclusively uses isotopically pure carbon-12 to minimize magnetic and nuclear spin noise, yielding a uniquely clean environment for electron confinement. This yields ultra-low charge noise and enables the company to build highly coherent qubits with remarkable material purity.Key Technical InnovationsSpin-Photon Coupling: C12's system stands out for driving spin qubits using microwave photons, drawing inspiration from superconducting qubit architectures. This enables the implementation of a “quantum bus”—a superconducting interconnect that allows long-range coupling between distant qubits, sidestepping the scaling bottleneck of nearest-neighbor architectures.Addressable Qubits: Each carbon nanotube qubit can be tuned on or off the quantum bus by manipulating the double quantum dot confinement, providing flexible connectivity and the ability to maximize coherence in a memory mode.Stability and Purity: Pierre emphasizes that C12's suspended architecture dramatically reduces charge noise and results in exceptional stability, with minimal calibration drift, over years-long measurement campaigns—a stark contrast with many superconducting platforms.Recent MilestonesC12 celebrated its fifth anniversary and recently demonstrated the first qubit operation on their platform. The company achieved ultra-long coherence times for spin qubits coupled via a quantum bus, publishing these results in *Nature*. The next milestone is demonstrating two-qubit gates mediated by microwave photons—a development that could set a new benchmark for both C12 and the wider quantum computing industry.Challenges and OutlookC12's current focus is scaling up from single-qubit demonstrations to multi-qubit gates with long-range connectivity, a crucial step toward error correction and practical algorithms. Pierre notes the rapid evolution of error-correcting codes, remarking that some codes they are now working on did not exist two years ago. The interview closes with an eye on the race to demonstrate long-distance quantum gates, with Pierre hoping C12 will make industry headlines before larger competitors like IBM.Notable Quotes“The more you dig into this technology, the more you understand why this is just the way to build a quantum computer.”“We have the lowest charge noise compared to any kind of spin qubit—this is because of our suspended architecture.”“What we introduced is the concept of a quantum bus… really the only way to scale spin qubits.”Episode ThemesEntrepreneurship in deep tech without a traditional research backgroundTechnical deep dive on carbon nanotube spin qubits and quantum bus architectureMaterials science as the foundation of scalable quantum hardwareThe importance of coherence, noise reduction, and tunable architectures in quantum system designThe dynamic evolution of error correction and industry competitionListeners interested in cutting-edge hardware, quantum startup journeys, or the science behind scalable qubit platforms will find this episode essential. Pierre provides unique clarity on why C12's approach offers both conceptual and practical advantages for the future of quantum computing,

Welcome to a special edition of Impact Quantum! In this episode, we unlock the latest breakthroughs in our dazzlingly data-rich quantum industry reports. Whether you're a seasoned qubit wrangler or just quantum-curious, there's something here to energize your imagination.Join Frank La Vigne and Candice Gillhoolley as they reveal how quantum technology is leapfrogging from theory to real-world industry applications. From deep dives into sector trends like energy, pharma, finance, and defense, to behind-the-scenes looks at tools like their interactive network graph visualization, you'll get a first-hand view of where quantum is headed and why it matters. Plus, discover tips on quantum sales, learn about new community resources—including a soon-to-launch Quantum Bookshelf—and get plugged into the latest updates from the quantum ecosystem.Ready to see the future? Buckle up, because Impact Quantum is where data meets destiny, and the industrial quantum revolution is already underway.LinksInteractive Industry Report -https://impactquantum.com/IndustyReport/ Quantum Sale Playbook - https://www.amazon.com/dp/B0FR5YGFDR?tag=datadrivenm0e-20 Quantum Curious - https://www.amazon.com/dp/B0FG5HDLWJ?tag=datadrivenm0e-20 Time Stamps00:00 Global Quantum Readiness Insights05:49 Tesla Battery Material Optimization09:19 "Excitement in Vibe Coding"12:03 "Sell Solutions, Not Technology"13:40 Free Offer for Startup Hubs20:10 Gaming Dilemma: Video Card Quandary21:06 Portable High-End Mini PC26:58 "Explore Our Extensive Video Content"28:35 Quantum Data's Moment in Spotlight

For the first time, Shor's Algorithm is running on logical qubits! The team at Infleqtion used their Sqale neutral atom processor to accomplish the feat. While the setup only uses six logical qubits, and we're still in the range of factoring 15 or 21, this is both a proof of concept and a proof of the need for post-quantum cryptography (PQC). We discuss the aggressive 2.5:1 physical-to-logical ratio of Sqale, which could lead to hundreds of logical qubits by 2028. Also, find out why Shor's Algorithm could surprisingly end up being one of the first killer apps for quantum computing, rather than a later use case. Join host Konstantinos Karagiannis for a wide-ranging chat with Peter Noell from Infleqtion. For more information on Infleqtion, visit https://infleqtion.com/.   Visit Protiviti at www.protiviti.com/US-en/technology-consulting/quantum-computing-services  to learn more about how Protiviti is helping organizations get post-quantum ready.  Follow host Konstantinos Karagiannis on all socials: @KonstantHacker and follow Protiviti Technology on LinkedIn and X: @ProtivitiTech.             Questions and comments are welcome!  Theme song by David Schwartz, copyright 2021.  The views expressed by the participants of this program are their own and do not represent the views of, nor are they endorsed by, Protiviti Inc., The Post-Quantum World, or their respective officers, directors, employees, agents, representatives, shareholders, or subsidiaries.  None of the content should be considered investment advice, as an offer or solicitation of an offer to buy or sell, or as an endorsement of any company, security, fund, or other securities or non-securities offering. Thanks for listening to this podcast. Protiviti Inc. is an equal opportunity employer, including minorities, females, people with disabilities, and veterans.  

Welcome to Impact Quantum, the podcast where curiosity meets cutting-edge technology and quantum concepts get untangled for everyone—no physics PhD required. In this episode, hosts Frank La Vigne and Candace Gillhoolley sit down with Clark Alexander, mathematician, quantum thinker, co-founder of Enerjuice, and self-proclaimed flaneur. Together, they dive into the unexpected intersections of quantum computing, artificial intelligence, and the energy markets.Clark shares insights from his recent experience as a juror at Egypt's first national quantum hackathon, unpacks the real-world energy demands of quantum hardware, and challenges some industry assumptions about quantum advantage and supremacy. From the complexity of electricity markets and the astonishing mathematics behind power grids to the philosophical depths of algorithmic breakthroughs and cyber security, you'll get a front-row seat to some spirited debate, practical analogies, and a few SAT-worthy vocabulary words.Whether you're fascinated by the future of quantum tech, curious about the energy powering your electric bill, or just want to learn why you can't build a Lego tower to the moon, this episode delivers sharp opinions, relatable explanations, and just the right amount of existential crisis—perfect for anyone eager to explore where quantum theory meets real-world impact. Grab your coffee and get ready for an illuminating journey across the quantum landscape!Time Stamps00:00 "Quantum Computing: Beyond Algorithms"03:40 Egypt's First National Quantum Hackathon08:25 Quantum Computing: Efficiency vs. Precision10:13 Key Measures in Modern Computing16:44 Quantum Hardware for Specialized Problem Solving17:28 Google's Willow Chip & F1 Insights23:16 "Quantum Annealing vs. Gate Computing"24:19 Quantum Annealing and D-Wave's Specialty29:46 "Infinite Algorithmic Possibilities"31:43 "Brilliant Inverse Square Root Trick"36:43 Clueless: Science Program in Mexico40:07 Transition to Industrial Mathematics43:14 MISO: Energy Flow and Pricing45:59 Electricity Pricing Optimization Challenge50:24 Understanding Electricity Markets51:46 Impact Quantum Wrap-Up: Math & Qubits

Welcome back to Impact Quantum, the show where quantum computing leaps from the chalkboard right onto the cutting edge of real-world business. In this episode, host Frank La Vigne and co-host BAILeY welcome back Yuval Boger, now Chief Commercial Officer at Quera Computing. Yuval takes us behind the scenes of Quera's recent $230 million funding round, reveals how they're shipping next-gen quantum computers to Japan, and dives deep into the fascinating world of neutral atom technology—think single atoms wrangled by lasers, all operating at room temperature (no cryogenic chandeliers required).Together, they explore how global governments and commercial enterprises are racing to harness the power of quantum, the challenges of scaling up this revolutionary tech, and why you don't need a PhD to start working in quantum computing—you just need curiosity and maybe a backup hair dryer. Whether you're a CTO, a logistics manager, or simply quantum-curious, this episode is your personal invite to the future of computing. Get ready for some mind-bending insights, a few great science puns, and a glimpse into why now is the perfect moment to dive into the quantum revolution.Time Stamps00:00 Quantum Innovation with Yuval Boger03:41 Next-Gen Quantum Computer Shipped07:11 Quantum Computing: Rapid Global Growth12:30 Quantum Computing for Advanced Problem Solving14:36 Quantum Computing Sales Strategy19:43 Governments Investing in Quantum Leap21:21 Quantum Investments Expand Nationwide24:35 "Identical Atoms as Qubits"28:25 Efficient Qubit Movement Technology34:25 Quantum Industry Skills Gap37:47 Quantum's Impact on Chemistry Advances40:45 AI & Quantum Computing Revolution44:21 "Quantum Supercomputing with Lasers"

Host: Sebastian HassingerGuest: Andrew Dzurak (CEO, Diraq)In this enlightening episode, Sebastian Hassinger interviews Professor Andrew Dzurak. Andrew is the CEO and co-founder of Diraq and concurrently a Scientia Professor in Quantum Engineering at UNSW Sydney, an ARC Laureate Fellow and a Member of the Executive Board of the Sydney Quantum Academy. Diraq is a quantum computing startup pioneering silicon spin qubits, based in Australia. The discussion delves into the technical foundations, manufacturing breakthroughs, scalability, and future roadmap of silicon-based quantum computers—all with an industrial and commercial focus.Key Topics and Insights1. What Sets Diraq ApartDiraq's quantum computers use silicon spin qubits, differing from the industry's more familiar modalities like superconducting, trapped ion, or neutral atom qubits.Their technology leverages quantum dots—tiny regions where electrons are trapped within modified silicon transistors. The quantum information is encoded in the spin direction of these trapped electrons—a method with roots stretching over two decades1.2. Manufacturing & ScalabilityDiraq modifies standard CMOS transistors, making qubits that are tens of nanometers in size, compared to the much larger superconducting devices. This means millions of qubits can fit on a single chip.The company recently demonstrated high-fidelity qubit manufacturing on standard 300mm wafers at commercial foundries (GlobalFoundries, IMEC), matching or surpassing previous experimental results—all fidelity metrics above 99%.3. Architectural InnovationsDiraq's chips integrate both quantum and conventional classical electronics side by side, using standard silicon design toolchains like Cadence. This enables leveraging existing chip design and manufacturing expertise, speeding progress towards scalable quantum chips.Movement of electrons (and thus qubits) across the chip uses CMOS bucket-brigade techniques, similar to charge-coupled devices. This means fast (

Quantum computing has been "five years away" for decades, but when NVIDIA's Jensen Huang says we've hit an inflection point, Congress listens and stocks soar. The reality? We're still building very expensive proof-of-concepts. Today's quantum computers run on 100 qubits—impressive to physicists, useless to you. Commercial viability needs a million qubits, a 10,000x leap that's not incremental progress but a complete reinvention.Unlike the familiar tech story where room-sized computers became pocket devices, quantum is binary: it either works at massive scale or it's an elaborate academic exercise. There's no quantum equivalent of early PCs that could at least balance your checkbook—no useful middle ground between 100 qubits and a million.China wants quantum for cryptography: the master key to any lock. America's lead exists mostly on paper—in research publications and VC rounds, not deployed systems. Dr. Peter Shadbolt from PsiQuantum, fresh from congressional testimony, argues America must commit now or risk losing a race that could redefine pharmaceutical research and financial security. The real question: can a democracy sustain long-term investment in technologies that offer zero immediate gratification?

In this episode of The New Quantum Era, host Sebastian Hassinger sits down with Dr. Mark Saffman, a leading expert in atomic physics and quantum information science. As a professor at the University of Wisconsin–Madison and Chief Scientist at Infleqtion (formerly ColdQuanta), Mark is at the forefront of developing neutral atom quantum computing platforms using Rydberg atom arrays. The conversation explores the past, present, and future of neutral atom quantum computing, its scalability, technological challenges, and opportunities for hybrid quantum systems.Key TopicsEvolution of Neutral Atom Quantum ComputingThe history and development of Rydberg atom arrays, key technological breakthroughs, and the trajectory from early experiments to today's platforms capable of large-scale qubit arrays.Gate Fidelity and ScalabilityAdvances in gate fidelity, challenges in reducing laser noise, and the inherent scalability advantages of the neutral atom platform.Error Correction and Logical QubitsDiscussion of error detection/correction, logical qubit implementation, code distances, and the engineering required for repeated error correction in neutral atom systems.Synergy Between Academia and IndustryThe interplay between curiosity-driven university research and focused engineering efforts at Infleqtion, including the collaborative benefits of cross-pollination.Hybrid Quantum Systems and Future DirectionsPotential for integrating different modalities, including hybrid systems, quantum communication, and quantum sensors, as well as modularity in scaling quantum processors.Key InsightsNeutral atom arrays have achieved remarkable scalability, with demonstrations of arrays containing thousands of atomic qubits—well-positioned for large-scale quantum computing compared to other modalities.Advancements in laser technology and gate protocols have been crucial for improving gate fidelities, moving from early diode lasers to more stabilized, lower noise systems.Engineering challenges remain, such as atom loss, measurement speed, and the need for technologies enabling fast, high-degree-of-freedom optical reconfiguration.Logical qubit implementation is advancing, but practical, repeated rounds of error correction and syndrome measurement are required for fault-tolerant computing.Collaboration between university and industry labs accelerates both foundational understanding and the translation of discoveries into real-world devices.Notable Quotes“One of the exciting things about the Neutral Atom platform is that this is perhaps the most scalable platform that exists.”“Atoms make fantastic qubits — they're nature's qubits, all identical, excellent coherence… but they do have some sort of annoying features. They don't stick around forever. We have atom loss.”“Our wiring is not electronic printed circuits, it's laser beams propagating in space… That's great because it's reconfigurable in real time.”About the GuestMark Saffman is a Professor of Physics at the University of Wisconsin–Madison and the Chief Scientist at Infleqtion, a company leading the commercial development of quantum technology platforms using neutral atoms. Mark is recognized for his pioneering work on Rydberg atom arrays, quantum logic gates, and advancing scalable quantum processors. His interdisciplinary experience bridges fundamental science and quantum tech commercialization.Keywords: quantum computing, Rydberg atoms, neutral atom arrays, Mark Saffman, Infleqtion, gate fidelity, scalability, quantum error correction, logical qubits, hybrid quantum systems, laser cooling, quantum communication, quantum sensors, quantum advantage, optical links, atomic physics, quantum technology, academic-industry collaboration.---For more episodes, visit The New Quantum Era and follow on Bluesky: @newquantumera.com. If you enjoy the podcast, please subscribe and share it with your quantum-curious friends!

Das Internet ist aus unserem alltäglichen Leben nicht mehr wegzudenken: Wir nutzen es, um zu kommunizieren, einzukaufen, zu arbeiten und für vieles mehr. Seit den 1990er-Jahren schon arbeiten Forschende an einer neuen Version des Internets: dem Quanteninternet. Worin sich das Quanteninternet vom klassischen Internet unterscheidet, welche Anwendungen es verspricht und worin die technischen Herausforderungen liegen, berichtet Andreas Reiserer von der Technischen Universität München in dieser Folge des Podcasts. *** Ein Beitrag von Kim Hermann, gesprochen von Nurcan Özdemir. Aufnahme: Das Hörspielstudio Kreuzberg, Tonbearbeitung und Schnitt: Elias Emken und Daniel Lewy. Redaktion: Welt der Physik https://www.weltderphysik.de/ Welt der Physik wird herausgegeben vom Bundesministerium für Forschung, Technologie und Raumfahrt und von der Deutschen Physikalischen Gesellschaft. *** Die Website zum Podcast: https://www.weltderphysik.de/mediathek/podcast/quanteninternet/ Bei Fragen, Anmerkungen und Kritik schreibt uns: feedback@weltderphysik.de

On the latest episode of After Earnings, we spoke with Rigetti CEO Dr. Subodh Kulkarni about quantum science and its applications today. He talked about how Rigetti tries to compete with the quantum computing R&D budgets of Big Tech players, the company's push towards a 100-qubit processor, and the promise of new breakthroughs. $RGTI 00:00 Comparing quantum computers with the human brain 02:15 Qubits versus bits in quantum computing 04:30 The challenges of scaling quantum hardware 06:45 How Rigetti plans to reach 100+ qubits 09:05 The race against Big Tech in quantum development 11:20 Real-world applications of quantum computing 14:10 Why commercialization still faces hurdles 17:00 Rigetti's vision for the future of quantum computers After Earnings is brought to you by Stakeholder Labs and Morning Brew. For more go to https://www.afterearnings.com Follow Us X: https://twitter.com/AfterEarnings TikTok: https://www.tiktok.com/@AfterEarnings Instagram: https://www.instagram.com/afterearnings_/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a textIn this week's episode we discussed the fascinating world of quantum computing. Exploring how it works, why it's a game-changer, and what it means for the future of technology. From the basics of qubits and quantum algorithms to its potential to revolutionize industries like pharmaceuticals, AI, and cybersecurity, we break down the big ideas behind this cutting-edge field. We'll also explore the challenges, ethical considerations, and the race between tech giants and governments to unlock quantum's true potential.Our Links:Retrospect

PREVIEW: QUANTUM COMPUTING: Colleague Brandon Weichert reports on fresh information from Microsoft regarding "topological qubits" that can demonstrate untold speed in problem solving, all with the mysteries of instant communication unsolved. More later. 1958

A Note from James: "I have been dying to understand quantum computing. And listen, I majored in computer science. I went to graduate school for computer science. I was a computer scientist for many years. I've taken apart and put together conventional computers. But for a long time, I kept reading articles about quantum computing, and it's like magic—it can do anything. Or so they say. Quantum computing doesn't follow the conventional ways of understanding computers. It's a completely different paradigm. So, I invited two friends of mine, Nick Newton and Gavin Brennan, to help me get it. Nick is the COO and co-founder of BTQ Technologies, a company addressing quantum security issues. Gavin is a top quantum physicist working with BTQ. They walked me through the basics: what quantum computing is, when it'll be useful, and why it's already a security issue. You'll hear me asking dumb questions—and they were incredibly patient. Pay attention! Quantum computing will change everything, and it's important to understand the challenges and opportunities ahead. Here's Nick and Gavin to explain it all." Episode Description: Quantum computing is a game-changer in technology—but how does it work, and why should we care? In this episode, James is joined by Nick Newton, COO of BTQ Technologies, and quantum physicist Gavin Brennan to break down the fundamentals of quantum computing. They discuss its practical applications, its limitations, and the looming security risks that come with it. From the basics of qubits and superposition to the urgent need for post-quantum cryptography, this conversation simplifies one of the most complex topics of our time. What You'll Learn: The basics of quantum computing: what qubits are and how superposition works. Why quantum computers are different from classical computers—and why scaling them is so challenging. How quantum computing could potentially break current encryption methods. The importance of post-quantum cryptography and how companies like BTQ are preparing for a quantum future. Real-world timelines for quantum computing advancements and their implications for industries like finance and cybersecurity. Timestamped Chapters: [01:30] Introduction to Quantum Computing Curiosity [04:01] Understanding Quantum Computing Basics [10:40] Diving Deeper: Superposition and Qubits [22:46] Challenges and Future of Quantum Computing [30:51] Quantum Security and Real-World Implications [49:23] Quantum Computing's Impact on Financial Institutions [59:59] Quantum Computing Growth and Future Predictions [01:06:07] Closing Thoughts and Future Outlook Additional Resources: BTQ Technologies Website