Qilimanjaro has trained a classical linear readout while bypassing a common limitation of quantum machine learning by not adjusting the quantum system itself. Unlike many quantum approaches that require costly and time-consuming adjustments to quantum circuits, Qilimanjaro’s Quantum Reservoir Computing keeps the quantum system’s dynamics fixed, training only a classical linear readout. This sidesteps the challenge of training stalling when the quantum system offers no clear direction for parameter adjustments. The researchers state that “the training stays entirely on the classical side, while the parameters of the quantum system remain fixed.” The method utilizes a quantum reservoir to process time-series data step by step, creating a system with memory of past inputs. Fixed Quantum Dynamics Enable Classical Machine Learning Qilimanjaro achieved a machine learning readout by training only the classical components of its system, a departure from conventional quantum machine learning techniques. This approach bypasses the need to adjust parameters within the quantum system itself, a process that introduces significant cost and complexity when working with current quantum hardware. The team’s method centers on Quantum Reservoir Computing, where the quantum device operates with fixed dynamics, processing information without internal optimization, Qilimanjaro says. Traditional quantum machine learning algorithms rely on iterative adjustments to single- and two-qubit gates, requiring repeated interaction with the quantum hardware for each training step. These adjustments are complicated by the potential mismatch between the interactions a model needs and those a device can offer, leading to stalled training during optimization. Qilimanjaro’s work circumvents this issue by shifting the entire training process to the classical side, leaving the quantum system’s parameters untouched. According to the authors, the training stays entirely on the classical side, while the parameters of the quantum system remain fixed, highlighting a fundamental difference in their methodology. A quantum reservoir functions by processing time-series data
Sep 2, 2026 · via quantumzeitgeist.com
SOLOWIN HOLDINGS (AXG)’s AlloyX HK and EvolveQ Signed Strategic MOU to Integrate AI and Quantum Computing for Next-Generation Financial Infrastructure Rhea-AI Summary SOLOWIN HOLDINGS (AXG) announced that its indirect wholly owned subsidiary AlloyX HK signed a non-binding MOU with quantum computing firm EvolveQ to explore collaboration across artificial intelligence, quantum computing, and high-performance computing for finance and digital assets. The framework focuses on AXG Digital’s AI infrastructure for a next-generation AI wealth management platform with unified API and millisecond-level routing, plus AI-powered risk intelligence and client analytics. It also targets FinQ-based quantum models for cross-asset and portfolio optimization by coordinating quantum, HPC, and AI/GPU resources. Positive - None. Negative - None. Key Figures Previous AI Reports | Date | Event | Sentiment | 24h Move | Catalyst | |---|---|---|---|---| | Aug 26 | AI infrastructure expansion | Positive | -5.1% | Announced AXG Digital and a target for AI-ready data-center capacity. | | Apr 27 | AI payments MOU | Positive | +0.0% | Signed a non-binding MOU with SC Ventures to incubate AGENPAY payments initiative. | 24h Move is the share-price change in the day after each event; other market factors may also have contributed. Both prior tag-specific AI announcements were followed by non-positive 24-hour reactions: -5.06% and 0%. Key Terms memorandum of understanding regulatory high-performance computing technical quantum computing technical API technical GPU technical AI-generated analysis. How Rhea-AI works. Not financial advice. HONG KONG, Sept. 02, 2026 (GLOBE NEWSWIRE) -- SOLOWIN HOLDINGS (Nasdaq: AXG) (together with its subsidiaries, “AXG” or the “Company”), a leading financial technology firm bridging traditional and digital assets, today announced that its indirect wholly-owned subsidiary, AlloyX (Hong Kong) Limited (“AlloyX HK”), has entered into a non-binding Memorandum of Understanding (the “MOU”) with EvolveQ Limited (“EvolveQ”), a pioneer in quantum computing enterprise applications and cross-hardware
Sep 2, 2026 · via stocktitan.net
Inside Higher Ed I have had a long tenure of teaching in higher education, beginning in 1972 at the instructor level at the University of Illinois Urbana, continuing through spring semester 2022 as a full professor and associate vice chancellor at the University of Illinois Springfield. That is one half of a century in the faculty ranks. My field of communication technologies has been one of rapid, society-altering change. The thousands of students I engaged over those years faced rapid change in careers that shifted from analog reel-to-reel audio tape to digital video, from over-the-air broadcasting to virtual and augmented reality, and from Photoshop to AI-generated videos. Professionally, I am familiar with dealing with change. Yet, the speed of change in the recent subset of AI-enhanced technologies outpaces the speed of changes in communications fields over the past half century by light-years. Nevertheless, that background of five decades of closely following and teaching communication technologies has made me acutely sensitive to the need to engage and prepare students for those changes through deep discussions probing the advanced technologies enabling change, but also the social and societal implications that surround those advances in the “real” world. There has been a nonstop evolution of technologies. For example, from manual typewriters in the 1950s to the IBM Selectric in the 1960s, to personal computers in the 1970s such as the IBM PC/XT to the ubiquitous smartphones emerging in the 1990s. Each of these huge steps in capabilities and flexibilities came about in years. Now, however, AI technologies are improving far more rapidly. Google Gemini reports that new versions of the three frontier models of AI by Google, OpenAI and Anthropic average every one to two months: Release Cadence Breakdown OpenAI Average Gap: ~32 to 45 days Details: Shifting rapidly from older generational gaps
Sep 2, 2026 · via insidehighered.com
The Quantum World Congress is coming to College Park in September, bringing hundreds of scientists, tech executives and government leaders from around the world and across the country to Baltimore Avenue. The three-day international gathering, organized by the regional nonprofit Connected DMV, will run Sept. 23–25 at The Hotel at the University of Maryland, located at 7777 Baltimore Ave., across from the campus. College Park Mayor Fazlul Kabir said the event is an opportunity to show members of the quantum community, including many who may eventually take related jobs in College Park and move to the area, what the city has to offer. Kabir noted that hosting the global summit gives College Park an unprecedented chance to show off its community directly to the leaders and researchers driving the high-tech industry. “The attendees will be going to local businesses and seeing the College Park potential,” said Kabir, who has a Ph.D. in electrical engineering from the University of Manchester and what he called “a special interest” in the growing field of quantum technology. “Also, all the industries that will be coming, attending, speaking, they might consider setting up their businesses in College Park if they haven’t yet.” Kabir said he expects conference-goers to stay in local hotels and sample the city’s restaurants. “We are the local city,” he said. “A significant portion of those attendees … I don’t think they’ll be going far away to eat.” Kabir added: “Any time a conference comes to the city, the city takes advantage of promoting it, so people who attend this conference, they know what is happening. … It’s a twofold benefit. One is to support our businesses and [two is] to promote College Park as a home, including our businesses, and promote all the good things here.” College Park has long been
Sep 2, 2026 · via streetcarsuburbs.news
Good morning. On Fortune’s radar today: - Venezuela oil pact ‘looks like an insider deal.’ - Iran again offers Trump the deal he wants but the president wants to ‘hit them hard’ instead. - Markets: It’s messy out there. - You’re not still using a 60:40 stock-bonds portfolio, are you? - The one number Fed Chair Warsh is actually watching. - There’s a global sardine crisis—and prices are through the roof. ➡️ Did someone forward you this email? If you would like to receive this information directly, every morning before the markets open in New York, sign up here. ONE BIG THING Venezuela oil pact ‘looks like an insider deal’ for those close to Delcy and Trump, expert says President Trump’s plan for the U.S. to own majority control of Venezuelan oilfields harks back to a century-old era of colonialism and backroom dealmaking with Venezuelan oilmen and politicians, energy and geopolitical analysts told Fortune’s Jordan Blum. “If the U.S. scheme in Venezuela sounds colonial, that’s because it is,” said Gregory Brew, senior analyst with the Eurasia Group. “This is the Trump administration trying to increase U.S. revenue from Venezuelan oil production. It’s extremely unusual. It’s probably unprecedented in the history of the international oil industry.” Under the deal, the U.S. would control more than 65 billion barrels of proven oil reserves in Venezuela. The agreement would give the U.S. Department of Defense a 55% stake in the private Venezuelan oil producer North American Blue Energy Partners. NABEP is controlled by the Venezuelan businessman Alejandro Betancourt López and his family. López has fostered close relationships with both the Trump and Rodríguez administrations. “From a certain angle, this looks like an insider deal to profit businessmen who are close to Delcy and who are also close to Trump and his inner circle,”
Sep 2, 2026 · via fortune.com
Researchers at the University of South Dakota have completed a comparative assessment of four distinct germanium-based spin-qubit designs: donor, acceptor, gate-defined hole, and gate-defined electron platforms. The work, published in Quantum Science and Technology on September 1, 2026, establishes a common framework for evaluating these competing quantum computing approaches, each making unique trade-offs between coherence, controllability, and scalability. This detailed analysis considers germanium’s material properties, including isotopic purification and strain, to estimate relaxation rates across the different qubit modalities. Germanium’s Resurgence as a Quantum Semiconductor Platform High-purity germanium is experiencing a revival as a leading material for building spin-based quantum computers, driven by its unique combination of established manufacturing processes and potential for scalable qubit designs. The work addresses a critical bottleneck in quantum computing: scaling up from single, high-performing qubits to a functional, fault-tolerant architecture. The central challenge, according to the study, is not simply achieving high qubit fidelity, but realizing a hardware architecture that balances error reduction with long-term stability, qubit connectivity, and manageable cryogenic infrastructure. Semiconductor spin qubits, with their nanoscale footprints, offer a compelling path toward meeting these demands by leveraging the existing semiconductor industry’s expertise in miniaturization and mass production. Ge, specifically, benefits from compatibility with advanced processing, the availability of spin-free isotopes, and strong, tunable spin-orbit coupling. While germanium presents a versatile platform, the researchers emphasize that germanium qubits are not a monolithic technology. Each of the four modalities, donor, acceptor, hole, and electron, operates on different principles and presents unique trade-offs between coherence, control, fabrication complexity, and scalability. Donor qubits, for example, offer strong tunability and potential for hybrid registers, but are limited by comparatively strong spin-lattice relaxation. Acceptor qubits, utilizing spin-3/2 physics, exhibit unusual functionality but remain sensitive to their microscopic environment and are less experimentally mature. Gate-defined hole qubits in germanium
Sep 2, 2026 · via quantumzeitgeist.com
UNSW quantum computing pioneer Andrew Dzurak awarded 2026 Walter Boas Medal 2026-09-02T09:00:00+10:00 The Australian Institute of Physics has recognised UNSW's Scientia Professor Andrew Dzurak for his outstanding contribution to quantum computing. UNSW Sydney quantum computing expert Professor Andrew Dzurak has been awarded the 2026 Walter Boas Medal, one of Australia’s highest distinctions in physics, in recognition of his outstanding contributions to silicon-based quantum computing. The award was announced by the Australian Institute of Physics (AIP) as part of its 2026 national awards program. The Walter Boas Medal is awarded annually for excellence in research and acknowledges original work that has made an important contribution to physics in Australia. Established in 1984, the medal commemorates physicist and metallurgist Walter Moritz Boas, a key figure in Australian physics and an Honorary Fellow of the AIP. The 2026 Medal lauds Prof. Dzurak, who is also Founder and CEO of spinout quantum computing company Diraq as “pioneering research advancing silicon-based quantum computing”, a field in which he has been an international leader for more than two decades. The award citation highlights a body of work that has helped establish Diraq’s quantum bits (qubits) as one of the world’s leading approaches to building quantum computers at ‘utility scale’ – using existing manufacturing technology to produce systems whose economic value outweighs their cost. “I’m deeply honoured to receive the Walter Boas Medal from the Australian Institute of Physics,” Prof. Dzurak said. “This recognition reflects the work of an extraordinary group of researchers who have dedicated themselves to advancing quantum computing based on Diraq’s silicon spin qubits. It’s especially meaningful because it comes from Australia’s physics community, which has played such an important role in establishing the country’s global leadership in quantum technologies.” It’s especially meaningful because it comes from Australia’s physics community, which has played such
Sep 2, 2026 · via unsw.edu.au
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
Sep 2, 2026 · via anl.gov
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
Sep 2, 2026 · via english.cw.com.tw
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
Sep 2, 2026 · via beincrypto.com
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
Sep 1, 2026 · via azoquantum.com
‘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
Sep 1, 2026 · via siliconrepublic.com
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
Sep 1, 2026 · via timesfreepress.com
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
Sep 1, 2026 · via blogs.cisco.com
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
Sep 1, 2026 · via quantumzeitgeist.com
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
Sep 1, 2026 · via eenewseurope.com
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
Sep 1, 2026 · via quantumzeitgeist.com
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
Sep 1, 2026 · via dailycal.org
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
Aug 31, 2026 · via thebrighterside.news
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
Aug 31, 2026 · via markets.businessinsider.com