Off the Wire Press Releases SEOUL, South Korea, June 8, 2026 — NVIDIA and SK hynix have announced a multiyear technology partnership to advance next-generation memory for the global AI factory buildout and accelerate semiconductor design and manufacturing. The agreement builds on years of deep co-engineering collaboration that has powered some of the world’s most advanced AI computing platforms. “AI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance,” said Jensen Huang, founder and CEO of NVIDIA. “SK hynix has been an extraordinary partner to NVIDIA, playing a central role in delivering advanced memory technologies for NVIDIA AI computing platforms. Together, we will codevelop the next generation of memory for AI factories and support the accelerating global expansion of AI infrastructure — from frontier model training to agentic and physical AI.” “SK hynix and NVIDIA have been building toward this for years, and this partnership reflects the depth of that collaboration,” said Chey Tae-won, Chairman of SK Group. “Together, we are codeveloping the next generation of memory for AI factories and applying AI to how we design and manufacture semiconductors — work that will shape the future of AI infrastructure.” The multiyear agreement supports supply to address the extended development cycles of advanced memory. As AI factories scale globally, this strategic partnership enables memory supply to keep pace with NVIDIA’s infrastructure roadmap and the sustained buildout of AI infrastructure worldwide. Through this partnership, SK hynix will diversify into new markets NVIDIA is creating — spanning AI infrastructure, personal AI and physical AI — codeveloping memory for NVIDIA Vera Rubin AI supercomputers, NVIDIA Vera CPUs, NVIDIA RTX Spark-powered PCs and NVIDIA Jetson Thor robotic computing platforms. Accelerating Technology Computer-Aided Design and Semiconductor Simulation SK hynix is using NVIDIA CUDA-X libraries and AI to
Jun 8, 2026 · via hpcwire.com
WISeKey, The Hashgraph Group and Hedera Launch QAIT Q-Day Security Assessment Platform on the SEALCOIN Quantum Marketplace Rhea-AI Summary WISeKey (NASDAQ: WKEY), The Hashgraph Group and Hedera launched the QAIT Q-Day Security Assessment Platform on the SEALCOIN Quantum Marketplace to help enterprises, governments and critical infrastructure assess quantum-era cybersecurity risks. The platform uses AI and Hedera’s distributed ledger, with QAIT as utility token, and first-phase global rollout planned for 2026. AI-generated analysis. Not financial advice. Positive - Launch of QAIT Q-Day platform creates new quantum-security service offering - SEALCOIN Quantum Marketplace introduces dedicated environment for quantum-era cybersecurity services - QAIT token gains defined transactional utility across assessments and marketplace services - Partnership leverages Hedera’s distributed ledger and The Hashgraph Group’s engineering ecosystem - Target customer base spans enterprises, public sector and critical infrastructure globally Negative - First platform phase not scheduled to launch until 2026 - No quantified revenue, pricing, or adoption metrics disclosed for the new services Key Figures Market Reality Check Peers on Argus WKEY was down 11.5% while peers like PXLW (-3.62%), GCTS (-12.42%), ICG (-8.77%) and QUIK (-11.74%) were also weak, but only one peer (MX at -3.61%) appeared in the momentum scanner, so the move screens as more stock-specific than a broad sector rotation. Historical Context | Date | Event | Sentiment | Move | Catalyst | |---|---|---|---|---| | Jun 04 | F-4 combination filing | Positive | +4.8% | Amended Form F-4 for WISeSat.Space and Columbus Acquisition Corp combination. | | May 29 | Token utility integration | Positive | -10.5% | QAIT token confirmed as SEALCOIN utility across multiple exchanges and IoT uses. | | May 29 | AGM agenda announcement | Neutral | -10.5% | Standard AGM items including reports, board elections and compensation votes. | | May 20 | AI robotics
Jun 8, 2026 · via stocktitan.net
The keynote address at Microsoft's developers conference was packed with speakers and announcements, led by the unveiling of wearable artificial intelligence developments called Project Solara, which we already covered here, but several other announcements also caught the eye. It was actually at the end of the presentation that Microsoft CEO Satya Nadella dropped a bombshell of sorts, a la "One more thing" in the style of Steve Jobs: The company announced a new quantum processor called Majorana 2, whose main innovation is that the qubits, the basic units of information–similar to the zeros and ones in conventional computers–maintain stability for 20 seconds and even up to a minute. This might not sound like much, but it represents an insane leap in the stability of quantum processors–until today, qubits lasted for mere fractions of a second, making this a thousandfold improvement that paves the way for full-scale quantum computing within just a few years. Dr. Tomer Simon, Chief Scientist of Microsoft Israel, predicts that this could happen within as little as three years. Between quantum processors and wearable artificial intelligence, Microsoft also showcased its new computer in action, the Surface Laptop Ultra, which is based on Nvidia's new artificial intelligence chip, the RTX Spark, instead of familiar processors, and demonstrated its insane capabilities such as locally running a model with 120 million parameters that occupied 99 gigabytes(!) out of the processor's 128 built-in gigabytes. At the moment, it appears that this super-powerful personal computer is intended primarily for developers and designers, and less for ordinary mortals. Microsoft further announced a series of developments in the field of artificial intelligence and its intelligent agents environment, including the integration of intelligent agents into environments like GitHub and the expansion of its security products, such as Defender and others, to also protect against the
Jun 8, 2026 · via jpost.com
Keith Fitz-Gerald’s New ETF Is Betting Against Diversification The FITZ fund goes against the grain, arguing that just 30 top-performing stocks will beat broad market indexes. Sign up for exclusive news and analysis of the rapidly evolving ETF landscape. Sick of being told not to put all your eggs in one basket? The recently-launched Fitz-Gerald Must Have Portfolio (FITZ) from XFUNDS is an actively-managed ETF, which currently consists of 30 companies that market researcher and strategist Keith Fitz-Gerald said are must-have stocks. Fitz-Gerald, who has more than four decades of experience on Wall Street and is a frequent collaborator of Main Street favorite Suze Orman, argues that long-term returns are concentrated in a shrinking group of dominant businesses. He selected stocks such as Apple, JPMorgan Chase, Chevron and Eli Lilly.. It may be a hard sell given that a cardinal rule of investing is to diversify, and it comes with a relatively high expense ratio of 0.75%. But Fitz-Gerald said the fund can benefit young professionals who want to invest in companies that are going to be around for decades, as well as pre-retirees and retirees who want the potential for high returns. “If you own hundreds or thousands of stocks spread across a bunch of different ETFs and funds, you’re never going to have enough of the right stocks to really move the needle,” Fitz-Gerald told ETF Upside. “If we do our job properly, then the difference between owning the right amount of Nvidia and just the S&P 500 index fund is going to be significant.” Funds with Faces As more investors gravitate to ETFs, there has been a rise in funds that promise investors the ability to capitalize on one expert’s recommendation, such as the Dan IVES Wedbush AI Revolution ETF (IVES) and Cathie Wood’s suite of ARK
Jun 8, 2026 · via thedailyupside.com
- Most surveyed technology leaders are accountable for systems they don't fully control - Only 11% of respondents say they're completely prepared for the scale of AI agent deployment - Organizations that design control into their AI systems achieve significantly stronger performance outcomes. ARMONK, N.Y., June 8, 2026 /PRNewswire/ -- A new IBM (NYSE: IBM) Institute for Business Value study reveals that as AI moves from experimentation to enterprise-wide deployment, two-thirds of surveyed CIOs and CTOs report being held accountable for AI systems they do not fully control, while governance struggles to keep pace at scale. The global study* of 2,000 C-level technology executives (tech CxOs) finds that the lack of visibility is widespread. The majority of surveyed executives (70%) say teams across the business are deploying technology faster than IT can track. At the same time, technology leaders face growing pressure to scale AI faster, even as many lack the structures to support it. By 2027, surveyed tech CxOs anticipate a 38% increase in the number of AI agents deployed. While 80% of respondents report CEO-driven AI transformation mandates, only 11% believe they are fully ready for the scale of AI agent deployment expected in the next year. Governance is also falling behind, with 77% of organizations surveyed reporting AI adoption is already outpacing current governance capabilities. "For CIOs and CTOs, the challenge now is scaling AI systems that operate continuously and autonomously, often within governance models and architectures designed for a far slower, more predictable environment," said Matt Lyteson, CIO, IBM. "It is no longer just about deploying AI faster. It's redesigning how organizations control, govern and invest in it and embedding control and visibility from the start, so they can scale with confidence." As AI scales, operational and security risks are growing - Analysis shows that in
Jun 8, 2026 · via prnewswire.co.uk
Why Active Fixed-Income Launches Aren’t Slowing Down Demand for high-yielding fixed-income funds is driving a wave of innovation across the space. Sign up for exclusive news and analysis of the rapidly evolving ETF landscape. The bond market is far from fixed. More ETF providers are diving headfirst into the world of active fixed-income funds, with Vanguard launching a bond index ETF (VCHY) last week that provides index‑based exposure to high‑yield corporate bonds. The fund is unique in that it offers a lower-cost way for investors to access high-yield fixed-income products, which typically have higher expense ratios. (The average fund fee in this category is 0.44%, while VCHY’s fee is .05%.) The move is the latest by a major fund manager to bring active fixed-income to the retail space, and it’s emblematic of the industry-wide growth into new areas like collateralized loan obligations, said Greg Stumm, CEO of American Beacon Partners. “You don’t really see a lot of CLO mutual funds,” Stumm said. “But with the growth of the CLO market and the way the ETFs trade, they’re able to take active strategies into the CLO space, which is kind of a whole new area for the wealth market.” Where No Manager Has Gone Before Fixed-income ETFs have been around since the early 2000s, but now managers are more willing to launch funds that wouldn’t have been advisable (or possible) five years ago, Stumm said. Vanguard’s new fund tracks a market‑value‑weighted index that provides exposure to corporate bonds with the goal of limiting issuer concentration, which can happen when a fund’s portfolio is weighted unevenly toward a small number of underlying companies. “Our goal has been to take the expertise we’ve built over decades in active fixed-income mutual funds and extend that … into the ETF wrapper,” said Brad Collins, a
Jun 8, 2026 · via thedailyupside.com
Quantum computing and quantum security company Korea Quantum Computing (KQC) said on Wednesday it successfully completed a proof-of-concept (PoC) project for post-quantum cryptography (PQC)-based security technologies together with LS ITC, the IT services unit of LS Group. According to KQC, the PoC was designed to prepare for security threats posed by agentic AI-driven hacking and future quantum computers in smart infrastructure and manufacturing environments. The company said it verified the practical applicability of quantum security technologies across authentication, access control and operational management systems. KQC said the project applied PQC-based FIDO authentication keys to strengthen user login security systems within LS Group. The companies also tested a centralized secret management system for server-to-server communications to control authentication and connectivity between servers. The verification demonstrated that consistent security levels could be maintained even in distributed industrial system environments, the company said. The companies also tested a framework that automates the full process of issuing and renewing certificates. The move comes as SSL/TLS certificate validity periods continue to shorten. KQC and LS ITC said the PoC confirmed meaningful results in terms of operational feasibility and efficiency in real-world environments. "This PoC proactively verified industrial security systems in preparation for the quantum computing era," LS ITC said. "We plan to review full-scale deployment and application of the technology across key systems going forward."
Jun 8, 2026 · via thelec.net
OQC has closed an oversubscribed £260 million ($350 million) Series C funding round, the largest ever private funding round for a quantum computing company in Europe. Bullhound Capital led the round, which included investment from the British Business Bank, Fynveur, COFIDES, RCM Private Markets Fund managed by Rokos Capital Management, Alpha Edison, Fulcrum Asset Management, Pentland Ventures, Magdalen College Oxford, and others. Existing investors, including Oxford Science Enterprises, SBI, Chevron Technology Ventures, the University of Tokyo Edge Capital Partners, and OTIF Ventures, also participated. J.P. Morgan acted as the exclusive placement agent. The round establishes OQC as one of the world’s best-capitalized private quantum computing companies. Founded in the UK, OQC develops and operates superconducting quantum computers designed for deployment in data-centre environments serving enterprise and government customers. The company has built a global quantum computing platform across Europe, North America, and Asia, with systems currently deployed in the UK, U.S., Japan, and Spain. Enterprise and government customers across financial services, defense, and security are driving demand for OQC’s systems as they seek secure, scalable quantum infrastructure to tackle problems beyond the practical reach of classical computing. The funding will be used to expand OQC’s operational presence in priority markets and accelerate its roadmap toward commercially useful, fault-tolerant quantum computing, including the development of OQC TITAN. The raise comes as the UK government has committed up to £2 billion to help UK quantum companies reach commercial scale as part of its broader science and innovation strategy. The round attracted substantial international participation, with Per Roman of Bullhound Capital joining OQC’s board, alongside existing board member Nigel Higgins, Chair of Barclays. The company’s ability to attract capital of this scale reflects growing confidence in the commercialisation of quantum technologies and the UK’s capacity to build globally competitive deep tech companies. KEY
Jun 8, 2026 · via pulse2.com
Quobly, a French quantum computing company, has announced the closing of a €115 million Series A financing round to accelerate the industrialization of its silicon-based quantum computers and bring its first commercial product to market by the end of 2026. The round is led by Bpifrance, SEALSQ, and STMicroelectronics, with participation from the European Innovation Council Fund, Blast, ALIAD, and existing investor Innovacom. Existing shareholders also include the CEA, CNRS, Quantonation, and Supernova Invest. Bpifrance is participating through its Deep Tech 2030 fund, managed on behalf of the French government as part of the France 2030 initiative. Founded in 2022 and headquartered in Grenoble, France, Quobly’s approach is built on FD-SOI technology on 300mm wafers, leveraging established semiconductor manufacturing processes to address key challenges in quantum computing scalability, yield, and reproducibility. The company develops silicon qubits designed for dense integration and compatibility with industrial fabrication standards — a manufacturing-first philosophy that sets it apart from quantum computing approaches that rely on more exotic or difficult-to-scale hardware. Strategic partnerships with STMicroelectronics, Air Liquide, Soitec, and Orano accelerate the transfer of Quobly’s quantum technologies into advanced manufacturing environments, covering process control, materials engineering, cryogenics, and yield optimization. The financing will support the deployment of Alloy Pioneer, the first product in Quobly’s Alloy line, which is designed for early adopters in high-performance computing and research environments. Alloy Pioneer will be accessible through the cloud in 2026 before deployment within HPC infrastructures in 2027, and is accessible through Alloy Forge, Quobly’s quantum application development environment. The fresh capital will also fund continued R&D, industrialization of silicon quantum processors, and international commercial expansion. The Series A follows a €19 million seed phase from 2023 to 2025 during which Quobly demonstrated the feasibility of developing silicon qubits within semiconductor manufacturing processes. KEY QUOTES: “This financing marks
Jun 8, 2026 · via pulse2.com
The market shrugged off Power & Instrumental (Gujarat) Limited's (NSE:PIGL) solid earnings report. We think that investors might be worried about some concerning underlying factors. One essential aspect of assessing earnings quality is to look at how much a company is diluting shareholders. As it happens, Power & Instrumental (Gujarat) issued 32% more new shares over the last year. Therefore, each share now receives a smaller portion of profit. To celebrate net income while ignoring dilution is like rejoicing because you have a single slice of a larger pizza, but ignoring the fact that the pizza is now cut into many more slices. Check out Power & Instrumental (Gujarat)'s historical EPS growth by clicking on this link. How Is Dilution Impacting Power & Instrumental (Gujarat)'s Earnings Per Share (EPS)? Power & Instrumental (Gujarat) has improved its profit over the last three years, with an annualized gain of 299% in that time. But EPS was only up 36% per year, in the exact same period. And the 23% profit boost in the last year certainly seems impressive at first glance. But that's starkly different from the 32% drop in earnings per share. Therefore, one can observe that the dilution is having a fairly profound effect on shareholder returns. If Power & Instrumental (Gujarat)'s EPS can grow over time then that drastically improves the chances of the share price moving in the same direction. However, if its profit increases while its earnings per share stay flat (or even fall) then shareholders might not see much benefit. For the ordinary retail shareholder, EPS is a great measure to check your hypothetical "share" of the company's profit. Our Take On Power & Instrumental (Gujarat)'s Profit Performance Each Power & Instrumental (Gujarat) share now gets a meaningfully smaller slice of its overall profit, due to
Jun 8, 2026 · via simplywall.st
⚡ Bitcoin consumes energy to find hashes. ⚛️ @dac_chain proposes Proof of Quantum Work (PoQW)—a consensus mechanism where mining is based on quantum hashing. 📖 The https://t.co/Osjwa9UbmI states that: 🔹 Grover’s algorithm provides a quantum advantage over classical PoW; 🔹 quantum computations become part of the consensus mechanism itself; 🔹 energy consumption can be more than 99% lower than in Bitcoin. 🚀 The future of mining may belong to blockchains that aren’t afraid of quantum computers—but use them. #DAC
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Jun 7, 2026 · via kucoin.com
Welcome to this week’s quantum technology digest. This collection summarizes ten recent developments across the field, from hardware advancements to key business milestones and emerging security measures. The past week demonstrates continued and diverse progress in building practical quantum computers and preparing for a post-quantum world. Investment and commercialization remain prominent themes. IBM’s substantial $10 billion commitment, alongside the public trading of Quantinuum and funding rounds for IQM and OQC, signal growing confidence in the sector’s long-term viability. Multiple teams—IonQ, Atom Computing, and Microsoft—reported progress on error correction, a critical challenge for building stable quantum systems. This week also saw increased access to quantum hardware via Amazon Braket, with the addition of Rigetti’s 108-qubit processor. Microsoft is actively integrating post-quantum cryptography into its Windows services, reflecting a proactive approach to future-proofing digital infrastructure. Taken together, these articles illustrate a maturing field moving beyond research and toward real-world application. 1. IBM Invests $10 Billion to Accelerate Quantum Computing Development IBM is investing $10 billion over five years to advance quantum computing research, manufacturing, and ecosystem development. The funding will focus on building fault-tolerant quantum computers, with goals including systems capable of one billion quantum operations using 2,000 qubits. Key hardware developments include the Starling and Blue Jay systems, alongside continued support for the Qiskit software platform and IBM’s global quantum computer fleet. This investment aims to strengthen U.S. leadership and expand access to quantum technology for over 340 organizations. 2. IonQ Demonstrates Quantum Error Correction Exceeds Physical Qubit Lifetimes IonQ has demonstrated that its error-corrected qubits now outperform the raw physical qubits they are built from, a key milestone for practical quantum computing. Using a 40-ion system, the team tested nine distinct error-correcting codes, including qLDPC and toric codes, and achieved logical qubit lifetimes comparable to, and in some cases exceeding,
Jun 7, 2026 · via quantumzeitgeist.com
J. Montes of the Technical University of Madrid and colleagues have discovered that noise can unexpectedly benefit quantum computation. A geometric mechanism explains how non-unital noise, when combined with standard quantum gates, accelerates the creation of diverse final states. The findings reveal that specific noise induces an expansion of the space of possible quantum states, effectively enriching computational dynamics. Using a single qubit model and the G3 universal gate set, the team analytically determined conditions under which this expansion occurs, suggesting noise could be harnessed as a resource to improve future quantum algorithms. Noise-induced state space expansion enables faster randomisation in quantum computation Error rates fell below 1/2 when amplitude damping was combined with the G3 universal gate set, a threshold unattainable in noiseless systems. This improvement represents a fundamental shift in understanding. Achieving Haar-like distributions, indicative of maximal randomness, previously demanded exponentially increasing computational resources, but noise now accelerates this process. The noise induces an effective expansion of the ‘manifold of pure states’, the space defining all possible quantum states, enriching the computational field. Amplitude damping, a specific type of quantum noise mimicking energy loss, combined with the G3 set of quantum gates, a standard toolkit for building quantum computers, facilitated a faster approach to Haar-like distributions of quantum states. This geometric mechanism, driven by the parameter γ representing the probability of relaxation, allows for quicker exploration of the state space and potentially unlocks new avenues for quantum algorithm design. Renormalization, a technique projecting mixed states back onto pure states, revealed an effective expansion of the space defining all possible quantum states, observed using a single qubit model. An analytical derivation of a local area expansion factor identified a threshold beyond which this expansion occurs, demonstrating that noise accelerates the creation of maximal randomness, previously requiring exponentially increasing computational
Jun 7, 2026 · via quantumzeitgeist.com
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Jun 7, 2026 · via youtube.com
- United States - / - Software - / - NasdaqCM:PGY Should Pagaya’s Earnings Beat and $600M Notes Offering Require Action From Pagaya Technologies (PGY) Investors? - Pagaya Technologies recently completed a US$600,000,000 structured notes offering at 100% of principal and reported first-quarter 2026 earnings per share of US$0.73, well ahead of forecasts. - Alongside this, CEO Gal Krubiner increased his shareholding and the company appointed Terry O’Neil as Chief Commercial Officer, highlighting management’s commitment to scaling partnerships and products. - We’ll now examine how the strong earnings surprise and Terry O’Neil’s appointment as Chief Commercial Officer shape Pagaya’s investment narrative. This technology could replace computers: discover 30 stocks that are working to make quantum computing a reality. Pagaya Technologies Investment Narrative Recap If you are a Pagaya shareholder, you likely believe its AI underwriting platform can deepen relationships with lenders and funding partners, driving higher network volumes and fee income. In the near term, the key catalyst is continued partner adoption and execution on these integrations, while a major risk is any regulatory or credit-quality setback that undermines trust in its models. The latest earnings surprise and US$600,000,000 notes offering support this execution story, but do not remove those core risks. Among the recent news, Terry O’Neil’s appointment as Chief Commercial Officer looks most relevant, as it directly ties to expanding and monetizing Pagaya’s partner network. With O’Neil focused on commercial relationships, this hire sits at the heart of the adoption and partnership ramp that many investors view as crucial to Pagaya’s next leg of growth and to testing how durable its current earnings power really is. Yet while the near term looks encouraging, investors should be aware that concentrated partner exposure could still... Read the full narrative on Pagaya Technologies (it's free!) Pagaya Technologies' narrative projects $1.9 billion
Jun 7, 2026 · via simplywall.st
IonQ's 3.95-Second Break-Even: A Quantum Milestone That Couldn't Shield the Stock from a 20% Weekly Rout 07.06.2026 - 19:05:10 | boerse-global.deIonQ achieved something no quantum computing company has publicly demonstrated before: a logical qubit that outperforms its physical parts. On June 5, the company reported that logical qubits maintained coherence for 3.95 seconds, surpassing the 3.3-second benchmark of the underlying physical qubits, using qLDPC error-correction codes for the first time. It was a milestone that separates laboratory curiosities from systems that could someday handle real workloads. Yet the market responded with its own arithmetic. By Friday, IonQ shares had shed 12.49% in a single session, closing at €49.47, and the weekly loss stretched to 19.93%. The disconnect between technical progress and stock performance is stark — and exactly what management will confront this week at two major investor events. The Qubit That Outlasted Its Foundation The error-correction test ran nine distinct codes on a stationary chain of 40 barium-133 ions, IonQ's signature trapped-ion platform. The key number is 3.95 seconds: the longest coherence time achieved by any logical qubit in the experiment. The physical qubits beneath it managed only 3.3 seconds. That crossover — the break-even — is what the entire field has been chasing. Error correction typically adds fragility; IonQ showed it can add stability. This is not a theoretical exercise. Quantum computers fail in practice because qubits lose their quantum states too quickly. A logical qubit that lasts longer than its physical components means the overhead of error correction is paying off. IonQ has now built a bridge between what's possible in a lab and what's necessary for commercial applications. Should investors sell immediately? Or is it worth buying IonQ? Revenue Explosion, But Cash Burn Continues Financially, IonQ is growing at a pace that would make any startup
Jun 7, 2026 · via ad-hoc-news.de
The increasing complexity of quantum computers is driving a surprising reliance on classical computing infrastructure, as Nvidia announced in April new AI-based software designed to accelerate the essential classical tasks that underpin quantum operations. While quantum bits, or qubits, are inherently requiring constant calibration and error correction, digital computer chips operate flawlessly and can perform trillions of operations without error, a stark contrast highlighting the current need for robust classical support. Sydney-based Q-CTRL is now leveraging Nvidia’s agent-based system with its own automatic calibration algorithm to address this challenge, joining IBM Quantum, Riverlane, and Google Quantum AI in developing similar tools. “The cheapest and fastest way to execute most computer programs is to run them on a classical computer—even if a quantum computer is available,” says Adam Zalcman, a quantum software engineer at Google Quantum AI, emphasizing that hybrid quantum-classical architectures are likely the most practical path forward. Qubit Calibration Processes for Quantum Hardware Tuning The stark contrast between the reliability of classical and quantum computing components necessitates increasingly sophisticated calibration processes for qubits. This disparity underscores the significant classical infrastructure currently required to operate even early quantum systems, a point often underappreciated as the field advances. Calibration isn’t simply an initial setup; it’s a continuous process vital for mitigating the inherent instability of qubits and ensuring accurate computation. Tuning these quantum components begins with a painstaking “bring up” phase, determining crucial parameters like resonance frequency, quantum state coherence, and sensitivity to control pulses. All of these factors directly influence a qubit’s error propensity and response to signals. Historically, this process has been a manual undertaking, requiring expertise and consuming considerable time, potentially days or even weeks, according to Jay Guilmart, lead product manager at Q-CTRL. Recognizing the limitations of this approach, companies like Q-CTRL are driving automation, developing intelligent
Jun 7, 2026 · via quantumzeitgeist.com
Quantum computing's fault tolerance race took four concrete steps in the first week of June 2026, as Microsoft, the Dutch firm QuiX Quantum, and a Japan-Denmark photonics alliance each tackled a different obstacle between today's fragile machines and a computer that can fix its own errors faster than they pile up. On June 2, at its Build conference, Microsoft reported that its Majorana 2 chip held a qubit's quantum state for a mean of 20 seconds; the next day, QuiX installed a control unit that reacts to single photons in about 150 nanoseconds; and in Tokyo, three companies signed a deal to mass-produce the optical hardware that cold-atom machines depend on. For anyone tracking when quantum computers might break encryption or speed drug discovery, the week's signal is that the industry has shifted its attention from raw qubit counts to qubit reliability — the metric that actually gates useful computation. None of these results delivers a useful quantum computer, and the companies say so plainly. Every device described here is a prototype or a single subsystem, and even the most aggressive published roadmaps point to the end of the decade before a commercially valuable machine could exist. What changed in early June is the credibility of the path, not the arrival of the destination. Logical Qubits, Not Physical Qubits, Decide When Quantum Gets Useful Qubits are easily destroyed. A stray vibration, a flicker of heat, or even the act of reading one out can collapse the quantum state it holds, an error called decoherence. To compute reliably, a machine must combine many error-prone "physical" qubits into a smaller number of resilient "logical" qubits and run quantum error correction to catch and repair mistakes mid-calculation. IBM, which calls this the threshold for a fault-tolerant quantum computer, describes fault tolerance as the
Jun 7, 2026 · via techtimes.com
Digital ‘super-brain’ with a physics education speeds up technology development Physics-aware AI helped Chalmers researchers design optical materials faster, with less data and fewer errors. Edited By: Joseph Shavit Designing materials that steer light is a slow kind of trial and error. Each candidate structure must be tested in computer simulations, and every new data point can take anywhere from ten minutes to an hour to produce. That bottleneck has made one thing clear. Smarter machine learning is useful only if it can learn faster, too. At Chalmers University of Technology in Sweden, researchers say they found a way to do that by giving a neural network something like a physics education before training begins. Instead of forcing the system to discover the laws of electromagnetism on its own from vast amounts of data, they built those laws directly into the model. The payoff was immediate. “When we fed the super-brain information about the laws of physics, it immediately got much smarter. Our calculations now take one tenth of the time previously required,” said Philippe Tassin, professor in the Department of Physics and Astronomy at Chalmers. That cut a month-long training-data effort down to about three days, according to the team. Where light gets tricky The work comes from nanophotonics, a field that deals with controlling light on scales smaller than its wavelength. At that size, light does not behave the way it does in everyday lenses or mirrors. That opens new design possibilities, but it also creates severe computational challenges. Tassin’s group studies artificial optical materials that can do things natural materials cannot. Those materials could help make camera and eyeglass lenses thinner, lighter and more effective. The same design tools could also matter for quantum technologies. Together with researchers at Chalmers’ Department of Microtechnology and Nanoscience, where Sweden’s
Jun 7, 2026 · via thebrighterside.news
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Jun 7, 2026 · via youtube.com