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New approach brings scientists one step closer to practical <b>quantum computing</b>

New approach brings scientists one step closer to practical quantum computing MCS Menu Quantum computers have arisen as a possible solution for highly complex mathematical problems, offering “quantum advantage” over classical computers in certain cases. The Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate for realizing this advantage, and some success has been achieved for small problems. But demonstrations on large problems have remained too computationally costly to run on classical computers and current quantum hardware. Researchers from JPMorganChase and the U.S. Department of Energy’s (DOE) Argonne National Laboratory have now found a way to make such calculations possible. Their results were published in Physical Review Letters. Overcoming the computational barrier The team focused on the Sherrington–Kirkpatrick (SK) model, a disordered system with random interactions between every pair of variables. “As problem size grows, the SK model’s optimal value is known in the large-system limit. This value provides a baseline to measure how well QAOA is performing,” said Jeffrey Larson, a computational mathematician in Argonne’s Mathematics and Computer Science division and a coauthor of the paper. The researchers discovered that in the infinite-size limit, a high-depth QAOA state for the SK model converges mathematically to a single quantum spin coupled to bosonic modes. By translating the problem into this “spin-boson” system, the team replaced the costly calculations with much simpler simulations using matrix product state simulations. For this problem setting, Larson developed a novel optimization method for identifying high-quality QAOA parameters. The simulations and parameter optimization were performed on the supercomputers at the Argonne Leadership Computing Facility (ALCF) and DOE’s National Energy Research Scientific Computing Center. The researchers were able to use these facilities through a grant from the DOE’s Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. The ALCF is a DOE Office of Science

Taiwan's &quot;Big Six&quot; Vie for Dominance in Upcoming <b>Quantum Computing</b> Showdown

Taiwan's "Big Six" Vie for Dominance in Upcoming Quantum Computing Showdown Source:Meng-hsuan Yang Tech giants from Amazon to Microsoft are aggressively exploring opportunities in quantum computing. How are Taiwan's "Big Six" electronics manufacturers getting ready for the showdown? Views Taiwan's "Big Six" Vie for Dominance in Upcoming Quantum Computing Showdown By Meng-hsuan Yang web only Quantum computing may look like a pie in the sky, but the unseen battle for market dominance has already begun. The prize: a wellspring of orders from large North American cloud service providers, who also happen to be the world's biggest buyers of AI servers. "Quantum is the natural extension of AI infrastructure," says David Shen (沈慶堯), CTO of Wistron. The consensus among experts is that quantum computing will achieve commercialization sometime after 2029, at the earliest. There is no agreement on what the roadmap will look like. But quantum computers seem unlikely to replace AI servers; more plausibly, they will coexist alongside CPUs and GPUs to form the foundation of next-gen high-performance computing (HPC). Industry Consultant Po-Jung Shih (施柏榮) at Market Intelligence & Consulting Institute (MIC) says that the incorporation of different computing elements, known as heterogeneous computing, and data center infrastructure management (DCIM) tailored toward quantum computers will be the two critical factors that decide who will come out on top in the quantum age. Quantum computers are much more sensitive to temperature than AI servers—in fact, they need to operate at minus 273 degrees Celsius. Low-temperature baseboards and substrates, wiring, controls and receptors for processing electrical signals are all components Taiwanese manufacturers need to invest in to stay ahead of the competition. The big clients are already champing at the bit. In June, Microsoft unveiled the quantum chip Majorana 2, developed with the help of agentic AI. Last year, Amazon Web Services

The $7 Billion Race to Save Crypto From <b>Quantum Computers</b>

Despite the rumors and fear-mongering, Quantum computers are still years away from threatening today’s financial systems. But the cost of preparing for them is already becoming real In March, Google researchers estimated that a sufficiently advanced quantum computer could break widely used 256-bit elliptic-curve cryptography in minutes. This is the same level of cryptography used by crypto wallets, custody systems, blockchain signatures and much of the security infrastructure used by financial institutions. Although Q-Day might not be tomorrow, governments have started planning. Because the risk is too great to ignore. The US is budgeting billions of dollars to move federal systems to new post-quantum standards, while NIST wants vulnerable algorithms phased out by 2035. The transition is much harder for crypto. Assets worth billions can sit untouched for decades, old wallets may never be upgraded, and institutional custody systems were built around cryptography that quantum machines are expected to break. BeInCrypto spoke with experts from BitGo, Nethermind and the cryptography community about what that migration will actually involve — and who will end up paying for it. The Quantum Risk For Crypto’s Institutional Giants All three of our interviewed experts agree on the same thing. Institutions need a complete record of where vulnerable cryptography is used, including signing systems, hardware, recovery procedures, authentication and long-lived keys. Nigel Smart, who has a PHD in Computational Number Theory, describes this as a Cryptographic Bill of Materials. “The post-quantum standards are already in place, as well as many production-ready implementations. What most organizations lack is the clear inventory, something called a Cryptographic Bill of Materials. Knowing where crypto is used in your organization, how keys are managed, and what algorithms are used.” NIST similarly places discovery and prioritization near the beginning of the transition process. For Akshay Thakur from BitGo, institutional custody introduces

NVision Deploys POLARIS at Hokkaido University, Establishing Research Site for <b>Quantum</b> ...

NVision Quantum Technologies, a quantum technology company, today announced the deployment of its POLARIS™ platform at Hokkaido University. Installed at the Graduate School of Information Science and Technology’s Division of Bioengineering and Bioinformatics, the system marks NVision’s first deployment in Japan and establishes Hokkaido University as a key research partner in the Asia-Pacific region. The deployment follows a year of international expansion for NVision’s quantum-enhanced MRI business. NVision now works with leading research institutions including the University of Cambridge, Memorial Sloan Kettering Cancer Center, Washington University in St. Louis, and the Technical University of Munich. In Asia, the company is also collaborating with Yonsei University in South Korea through the RESQ research project. Hokkaido University is internationally recognized for its research in metabolic imaging and hyperpolarization technologies, with a particular focus on understanding how changes in metabolism reflect disease biology and treatment response. The deployment expands NVision's global research network while strengthening the company's research presence in Japan and across the Asia-Pacific region. “Quantum technology only creates value when it is placed in the hands of researchers who can turn it into meaningful scientific and clinical progress,” said Dr. Sella Brosh, CEO of NVision. “We are proud to be building a global community of leading scientists who are applying quantum-enhanced MRI to important questions in medicine and drug development. Hokkaido University brings deep expertise in hyperpolarization and metabolic imaging, and this deployment gives us a strong foundation for expanding our work in Japan and across Asia.” POLARIS boosts the MRI signal of sugars over 10,000x through a process known as hyperpolarization, making it possible for standard MRI systems to “light up” and measure cell metabolism in real time. It is the first commercially available quantum-based polarizer, using parahydrogen-induced polarization, or PHIP, to produce a metabolic imaging agent in under three

UCD NetsLab founder on the future of network security

‘Building researchers is as important to me as building technology,’ says UCD’s Prof Madhusanka Liyanage. Prof Madhusanka Liyanage’s work at University College Dublin (UCD) involves researching how future communication networks can be secured and reinforced. Liyanage’s academic career has taken him across the world, beginning with a degree in electronic and telecommunication engineering at the University of Moratuwa in Sri Lanka, then postgraduate courses in telecommunications engineering at the Asian Institute of Technology in Thailand and ubiquitous networking and computing at Université de Nice Sophia Antipolis in France. Following this, he completed his Doctor of Science in Technology at the University of Oulu in Finland, focusing on scalable security in communication networks. Today, he works as a professor of network security at UCD and leads the university’s NetsLab – which he founded – where he work across the future network security. “A major part of my work is also building research communities. I have supervised and mentored researchers at different career stages, contributed to international standardisation and cybersecurity activities, and worked closely with industry,” he says. “I am particularly interested in ensuring that research does not remain only in academic publications but progresses towards technologies, standards and commercial solutions that can have a real-world impact.” What inspired you to become a researcher? I have loved mathematics since childhood. It was something that came naturally to me, and I particularly enjoyed solving difficult problems and finding answers that were not immediately obvious. One experience that had a strong influence on me was representing Sri Lanka at the International Mathematical Olympiad (IMO) in Athens in 2004. It gave me the opportunity to meet talented young mathematicians from around the world and experience an international scientific community at a very young age. I have also always loved travelling, meeting people and experiencing different

Why Chattanooga business leaders should be paying attention to <b>quantum</b> now

What if one of the most important emerging technologies for business is already available in Chattanooga? As home to EPB Quantum CenterSM, Chattanooga is the only city in the nation with both commercially available quantum computing and quantum networking infrastructure in one location, giving local organizations a home-field advantage in understanding and exploring this emerging technology. Why quantum matters to business As investment accelerates, business leaders are increasingly asking when quantum technologies will begin affecting their industries. The answer is that companies can benefit today, and by engaging early, they can begin developing expertise, so they can lead their industries as this paradigm-shifting technology gains the capacity to solve larger and larger problems. Leaders do not need to understand quantum physics for their companies to benefit from these innovations. What deserves focus is its potential to address difficult, time-consuming and costly business challenges that today's computers alone cannot solve. Organizations are already exploring how quantum technologies are drawing interest across a wide range of industries and prompting leaders to rethink innovation, efficiency and long-term competitiveness. According to the McKinsey Quantum Technology Monitor 2026, quantum computing could create trillions of dollars in economic value through industry applications, which is one reason organizations across multiple sectors are paying close attention to its development. * Financial institutions are exploring quantum applications for portfolio optimization and fraud detection. * Health care organizations and researchers are investigating opportunities in drug discovery and biological modeling. * Insurance companies are evaluating how quantum technologies could enhance forecasting and risk assessment capabilities. * Auto manufacturers are incorporating process optimization and predictive maintenance. * Logistics and transportation are transforming daily operations with route optimization and supply chain management. * Chemicals and new materials research are examining how quantum technologies may accelerate materials discovery, modeling, and simulation. While use cases

Post-<b>Quantum</b> Key Exchange on Cisco Routers

Over the first 8 parts of this series we built quantum-safe VPN tunnels on your laptop, using containers. That’s how you learn protocols: in a clean environment where everything is under your control. But running a VPN in a container is not the usual setup in production. At some point the question changes from “does the protocol work?” to “does the platform work?”. This is where we go find out. The hardware The platform I’ve used for this exercise is part of the Cisco 8000 Series Secure Router, specifically the C8235-G2. Three of them, wired back to back, running IOS XE 26.2 with the “advantage” license (which unlocks all crypto features). Why 26.2? Because 26.1 gave you post-quantum key exchange (ML-KEM) and left authentication classical. 26.2 adds ML-DSA signatures for IKEv2, so a site-to-site tunnel can now be quantum-safe end to end. Both pillars in one box. The lab 3 routers, 2 VLANs, 1 hub-and-spoke topology that stays the same for everything that follows: ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ R1 │ │ R2 │ │ R3 │ │ (Spoke-1) │ │ (Hub/Transit)│ │ (Spoke-2) │ │ │ │ │ │ │ │ Vlan12 │ │ Vlan12 │ │ │ │ 10.0.12.1 │ │ 10.0.12.2 │ │ │ │ │ VLAN 12 │ │ │ │ │ Tw0/0/0 ├──────────┤ Tw0/0/0 │ │ │ │ │ 2.5 Gb │ │ │ │ │ │ │ Vlan23 │ │ Vlan23 │ │ │ │ 10.0.23.1 │ │ 10.0.23.2 │ │ │ │ │ VLAN 23 │ │ │ │ │ Tw0/0/1 ├──────────┤ Tw0/0/0 │ │ │ │ │ 2.5 Gb │ │ └──────────────┘ └──────────────┘ └──────────────┘ R2 sits in the middle as a Layer 3 transit router. The IPsec tunnel runs end to end between R1 and R3, traversing R2 as an intermediate hop to

Diraq's Silicon Qubits Move Into An Equinix Data Center

Diraq will deploy a quantum computer featuring eight qubits within an Equinix data center in Sydney, Australia, marking the first time a silicon spin quantum computer of this type will operate in a shared commercial setting. The complete system requires less than 20 kilowatts of power and integrates easily into existing data center infrastructure. “Quantum computers are about to become as essential to data centers and computing infrastructure as data servers, CPUs and GPUs,” said Andrew Dzurak, Diraq Founder and CEO. This collaboration demonstrates how quantum computing can operate alongside AI, cloud, and high-performance computing environments. Diraq’s Eight-Qubit Silicon System Deploys at Equinix Sydney This installation differs from prior quantum computing tests by integrating directly into existing data center infrastructure, a critical step towards broader accessibility and scalability. The system’s design prioritizes seamless integration; the complete unit, including cryogenic cooling and control electronics, occupies a standard server rack footprint and requires less than 20 kilowatts of power. Diraq states that scaling the system beyond eight qubits will not necessitate infrastructure changes, only a chip replacement. This modular approach contrasts with many quantum computing designs and positions Diraq for rapid iteration and increased qubit counts. Jarrod Nink, Managing Director, Australia, Equinix, emphasized the importance of this operational compatibility, stating, “Quantum computing’s future depends not only on breakthroughs in hardware, but on proving how these systems can operate within the digital infrastructure enterprises rely on every day.” The choice of Sydney as the deployment location signals an expansion beyond the traditionally dominant US and European testing grounds for quantum technologies. Diraq’s silicon spin qubits, manufactured using existing semiconductor foundries, offer a distinct advantage in scalability and cost-effectiveness. Andrew Dzurak, Diraq Founder and CEO, explained that this approach allows for the potential of millions of qubits on a single chip, a density exceeding

Diraq and Equinix to deploy Australia's first data center <b>quantum computer</b>

Diraq and Equinix to deploy Australia’s first data center quantum computer Diraq is teaming up with Equinix to install a silicon spin quantum computer in a commercial data center in Sydney, in what the companies say will be a pair of industry firsts. The system will be Australia’s first quantum computer operating inside a commercial data center and the first silicon spin quantum computer deployed in a shared commercial facility anywhere in the world. For eeNews Europe readers, the project is notable because it moves silicon-based quantum hardware out of the laboratory and into the same infrastructure environment used for cloud, AI and high-performance computing. It could also provide an early indication of how quantum accelerators may eventually be integrated alongside conventional CPUs and GPUs in production systems. Eight-qubit system targets simple deployment The initial Diraq system will use a silicon chip containing eight qubits, with cryogenic cooling and control electronics integrated into a self-contained installation. According to the companies, the complete quantum computer can sit alongside conventional servers in the Equinix facility and will draw less than 20kW. Diraq says the architecture is designed so that higher qubit counts can be introduced by replacing the quantum chip without changing the surrounding infrastructure. “Quantum computers are about to become as essential to data centers and computing infrastructure as data servers, CPUs and GPUs,” said Andrew Dzurak, Diraq Founder and CEO. “The data center is where quantum computing goes mainstream, and that shift starts now. It’s a first, and the milestone is in the simplicity itself. Diraq’s quantum computers integrate into operational data centers like any other rack. That’s the advantage of Diraq’s silicon spin qubits: as we scale to millions of qubits, our system is deployable anywhere in the world, right next to the AI systems that are reshaping the

Researchers Build Codes With Optimal Log N Circuit Depth

Image: harvard.edu Quantum error correction codes now require circuit depths of O(log n), a reduction from previous requirements of O(log3 n) utilising complex gate sets. Emile Anand at Georgia Institute of Technology, Harvard University, the University of New Mexico, and colleagues have achieved this using more restricted distributions of two-qubit Clifford gates, fundamental building blocks in quantum computing. The method offers an improved way to build these codes by reducing computational steps without affecting performance. These codes are key for protecting information within future quantum computers; previously constructing them required substantial computational effort. This new approach lowers the required circuit depth, a measure of those computational steps, from a complex calculation to O(log n). This improvement relies on using more limited sets of two-qubit operations, the fundamental components used to manipulate qubits and is akin to simplifying a complicated machine by streamlining its core mechanisms. The team has demonstrated that equivalent codes can now be built with circuit depths reduced from a complex calculation to O(log n). They achieved this through an analysis based around what’s called a ‘Markov chain’, which models how error correction unfolds over time like steps in a game where each move depends solely on your current position; this allowed them to analyse the process mathematically. Optimal logarithmic scalability achieved for fault-tolerant quantum error correction circuitry The researchers University, and the University of New Mexico have dramatically reduced the circuit complexity required to build effective quantum error correction codes from O (log³ n ) to an optimal O (log n ). Achieving equivalent code performance previously demanded exponentially more computational steps, hindering progress towards scalable quantum computers. Their method carefully controls how information spreads through random circuits using fewer two-qubit operations than earlier designs allowed. A novel encoding method utilising random circuits constructed from just n/2

NSF awards $37M to its UC Berkeley-led <b>quantum computing</b> research

The U.S. National Science Foundation renewed its support for the UC Berkeley-led NSF Quantum Leap Challenge Institute for Quantum Computation, awarding the initiative $37.5 million. For the next five years, the funding will help the institute build quantum technologies, explore their applications and discover new ways quantum computing can be used to better understand nature. The initiative spans across California, encompassing research at UC Berkeley as well as at universities such as Caltech, UCLA and Stanford. “The idea behind a quantum computer is to build a computer that takes advantage of some of those weirder, strange aspects of quantum mechanics to do computations that are hard or impossible on the computers that we have today,” said UC Berkeley associate professor of physics Shimon Kolkowitz, who is conducting research on atomic clocks for the institute. Kolkowitz expressed his hopes for future applications of quantum computing, including its use in the discovery of new materials and drugs, as well as in the improvement of chemical reactions’ energy efficiency. Kolkowitz described the institute’s research as interdisciplinary, spanning many departments including chemistry, physics, electrical engineering, computer science and material science. “We feel like it’s really an honor and a privilege to be doing this work on behalf of the nation,” said Claire Cramer, executive director of NSF CIQC and Berkeley Quantum, campus’s hub for quantum research and application. Cramer described how NSF CIQC is trying to ensure that the United States is on the cutting edge of quantum development. Additionally, Cramer said the NSF’s financial support of CIQC’s quantum research indicates how promising the work has proven. “Our goal is pretty ambitious,” said campus physics professor and NSF CIQC director Dan Stamper-Kurn. “We want to open up an undergraduate degree program in quantum information science that would be available to all students across the

Strange behavior in focused laser light could change how <b>quantum computers</b> control qubits

Strange behavior in focused laser light could change how quantum computers control qubits A laser’s strongest interaction with a trapped ion can shift sideways, revealing a quantum effect with implications for qubit control. Paul Scherrer Institute Writer: Christian Heid - Physicists have directly observed the optical Magnus effect for the first time by mapping how a tightly focused laser interacts with a single trapped calcium ion. - The strongest atom-light interaction shifted sideways by several hundred nanometers instead of occurring exactly at the laser beam’s center. - The effect could create unwanted errors in laser-controlled qubits, but the same forces may also provide a new way to connect qubits during quantum computations. A spinning table tennis ball can veer sharply across a table even when its forward motion seems to point elsewhere. The same basic phenomenon helps bend football shots and curve baseballs. Physicists call it the Magnus effect, a sideways force produced when a rotating object moves through a surrounding medium. Now an international team has observed an optical counterpart at the scale of a single trapped ion. Instead of watching an atom curve through space, the researchers found that a tightly focused laser interacts most strongly with the ion slightly away from the beam's center. The first direct measurement of this optical Magnus effect appears in Physical Review Letters. Philip Leindecker of the Paul Scherrer Institute's Center for Photon Science and ETH Zurich led the work with collaborators from PSI, ETH Zurich, the University of Amsterdam and other institutions. The finding matters because tightly focused lasers are increasingly used to manipulate individual quantum bits, or qubits. A shift of only a few hundred nanometers can change how precisely those laser beams control trapped particles. The same effect, however, could also provide a useful force for linking qubits during

Diraq to Deploy a <b>Quantum Computer</b> Inside an Equinix Data Center

SYDNEY, Aug. 31, 2026 (GLOBE NEWSWIRE) -- Diraq, the quantum computing pioneer, and Equinix, Inc. (Nasdaq: EQIX), the world’s digital infrastructure company®, today announced plans to deploy a Diraq quantum computer at an Equinix data center in Sydney, Australia. The deployment will mark the world’s first silicon spin quantum computer to operate in a shared commercial data center, bringing quantum computing one step closer to large-scale commercial adoption. The installed quantum computer will feature a silicon chip containing eight quantum bits (qubits), with all cryogenic cooling and control electronics self-contained. The complete system fits within Equinix’s existing data center alongside standard servers, requiring minimal integration and drawing less than 20kW of power. Scaling to higher qubit counts requires only a chip replacement, with no changes to the surrounding infrastructure, making the system easily upgradable. “Quantum computers are about to become as essential to data centers and computing infrastructure as data servers, CPUs and GPUs,” said Andrew Dzurak, Diraq Founder and CEO. “The data center is where quantum computing goes mainstream, and that shift starts now. It’s a first, and the milestone is in the simplicity itself. Diraq’s quantum computers integrate into operational data centers like any other rack. That’s the advantage of Diraq’s silicon spin qubits: as we scale to millions of qubits, our system is deployable anywhere in the world, right next to the AI systems that are reshaping the global economy.” The collaboration is designed to: Jarrod Nink, Managing Director, Australia, Equinix, said: “Quantum computing’s future depends not only on breakthroughs in hardware, but on proving how these systems can operate within the digital infrastructure enterprises rely on every day. Our collaboration with Diraq will demonstrate how quantum computing can be securely deployed alongside AI, cloud and high-performance computing environments. By combining Diraq’s pioneering silicon quantum technology with

SEALSQ's $24.5M Pure-Play <b>Quantum Computing</b> Investments and Collaborations Begin ...

- SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or the "Company"), a global leader in semiconductor, PKI and post-quantum technologies, today highlighted the investment and commercialization strategy behind SEALQUANTUM, its initiative to build a Sovereign Quantum Vertical Stack (the "Stack") connecting complementary technologies across the emerging quantum economy. SEALSQ believes the quantum industry is entering a decisive new phase. After years of substantial investment in quantum research, processors, semiconductors, photonics, communications and cybersecurity, the industry's next phase is increasingly about industrialization, integration and monetization. SEALQUANTUM has been designed around this opportunity. Rather than viewing quantum companies exclusively as standalone entities, SEALSQ intends to build an interconnected industrial ecosystem in which investments and strategic partnerships can combine together on technology integration, commercial agreements, customers and revenues across the Stack. A central component of this strategy is SEALSQ's direct investment in pure-play quantum computing companies, including: - Quobly: an investment of €15 million (approximately $17.5 million) - EeroQ: an investment of $7.0 million Together, these represent approximately $24.5 million of strategic exposure to two differentiated pure-play quantum computing architectures, based on SEALSQ's current investment values. This pure-play quantum exposure sits within SEALSQ's broader SEALQUANTUM Sovereign Vertical Stack, for which SEALSQ has announced a target allocation of its own capital of $200 million with the goal of accelerating the development of a fully-integrated Quantum Vertical Sovereign Stack across quantum and post-quantum technologies. Two Quantum Computing Architectures, One Vertical Strategy SEALSQ's investments in Quobly and EeroQ provide strategic exposure to two different approaches to building scalable quantum computers. Quobly, based in France, is developing silicon-based quantum processors using spin qubits and semiconductor technologies. SEALSQ participated as a lead investor in Quobly's €115 million Series A financing, with an investment agreement providing for an aggregate investment of €15 million (approximately $17.5 million), which closed June 2, 2026.

Diraq to deploy <b>quantum computer</b> in Equinix Sydney data centre

Diraq to deploy quantum computer in Equinix Sydney data centre The news: Quantum computing firm Diraq will deploy a silicon-chip based quantum computer in an Equinix data centre in Sydney, with installation expected to be completed in October 2026. The context: The deployment is being touted as âAustraliaâs first quantum computer to operate inside a commercial data centre, and the worldâs first silicon spin quantum computer to run in a shared commercial facilityâ by Diraq. Diraq will use the deployment to test how its quantum system operates in a data centre with open network connectivity including remote monitoring as well as integration with CPUs and GPUs. Diraq will also offer industry partners and customers the chance to explore potential applications for the technology. What they said: âThe data centre is where quantum computing goes mainstream, and that shift starts now. Itâs a first, and the milestone is in the simplicity itself. Diraqâs quantum computers integrate into operational data centres like any other rack,â Diraq founder and CEO Andrew Dzurak said. Equinix Australia managing director Jarrod Nink said: âQuantum computingâs future depends not only on breakthroughs in hardware, but on proving how these systems can operate within the digital infrastructure enterprises rely on every dayâ. âOur collaboration with Diraq will demonstrate how quantum computing can be securely deployed alongside AI, cloud and high-performance computing environments.â The source: Diraq media release

Anyon Systems And Matrix Group Team Up To Expand <b>Quantum Computing</b> Access

KMT Technologies Ltd., a Matrix Group company, will act as the exclusive representative and distributor for Anyon Systems across a number of strategic international markets, beginning August 31, 2026. This partnership unites Anyon’s vertically integrated quantum computing technology, spanning processors, cryogenics, software, and more, with Matrix Group’s expertise in high-performance computing and data centers. Alireza Najafi-Yazdi, Founder and CEO of Anyon Systems, explains, “We believe the future quantum computer will operate as an accelerator within a heterogeneous computing environment, alongside CPUs and GPUs.” The companies aim to address growing demand for quantum computing integration within existing infrastructure for governments, research institutions, and enterprises. Anyon and Matrix Group Partnership Accelerates Quantum Computing Deployment Anyon Systems has already successfully deployed superconducting quantum computers within Canada, including the MonarQ system integrated into Calcul Québec’s high-performance computing ecosystem. This established foundation now underpins the company’s development of a 72-qubit quantum computer, with plans to exceed 100 physical qubits in subsequent systems. The partnership with Matrix Group aims to extend this deployment capability internationally, addressing a growing need for on-premises quantum infrastructure. Anyon will provide training and certification for KMT personnel, ensuring a consistent level of advanced engineering and product support globally. This commitment to a complete delivery capability distinguishes the partnership from standard technology distribution agreements, reflecting a focus on long-term operational support for clients. Yossi Vardi, Chief Business Officer of Anyon Systems, said that customers increasingly want quantum computing to become part of their strategic computing infrastructure, deployed on premises, integrated with HPC and AI resources, and supported locally. Anyon’s fourth-generation quantum control electronics are designed with direct Remote Direct Memory Access (RDMA) connectivity to GPU infrastructure, minimizing latency and maximizing bandwidth between quantum and classical computing resources. Moshe Azar, CEO of KMT Technologies, highlights the strategic alignment of this partnership, stating, “Entering

S-Transistors raises €2.6M pre-seed to control <b>quantum computers</b> at scale | Dealroom.co

What's the deal? S-Transistors, a Finnish startup spun out of VTT Technical Research Centre of Finland, has raised €2.6 million in pre-seed funding to build a new class of integrated circuits based on superconducting transistors. Lifeline Ventures led the round, joined by an angel investor. What's the endgame? The company is developing what it calls quantum motherboards — hardware to orchestrate cryogenically cooled quantum computers more efficiently. Its superconducting transistors combine the computational power of transistors with the ultra-low power dissipation of superconductors. Why now? Today's superconducting quantum computers rely on multiple bulky cables per qubit, running from inside the cryostat out to room-temperature electronics. That approach is power-hungry and hard to scale, and unlocking the platform's potential will require machines with hundreds of thousands of qubits. What's the technology? S-Transistors' technology, already available at wafer scale, aims to bring classical control and interface hardware down into the cryostat, next to the quantum chip. "Superconducting transistors are exactly that missing piece of hardware for large-scale, energy-efficient quantum computing," said co-founder and chief executive officer Heorhii Bohuslavskyi. What's the money for? The startup will develop product prototypes for cryogenic signal control, set up its own cryogenic laboratory, and establish a manufacturing pilot line. It also plans to grow the team. Beyond quantum computing, the technology has potential applications in energy-efficient classical computing and spacecraft electronics. The signal: Cryogenic quantum computers are seen as among the most promising platforms for scaling, but they hit a hard wall when control electronics stay at room temperature. Moving that hardware into the cold — and making it energy-efficient enough to run there — is emerging as a central engineering challenge for the field. Read more: news.cision.com Image credit: Generated with Gemini

Dealroom.co | Finnish startup S-Transistors raises $2.9M to scale <b>quantum computers</b> with ...

Finnish startup S-Transistors raises $2.9M to scale quantum computers with superconducting transistors ● 6 hours ago Finnish startup S-Transistors has raised €2.6 million in pre-seed funding to develop superconducting transistor technology for quantum computing. The company, which spun out of VTT Technical Research Centre of Finland, is creating integrated circuits that combine computational power with ultra-low power dissipation. The technology addresses a critical scaling challenge in quantum computers: today's systems require multiple power-hungry cables per qubit running from cryogenic processors to room-temperature electronics. S-Transistors' solution operates at cryogenic temperatures alongside quantum processors, offering more energy-efficient control. Lifeline Ventures led the round, joined by an angel investor. The funding will support prototype development, establish a cryogenic laboratory, set up a manufacturing pilot line, and expand the team. The company's first product, a superconducting-transistor-based multiplexer, will ship to early customers within its first year of operation. Source: news.cision.com

S-Transistors raises €2.6 million pre-seed round to introduce a unique superconducting ...

S-Transistors raises €2.6 million pre-seed round to introduce a unique superconducting transistor platform for scalable orchestration of quantum computers Press release 31 August 2026 The new Finnish startup is disrupting the ways of controlling large-scale quantum computers by delivering a completely new class of electronic devices – superconducting transistors. These novel devices combine the computational power of transistors with the ultra-low power dissipation of superconductors. S-Transistors is developing first-of-its-kind quantum motherboards that will provide energy- and cost-efficient orchestration of cryogenic quantum computers at scale. Newly launched Finnish startup S-Transistors, originating from VTT Technical Research Centre of Finland, has raised €2.6 million in pre-seed funding to pioneer a fundamentally new class of integrated circuits based on superconducting transistors. The technology has several promising applications, from energy-efficient classical computing to spacecraft electronics, but quantum computing, in particular, stands to benefit most. Today's cryogenically cooled superconducting quantum computers need a paradigm-changing solution to break the scaling limit of the quantum processing unit (QPU) — the array of quantum bits that, by analogy to a conventional CPU, does the quantum computing. That limit comes from the power-hungry, poorly scalable way quantum processors are controlled today: multiple expensive, bulky cables per qubit, running from the processor inside the cryostat out to room-temperature electronics. This is exactly where S-Transistors' superconducting transistor technology, which is already available at wafer scale, offers a solution that is radically more energy-efficient and compact than existing alternatives. The funding round was led by Lifeline Ventures, a leading Nordic investor, and joined by an angel investor. S-Transistors is going to use the pre-seed funding to develop several product prototypes for cryogenic signal control and handling, set up its own cryogenic laboratory, establish a manufacturing pilot line for its unique integrated circuits based on superconducting transistors, and grow the team. "Today's efforts in

<b>Quantum Computing</b> Use Cases for the Oil and Gas Industry

Technical Section Editorial JPT’s Technical Section Editorial series features insights from committee members across SPE’s technical sections. Articles examine technical priorities, key activities, and emerging challenges within specific disciplines, providing SPE members with clear insight into how industry experts and volunteers are helping define SPE’s technical direction. Collectively, the series reflects the depth of SPE’s technical community and its continued commitment to advancing knowledge-sharing across the upstream energy sector. Learn more about the SPE Research and Development Technical Section (RDTS) on the RDTS SPE Connect Page. The rapid emergence of the disruptive technology of quantum computing (QC) opens up new opportunities for oil and gas computational problems. In response, the SPE Research and Development Technical Section (RDTS), in partnership with the Quantum Economic Development Consortium (QED-C), held a symposium at Rice University in May to identify the most prospective quantum computing use cases for oil and gas. Sponsored by QED-C, IBM, and SLB, the event brought together participants with a balanced mix of energy and QC expertise. Quantum computing industry representatives reviewed the current state and outlook for emerging hardware and software. Participants then examined how these technologies could be applied to oil and gas challenges. Quantum computing is not yet ready to replace high-performance computing in oil and gas workflows, but the industry needs to begin identifying where it may matter first. We identified the following use cases, which present long-standing challenges for the industry. - Seismic imaging: elastic waveform simulation - Simulation and modeling: new materials design and reservoir simulation - Production optimization: hydraulic fracture optimization and well intervention strategy Background For the past several decades, a fundamentally new and powerful computing technology has been emerging from laboratories across the world—QC. While quantum mechanics is fundamental to the behavior of semiconductors that are the physical basis of modern