NVIDIA today announced that it has named to its board of directors Suzanne Nora Johnson, effective July 13, 2026. Ms. Nora Johnson is the former Vice Chairman of The Goldman Sachs Group, Inc., where she spent two decades in various leadership roles, including serving as Chair of the Global Markets Institute, Head of Global Research and Head of Global Healthcare. She is expected to join the board’s Audit Committee on the effective date of her appointment. “Suzanne is an extraordinary leader whose career spans finance, technology, healthcare and public policy,” said Jensen Huang, founder and CEO of NVIDIA. “Her experience guiding global companies, together with her leadership at the forefront of education and philanthropy, will be an invaluable asset to NVIDIA’s board. We are honored to welcome her and look forward to her insight as we build the future in the age of AI.” Nora Johnson, 68, holds a J.D. from Harvard Law School and a B.A. from the University of Southern California. She serves on the board of directors of Pfizer Inc., where she is chair of the Audit Committee, a member of the Executive Committee and a member of the Regulatory & Compliance Committee. She also recently stepped down as the Board Chair of Intuit Inc., where she had served on the board of directors since 2007. Effective on July 13, 2026, NVIDIA’s board expands to 11 members.
May 8, 2026 · via nvidianews.nvidia.com
Scientists have created a new way to generate powerful quantum interactions, achieving the first-ever demonstration of quadsqueezing. This breakthrough makes previously hidden quantum effects visible and usable for advanced technologies. Oxford Scientists Demonstrate First-Ever Quadsqueezing Quantum Interaction Researchers at the University of Oxford have achieved a major advance in quantum physics by demonstrating a new kind of interaction using a single trapped ion. By carefully producing and controlling increasingly complex forms of “squeezing” – including a fourth-order effect called quadsqueezing – the team has made quantum behaviors observable that had previously been out of reach. The method also introduces a new way to design and control these interactions, with possible applications in quantum simulation, sensing, and computing. The findings were published on May 1 in Nature Physics. Quantum Oscillators and Their Role in Technology Many systems in physics behave like tiny vibrating objects, similar to springs or pendulums. In the quantum world, these are called quantum harmonic oscillators. This framework can describe light waves, molecular vibrations, and even the motion of a single trapped atom. The ability to control these oscillations is essential for a range of quantum technologies, including extremely sensitive measurement devices and emerging quantum computers. How Squeezing Improves Quantum Precision One widely used method for controlling quantum oscillators is known as squeezing. In quantum mechanics, there are limits on how precisely certain pairs of properties, such as position and momentum, can be measured at the same time. Squeezing redistributes this uncertainty, allowing one property to be measured more precisely at the cost of increased uncertainty in the other. This effect is already used in real-world applications. For example, squeezed light helps improve the sensitivity of gravitational-wave detectors such as LIGO. Moving Beyond Standard Squeezing Standard squeezing is only part of a broader class of interactions. Physicists have
May 8, 2026 · via scitechdaily.com
zapp2photo - stock.adobe.com Quantum moves from promise to practice at IBM Think 2026 Quantum computing is becoming a reality at major companies, from Boeing to Allstate. Quantum -- especially when paired with AI -- promises better business outcomes. BOSTON -- Quantum computing is finally producing results that matter to science and industry, according to presentations at IBM Think 2026. Quantum computing aims to use the unique behaviors of quantum physics to solve problems that are too complex for classical computing. It held a prominent spot alongside AI and hybrid cloud in the opening keynote of IBM Think, taking place in Boston this week. Presentations during the conference also included news that the Cleveland Clinic, RIKEN and IBM performed the largest-known simulation of biologically meaningful molecules with quantum hardware. Boeing and Allstate also presented on real-world quantum usage. While quantum computing has been in development for years, quantum advantage, the point at which quantum computers can perform computations more accurately and efficiently, has yet to arrive. IBM CEO Arvind Krishna predicted that quantum advantage will be reached within the year. "That's not 20 years away. That's not 10 years away. That's within this year," Krishna said during his keynote presentation on Tuesday. "The gap is closing faster than most people realize or appreciate." Quantum at work Cleveland Clinic, RIKEN and IBM used IBM quantum computers and two supercomputers -- Fugaku and Miyabi-G -- to simulate protein complexes spanning up to 12,635 atoms. The project's success was partly due to quantum-centric supercomputing, a hybrid approach that combines quantum computers with classical supercomputers to solve complex problems that neither could handle effectively on their own. This project simulated a system large enough to represent what exists in nature and achieved appropriate accuracy. In drug design, if scientists can reliably predict how molecules will
May 8, 2026 · via techtarget.com
New Taiwan adv. packaging site; M&A activity; GF’s CPO solution; Apple looks beyond TSMC; EU chip companies map; strong earnings; MIT’s new lidar chip; gallium production; AI inferencing at sea; quantum HW funding; PCIe 7 tool; home data centers; AI security warnings; temperature impact on EVs. ASE and WUS are jointly building a ~$1.1B advanced packaging hub in Kaohsiung, Taiwan, for fan-out chip-on-substrate (FOCoS) and flip-chip ball grid array (FC BGA) technologies. The new site is expected to be completed by September 2029. China is aiming to use 70% domestic chips by the end of this year, reports Nikkei Asia. Apple reportedly held early-stage talks with Intel and Samsung about producing main device processors in the U.S., as the company explores additional domestic manufacturing options beyond TSMC, according to Reuters. Discussions point to continued pressure on major chip customers to diversify advanced-node supply chains amid capacity, geopolitical, and U.S. manufacturing concerns. Siemens partnered with Xometry to develop an AI-native marketplace to bring together suppliers and buyers of custom manufacturing. Siemens also invested about $50M into Xometry, and noted it has invested $1B in U.S. manufacturing over the last 5 years. Nvidia and IREN inked a deal to deploy up to 5 GW of Nvidia’s DSX-aligned AI infrastructure across IREN’s Sweetwater, Texas campus, with NVIDIA receiving rights to invest up to $2.1B. Innovations Nvidia, PulteGroup, and Span are putting mini data centers in homes to take advantage of unused local grid electrical capacity. Panthalassa raised $140M to complete a pilot fab in Oregon and accelerate deployment of AI inferencing at sea using power generated from ocean waves. ST expects to generate more than $3B in cumulative space-related semiconductor revenue from 2026 through 2028, driven by demand for chips used in low-Earth orbit satellite networks. CEOs from ASML, Siemens, and five other
May 8, 2026 · via semiengineering.com
IonQ, D-Wave Quantum, Quantum Computing, and Horizon Quantum Computing Pte. are the seven Quantum Computing stocks to watch today, according to MarketBeat's stock screener tool. Quantum computing stocks are shares of companies whose businesses are materially tied to developing, manufacturing, supporting, or commercializing quantum computers and related technologies — this includes pure-play quantum startups, large tech firms with quantum divisions, component and materials suppliers, and thematic ETFs. For investors they represent a speculative, long‑horizon segment with high volatility and uncertain commercialization timelines, so investment decisions are often driven by R&D progress, partnerships, intellectual property, and a preference for diversification to manage single‑company risk. These companies had the highest dollar trading volume of any Quantum Computing stocks within the last several days. IonQ (IONQ) IonQ, Inc. engages in the development of general-purpose quantum computing systems in the United States. It sells access to quantum computers of various qubit capacities. The company makes access to its quantum computers through cloud platforms, such as Amazon Web Services (AWS) Amazon Braket, Microsoft's Azure Quantum, and Google's Cloud Marketplace, as well as through its cloud service. Read Our Latest Research Report on IONQ D-Wave Quantum (QBTS) D-Wave Quantum Inc. develops and delivers quantum computing systems, software, and services worldwide. The company offers Advantage, a fifth-generation quantum computer; Ocean, a suite of open-source python tools; and Leap, a cloud-based service that provides real-time access to a live quantum computer, as well as access to Advantage, hybrid solvers, the Ocean software development kit, live code, demos, learning resources, and a vibrant developer community. Read Our Latest Research Report on QBTS Quantum Computing (QUBT) Quantum Computing Inc., an integrated photonics company, offers accessible and affordable quantum machines. The company offers Dirac systems are portable, low power, and room temperature qubit and qudit entropy quantum computers (EQC); reservoir computing;
May 8, 2026 · via marketbeat.com
Alumni Spotlight: Ryan Levy Ryan Levy worked at the Center for Computational Quantum Physics (CCQ) at the Simons Foundation’s Flatiron Institute as a research fellow from September 2022 to June 2025. Levy received his Ph.D. in physics from the University of Illinois Urbana-Champaign in 2022, where his work spanned quantum Monte Carlo (QMC) methods, tensor networks and, more recently, quantum computing. We recently caught up with Levy to ask him what he’s been up to as he’s continued his career. The Flatiron Institute works to develop the next generation of computational scientists. Interested in joining us? See our careers page. Flatiron Institute alumni can also keep in touch by joining our alumni network. What are you doing now? I am the applications lead for Fundamental Research at PsiQuantum, where I help develop and guide applications for quantum computing, with a strong focus on lattice models in condensed matter such as the Hubbard model. I get to work both internally, at the intersection of algorithms, business and methodology teams, as well as with external partners (academia, labs, etc.) to explore how fault-tolerant quantum computers can advance basic research. What is one thing that you’ve taken away from your time at the Simons Foundation that helps you in your current role? Being exposed to very diverse scientific audiences, both within CCQ and across the foundation more broadly. It’s sometimes hard to see the scale that state-of-the-art science can achieve outside of your immediate domain, and the variety of speakers the foundation would regularly host really helped showcase this. What is the coolest adventure you’ve been on since you left? For my wife’s birthday, we decided to explore Long Island for a long weekend: hanging out with rescue cows and goats at a farm (we fed them animal crackers, hah!), getting fresh pie
May 8, 2026 · via simonsfoundation.org
Pangea 5: TotalEnergies unveils AI supercomputer with 6x computing power Pangea 5 will multiply TotalEnergies’ computing power sixfold for AI and seismic workloads. French energy major TotalEnergies is building a new high-performance supercomputer called Pangea 5 to expand its artificial intelligence and seismic imaging capabilities for energy exploration and research. The system will be installed at the company’s Jean Féger Scientific and Technical Center in Pau, France, and is expected to go live in 2027. The company said the supercomputer will increase its computing power sixfold compared to current systems. The project is being developed in partnership with Dell Technologies and NVIDIA and represents an investment of more than 100 million euros. Pangea 5 will be used to process complex geological and energy data, including advanced seismic imaging that helps energy companies map underground structures more accurately. TotalEnergies said the added computing power will also support AI-based research and integrated power system modeling. The company plans to use the platform to shorten computing times and improve analysis of complex industrial processes tied to energy production and transition technologies. AI powers energy search “Artificial intelligence and digital technology are strategic drivers of our energy transition. By increasing our computing power sixfold, we are strengthening our leadership in high-performance computing ensuring that our experts teams continue to have the means to push the envelope to support the development of our activities and meet the growing global demand for energy,” said Namita Shah, President, OneTech at TotalEnergies. The company said the system will rely on specialized processors optimized for massively parallel computing tasks. These chips are designed to process large-scale scientific and industrial workloads more efficiently than traditional computing systems. According to TotalEnergies, Pangea 5 will cut energy consumption by around 40 percent at equal performance levels compared to earlier versions. The cooling
May 8, 2026 · via interestingengineering.com
A new quantum uploading procedure accelerates the processing of data from physical experiments. Ishaan Kannan and colleagues at Harvard University demonstrate exponential speedups in both classical shadow tomography and the estimation of cubic observables, surpassing the performance of non-encoded adaptive strategies. The advance is key because it overcomes the challenge of noise when coupling a quantum processor to an experimental sample, maintaining learning efficiency even with imperfect hardware. The team validated their findings with a simulation of astronomical imaging, showing sharp reductions in the number of measurements needed to detect exoplanets, and establishing the potential of fault-tolerant quantum computation for scientific discovery. Embedding quantum states within error-correcting codes for noise durability Quantum uploading swiftly embeds an unknown quantum system into a protective quantum code; this is a method of protecting quantum information from errors, similar to how redundant data is used in traditional computing to ensure data integrity. This process immediately shields the quantum information, compressing any initial exposure to noise into a single, manageable step before fault-tolerant processing begins. The technique begins with a transduction stage, mapping the physical state from the experiment onto the quantum processor’s memory, followed by injecting that state into an error-correcting code, effectively creating a strong logical state Efficiency gains are substantial when performing learning tasks on this encoded state, circumventing the typical slowdowns caused by accumulating noise during analysis. Embedding a quantum system into an error-correcting code protects information from noise during processing. First, the physical state is transduced onto the quantum processor’s memory, then injected into the code, creating a strong logical state. The chosen approach compresses initial noise exposure into a single step, allowing for fault-tolerant processing and circumventing typical slowdowns; the code distance can be arbitrarily high with constant error overhead. Quantum uploading enhances exoplanet detection and quantum state characterisation
May 8, 2026 · via quantumzeitgeist.com
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May 8, 2026 · via youtube.com
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May 8, 2026 · via youtube.com
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May 8, 2026 · via youtube.com
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May 8, 2026 · via youtube.com
Quantum Risk Explained: What, When, How? Summary - Quantum computing is moving from theory toward early practical use, with direct implications for encryption, authentication, and long-term data confidentiality. - The primary risk is the eventual emergence of cryptographically relevant quantum computers (CRQCs), which would break today’s public-key cryptography and undermine encryption, digital identity, and software trust at scale. - Quantum risk is already present: “harvest now, decrypt later” activity exposes long-lived sensitive data today, regardless of when CRQCs ultimately arrive. - Regulatory mandates and procurement standards are accelerating post-quantum cryptography (PQC) adoption, making quantum readiness a multi-year compliance and resilience priority. - Organizations that delay preparation beyond 2026 are likely to face compressed migration timelines, higher transition costs, and increased operational disruption. Quantum Computing Explained Quantum computing applies principles of physics to solve certain complex problems far more efficiently than classical computers. Its security relevance lies primarily in cryptanalysis and optimization: A sufficiently powerful quantum computer will reduce the calculations required to protect today's public-key encryption from thousands of years to hours or less. Researchers have used the term “Q-Day” to refer to the hypothetical point at which quantum computers will be powerful enough to break encryption. Quantum computing is now moving from theory toward early practical use, bringing “Q-Day” closer to reality. Industry estimates suggest quantum computing alone could generate up to $1.3 trillion in value by 2035. Major cloud providers, including IBM, Google, and Microsoft, are expanding their quantum services, while specialised firms such as Quantinuum and PsiQuantum continue to improve system stability and error correction. While these advances are not yet transformative, they are consistent with the early stages of commercial adoption. Alongside its potential benefits across finance, pharmaceuticals, defense, and other sectors, quantum computing introduces four key security risks. Risk 1: Breaking Public-Key Encryption The most
May 8, 2026 · via recordedfuture.com
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May 7, 2026 · via youtube.com
As the United States marks its 250th anniversary, WTOP presents “250 Years of America,” a multipart series examining the innovations, breakthroughs and pivotal moments that have shaped the nation since 1776. Knox Systems is proud to partner with WTOP to bring you this series. When Allied codebreakers cracked encrypted messages during World War II, the course of the conflict shifted dramatically — but those victories were years in the making. The Allies gained a decisive edge by reading German military communications very early in the war. That advantage didn’t happen overnight. It was the result of years of work by Polish and British mathematicians, who laid the groundwork for breaking the complex codes used by the German military. Their efforts, along with the work of cryptanalysts who broke Japanese codes, gave the Allies access to information that would prove critical in major battles and strategic decisions. By late 1940, U.S. Army and Navy teams were able to read Japanese diplomatic traffic between Tokyo and its embassies in major cities. This ability to intercept and understand enemy communications allowed Allied leaders to anticipate moves, plan counterattacks and avoid deadly traps. According to the National Museum of the U.S. Air Force, these breakthroughs saved countless lives and may have shortened the war by as much as two years. The story of World War II code breaking isn’t just a tale of secret rooms and mysterious machines — it’s a lesson in the importance of preparation and innovation. The nations that invested early in cryptography and code breaking technology held the advantage when it mattered most. The Allies’ readiness to tackle encrypted messages gave them a head start that paid off in the heat of battle. Fast forward to today, and some experts see a parallel in the race for quantum computing. Quantum
May 7, 2026 · via wtop.com
Findings show many women are more concerned about affording care than developing serious diseases — with gaps in prevention and clear information shaping their decisions Content is property of Cleveland Clinic and for news media use only. Maria Shriver (left) and Beri Ridgeway, M.D., at the Global Women’s Health + WAM Forum on May 7. A new national report from Cleveland Clinic’s Women’s Comprehensive Health and Research Center highlights gaps in how women across generations understand, access and manage their health. The findings show that financial concerns, inconsistent engagement with preventive care and limited access to clear, credible information are influencing health decisions at every stage of life. For many women, these challenges are not abstract — they are shaping real decisions about when and how to seek care. Based on a survey of 2,000 women ages 18 and older, the report finds that while many women are taking steps to support their health, several challenges continue to affect how and when they seek care. Nearly half of women (45%) say their biggest concern as they age is not having enough money to take care of their health — more than those who cite serious conditions like cancer, heart disease or Alzheimer’s disease as their primary concern. “This report makes one thing clear: women’s health is in crisis with persistent and consequential gaps in how women understand and manage their health across the lifespan,” said Maria Shriver, founder of the Women’s Alzheimer’s Movement (WAM) at Cleveland Clinic and co‑founder of the Cleveland Clinic Women’s Comprehensive Health and Research Center. “Too many women lack clear information about their health risks, and too many are unsure whether they can afford the care they need. By addressing these gaps in knowledge, access, and affordability, we have a meaningful opportunity to improve health outcomes
May 7, 2026 · via newsroom.clevelandclinic.org
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May 7, 2026 · via youtube.com
About the research collaboration
This research was conducted through a collaboration between KPMG Quantum Research, IBM, and Kipu Quantum, combining enterprise problem framing, quantum algorithm design, and execution on leading quantum hardware platforms.
The work focuses on translating cutting‑edge quantum science into practical, enterprise‑ready machine‑learning applications—grounded in measurable outcomes rather than theoretical benchmarks.
All findings were developed and authored by human researchers using established classical and quantum machine learning methodologies.
May 7, 2026 · via kpmg.com
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May 7, 2026 · via youtube.com
Quantum Motion, a developer of silicon transistor-based quantum computers, has closed a $160 million Series C funding round. The investment was co-led by DCVC and Kembara (the deep-tech fund of Mundi Ventures), with significant new participation from the British Business Bank and Firgun. The round also saw full support from existing investors, including Oxford Science Enterprises, Inkef, Bosch Ventures, Porsche Automobil Holding SE, and Parkwalk Advisors. This financing positions Quantum Motion as the UK’s best-funded quantum computing company and is intended to accelerate the commercialization of utility-scale systems that utilize existing CMOS manufacturing processes. The Silicon Transistor Advantage Quantum Motion’s architecture is built on the premise that quantum information can be processed using the same silicon transistor technology found in modern smartphones and laptops. By utilizing quantum dots to trap single electron spins, the company can manufacture qubits within standard semiconductor foundries. This approach offers a significant reduction in physical and resource overhead compared to other modalities; the company reports a 100-fold reduction in cost and space requirements and a 1,000-fold reduction in energy consumption relative to industrial-scale architectures that require bespoke, multi-megawatt facilities. Deployment and Manufacturing Integration The Series C follows the 2025 deployment of a full-stack silicon CMOS quantum computer at the UK National Quantum Computing Centre (NQCC). This system demonstrated single and two-qubit gates, entanglement, and reliable measurement within a footprint of only three standard server racks. To ensure a scalable supply chain, Quantum Motion has deepened its manufacturing partnership with GlobalFoundries, allowing its roadmap to integrate directly into commercial 300mm wafer production lines. This strategy aims to deliver “utility-scale” processors that fit within existing data center racks rather than requiring dedicated buildings. International Expansion and Talent Growth Since 2023, Quantum Motion has expanded its global operations, opening new laboratories and offices in Spain and Australia to
May 7, 2026 · via quantumcomputingreport.com