No-frills tech news

PsiQuantum, Brookhaven Lab Announce <b>Quantum</b> Collaboration

- PsiQuantum has agreed to lend its Construct software platform for a quantum project with Brookhaven National Laboratory - Construct will aid the advancement of fault-tolerant quantum computing as part of the Quantum Genesis initiative - Quantum Genesis envisions fault-tolerant quantum computers that can support meaningful R&D by 2028 Brookhaven National Laboratory announced Wednesday that it has teamed up with PsiQuantum in a new collaboration that will give lab researchers access to the quantum computing company’s Construct software platform. Under the arrangement, Brookhaven scientists will use Construct to develop new algorithms and scientific applications aimed at the first generation of fault-tolerant quantum computers, which is the goal of the U.S. Department of Energy’s Quantum Genesis initiative. “We are excited to partner with Brookhaven National Laboratory to use these tools in support of its research into fault-tolerant quantum algorithms and applications,” said Heath Bumgardner, PsiQuantum’s vice president of government relations. “Through this partnership, we’re demonstrating how effective public-private collaboration can help accelerate scientific discovery.” What Is the Construct Software Plaftorm? Construct is described as the first full-scale platform built to help government, industry and research users develop algorithms designed to run on utility-scale, fault-tolerant quantum systems once such machines become operational. The platform is the product of years of work by PsiQuantum’s applications team, which built out a set of tools intended to tackle major challenges in quantum algorithm development. Fault-tolerant algorithms are expected to have applications across fields such as materials science, drug development and cryptography. PsiQuantum opened Construct to the public at no cost in May 2026, giving researchers the ability to build quantum circuits, write and test algorithms and fine-tune computing resources without restriction. What Is the Quantum Genesis Initiative? PsiQuantum and BNL’s partnership is part of the larger Quantum Genesis initiative, which aims to build and deploy

Quandela brings first photonic system to Canada's <b>Quantum Computing</b> Sandbox | BetaKit

French quantum company Quandela has made its Canada-based photonic quantum computer available to users of the Quantum Computing Sandbox (QCS), Canada’s national program intended to accelerate quantum adoption across academia and businesses. The news: Quandela announced on Thursday that it signed an agreement with CMC Microsystems to join the QCS as a cloud-based computing services provider. The QCS is a research and development program that’s part of the Fabrication of Integrated Components for the Internet’s Edge (FABrIC) network, a federally funded innovation network managed by CMC to bolster Canada’s semiconductor and quantum industries. As part of the QCS, Quandela’s photonic quantum computing capabilities will be available to participating small businesses and researchers. Quandela claims its photonic quantum computer, established in Canada, is the first and only of its kind available on the QCS. From the source: “As data sovereignty in the digital realm becomes an increasingly important issue given the current global context, we are proud to be the first to include a Canada-based photonic quantum computer [in the QCS]”, Quandela co-founder Valérian Giesz said in a statement. “This will allow their work and data to be entirely hosted on Canadian soil, without having to go through a structure located in another country.” The context: Other quantum computing cloud service providers in the sandbox include US-based firms like IonQ, Quantinuum, QuEra, and Rigetti Computing, as well as Sherbrooke, Que.-based PINQ, which operates IBM’s superconducting quantum computer. As part of the QCS, Quandela has agreed to provide companies and organizations with technical and practical assistance on the “high-potential projects” working on the network. Final thought: Quantum computers can rely on superconducting qubits or photonic qubits; the former exist on physical chips, and the latter transmit information through photons (particles of light). Giesz said algorithms used in certain projects perform better on

Researcher Wins €1.5M To Hunt Errors In <b>Quantum Computers</b>

Jonas Helsen has been awarded €1.5 million via a European Research Council Starting Grant to tackle a central challenge in quantum computing: reliably verifying performance. Unlike conventional bits, qubits use the quantum-mechanical principles of superposition and entanglement, allowing them to exist as combinations of zero and one, properties that promise faster calculations but introduce extreme fragility. Measuring a qubit alters its state, preventing simple error checks like those used in traditional computers; Helsen will spend five years developing methods to analyze and certify fault-tolerant quantum computers. “We are now at a stage where we can create qubits that are good enough for us to detect errors in them,” says Helsen. Helsen Awarded €1.5M to Analyze Fault-Tolerant Quantum Computers This funding will support five years of research dedicated to identifying the root causes of errors within these complex systems, a challenge that has long outpaced hardware development. Helsen intends to build on years of experience assessing the quality of physical qubits, applying those lessons to the more advanced realm of fault tolerance. The fragility of qubits presents a unique obstacle to error correction; unlike conventional bits, a qubit’s quantum state is altered by the very act of measurement. This prevents the simple error checks used in traditional computing, necessitating entirely new approaches to verification. “The theoretical models for quantum error correction have existed for thirty years,” Helsen explains, “Only now is the hardware becoming good enough for us to put them into practice.” His work will investigate whether errors originate within the qubits themselves, during qubit interactions, or within the error-correction process itself. Helsen also plans to develop a ‘digital twin’ of a quantum computer for testing purposes, a feat complicated by the limitations of conventional computing. Simulating quantum-mechanical systems is inherently difficult because it requires significant computational resources. Consequently, he

The G7 tells industry to hurry up and prep for post-<b>quantum</b> encryption

The G7 tells industry to hurry up and prep for post-quantum encryption A cybersecurity working group at the G7 is urging governments to accelerate defenses against quantum computers that could break some existing forms of public key encryption. The working group’s report, prepared in June at the G7 Summit in France, said organizations “can no longer afford to postpone” work transitioning critical systems and data to “post-quantum” forms of encryption. “The quantum threat remains off the radar for many organizations and not properly resourced, with other security concerns taking precedence,” the working group report said. “Yet, a successful and collective transition to PQC can only be achieved if organizations understand that the quantum threat is an economic and business risk, and not merely a cryptographic risk.” Instead, leaders in government and industry “must reframe the quantum threat from a distant future problem to a near-term threat that demands action across all sectors, not just critical infrastructure.” The report acknowledged uncertain timelines for quantum computers, but identified that threats like harvesting current sensitive, encrypted data to decrypt it in the future do exist today. The report also warned that quantum computers could compromise authentication and assurance mechanisms—by forging trusted data or stealing confirmation— jeopardizing secure communications and legal contracts. The working group’s conclusions are largely in line with what governments have been recommending for years, urging industry to inventory and prioritize their critical systems and shift over to newer, “post-quantum cryptography” encryption algorithms. These encryption algorithms, originally designed by independent cryptographers and vetted by the National Institute for Standards and Technology and National Security Agency, will be used to protect the government’s own systems and data from cybercriminals and foreign governments. The Trump administration recently issued an executive order directing agencies to boost the domestic quantum industry and move up internal

Quantinuum to explore energy-industry uses for <b>quantum</b> tech with Saudi oil giant

Quantinuum to explore energy-industry uses for quantum tech with Saudi oil giant BROOMFIELD — Quantinuum Inc. (Nasdaq: QNT) said this week that it has signed a nonbinding memorandum of understanding with Aramco, a majority state-owned Saudi Arabian oil and gas company, “to explore a series of industrial use cases, enhance quantum computing capabilities, and prepare for a potential research collaboration focused on fault-tolerant quantum computing.” Under the MOU, the Broomfield-based quantum-technology firm will work with the energy giant also known as the Saudi Arabian Oil Co. to “identify Aramco’s challenges that may be suitable for quantum computing research with an emphasis on solving complex problems in energy and digital transformation,” Quantinuum said in a news release. “The collaboration aims to assess how future generations of quantum systems may address relevant scientific and industrial challenges, and to benchmark different quantum computing modalities.” Quantinuum, which was formed in 2021 with the merger of Honeywell Quantum Solutions, formerly a division within parent Honeywell International Inc. (Nasdaq: HON), with U.K.-based Cambridge Quantum Computing, went public this year and raised $1.68 billion in the process. Quantum theory attempts to explain the behavior of matter at atomic and subatomic levels. Because quantum computers take advantage of special properties of quantum systems such as superposition, their computing power and speed are exponentially greater than a traditional computer. Quantinuum, and other local quantum firms, are early in the process of commercializing this technology and applying it to real-world business uses. “Organizations that expect to benefit from quantum computing need to begin developing their expertise, algorithms and workflows today,” Quantinuum CEO Rajeeb Hazra said in the release., President and CEO of Quantinuum. “This MOU creates a framework for Quantinuum and Aramco to exchange expertise, identify important industrial challenges and prepare for a deeper research collaboration. By combining Aramco’s scientific

Anthropic previews Model Hardware Standard for AI-run labs | ETIH EdTech News

Anthropic previews AI hardware standard after early lab tests cut integration time and automate experiments The Model Hardware Standard is being tested across scientific research and advanced manufacturing, with early projects spanning drug discovery, brain imaging and quantum computing Anthropic has opened the first research preview of its Model Hardware Standard, a new specification designed to let AI agents operate physical equipment across laboratories and advanced manufacturing without building a separate integration for every device. The company says MHS can reduce hardware integration from weeks or months to hours or minutes, while giving AI agents a common way to discover equipment, understand operating limits and coordinate multiple devices. Early tests have already moved beyond simulations. Anthropic says AI agents using MHS have run a drug-discovery experiment with real-time error handling at Genentech, compressed an imaging experiment at HHMI Janelia Research Campus from weeks to a single day, and improved laser stabilization on QuEra quantum computers from 58% to 99.3%. The system is not yet open source. Anthropic is first making it available to a group of scientific research labs and manufacturers so it can expand safety evaluations and gather evidence on how AI behaves when it is given direct control over physical equipment. From bespoke integrations to a common hardware layer The problem MHS is trying to solve is straightforward: laboratory and manufacturing equipment often comes with different programming interfaces, software and data formats. Connecting devices together can therefore require specialists to build custom software for each setup. Adding an AI agent creates another layer of integration. MHS introduces a standardized driver that translates between software and the physical device. It uses basic commands such as reading a temperature or changing a setting, while also describing the characteristics and safety limits of each machine. That information can include details that

New qubit architecture enables faster, more accurate operations | MIT News

Researchers from MIT have designed a new qubit architecture that enables qubits to interact with each other much more quickly while remaining very stable. This advance could someday help scientists build practical quantum computers that can run long, complex algorithms with high accuracy. Qubits, which are the building blocks of a quantum computer, usually only store data and rely on other electronics to perform operations and communicate. But qubits are so fragile and error-prone that it is difficult for scientists to connect enough qubits before they lose their information and need to be reset. The MIT team designed a dual-purpose qubit with two separate parts: one component that stores data and one component that interacts with other qubits and electronics. This design improves the reliability of the qubit and enables it to operate with a reduced error rate, so it can perform more computations in the same time span. Their simulations indicate that this new qubit architecture could allow significantly faster and higher-fidelity operations than existing designs. While this research is still in its early days, it holds the potential to help scientists build large-scale, useful quantum computers that can solve real problems which are too difficult for traditional supercomputers to handle. “This work feels like a big step. It is a new architecture that shows how much these systems can be engineered. We have taken two ideas and put them together in a way that can help us accomplish this qubit codesign that we are looking for, creating a pretty rare combination of the things we need to do quantum error correction,” says Alec Yen, who earned his electrical engineering and computer science (EECS) PhD this spring and is co-author of a paper describing the new architecture. He is joined on the paper by lead author Jeremy Kline, an

CGI Federal Executives Detail Federal <b>Quantum</b> Priorities

- CGI Federal executives identified three key quantum technology workstreams - The workstreams cover post-quantum cryptography, quantum computing and quantum sensing - PQC addresses risks posed by future quantum attacks on encrypted data Victor Foulk, vice president of emerging technologies at CGI Federal, and Josh Sonnier, director of analytics and intelligence within the company’s emerging technologies practice, outlined three areas federal agencies should address as quantum technology moves toward commercialization. What Are the Three Quantum Workstreams? In a blog post published Monday, Foulk and Sonnier said the federal government’s quantum agenda encompasses three distinct areas: post-quantum cryptography, quantum computing and quantum sensing. While the technologies are related, they present different timelines, risks and potential uses for agencies. Post-quantum cryptography, or PQC, addresses the security threat posed by future quantum computers. It uses classical cryptographic methods designed to withstand quantum attacks. Foulk and Sonnier said the issue is already relevant because adversaries can collect encrypted information today with the expectation of decrypting it later. The federal government has already begun preparing for the security implications of quantum computing, including efforts to inventory cryptographic systems and prioritize sensitive data for migration to PQC. Quantum computing has a different focus, using qubits, superposition and entanglement to tackle computational problems that are difficult for classical computers. Potential applications include optimization and simulation. Quantum sensing involves using quantum phenomena to detect signals, materials and environmental conditions with high precision. The technology has potential applications in defense, intelligence, navigation and scientific research. By separating the three areas, the executives said federal leaders can better determine which quantum-related technologies and security requirements apply to their missions. How Can Agencies Prepare for Quantum Technology? The executives advised agencies to identify mission-specific uses for quantum computing and sensing while preparing their organizations for post-quantum cybersecurity requirements. That preparation includes

Fidelity Warns Bitcoin's Private Keys Face Future <b>Quantum</b> Risk

Fidelity Examines Bitcoin’s Quantum Vulnerability Bitcoin’s private-key protections may eventually require replacement or supplementation, according to the Fidelity Digital Assets analysis published Sept. 1. Cryptographically relevant quantum computers, or CRQCs, do not currently exist, but sufficiently capable systems could undermine the mathematical assumptions securing transaction authorization and place funds at risk. Fidelity Digital Assets Research identified transaction throughput as a central constraint for any future Bitcoin security upgrade: “Minimizing key size to preserve Bitcoin’s transaction throughput remains a key concern, although the impact may be less pronounced considering the current state of a near-empty mempool.” Private keys allow bitcoin owners to authorize transactions without relying on an intermediary. Wallets use a private key to produce a digital signature that proves control without disclosing the secret key. This relationship between private keys, public keys, and transaction signatures forms the foundation of Bitcoin ownership and self-custody. Bitcoin’s Current Signatures Face a Future Threat Most standard Bitcoin transactions use the Elliptic Curve Digital Signature Algorithm or Schnorr signatures. Schnorr signatures became available through Taproot, with Bitcoin Improvement Proposal 340 specifying Schnorr signatures and BIP 341 establishing Taproot’s spending rules. BIP 341 was assigned in January 2020 before the upgrade activated in 2021. Both schemes rely on the difficulty of solving the elliptic curve discrete logarithm problem with classical computers. A sufficiently powerful quantum computer running Shor’s algorithm could solve that problem and derive private keys from corresponding public keys. Research has reduced some estimates for the resources needed to attack elliptic-curve cryptography, bringing the Bitcoin quantum-security debate into greater focus, although existing quantum systems remain far below cryptographically relevant capacity. SHRINCS Combines Efficiency With a Recovery Path Researchers are evaluating quantum-resistant signature systems that rely on hash functions rather than elliptic-curve cryptography. The SHRINCS draft specification combines a compact stateful signature path with

Scientists Simplify Complex Model Of <b>Quantum</b> Environment Effects

Hongfei Zhan, Ernest W.Z. Pan, and Zhenning Cai of the National University of Singapore have developed an algorithm that halves the spatial dimensionality of open quantum system simulations using the Caldeira-Leggett model, a framework for understanding environmental impacts on quantum systems. The researchers reduced complex, high-dimensional integrals to one- and two-dimensional integrals by utilizing the frozen Gaussian approximation for both evolution and interaction operators, regardless of the truncation level of the Dyson series expansion. This efficient algorithm, validated through a two-dimensional double slit simulation, enables deterministic studies of more realistic open quantum systems. The work demonstrates a method for simulating the two-dimensional Caldeira-Leggett model, a feat previously unattainable. Low-Rank Approximation Reformulates Reduced Density Matrix A low-rank approximation technique has effectively halved the spatial dimensionality of open quantum system simulations, a development that could accelerate research into how environmental interactions impact quantum behavior. This reduction in computational demand stems from a novel reformulation of the reduced density matrix, allowing for more efficient modeling of complex systems previously limited by processing power. Researchers achieved this spatial simplification by representing the system as an ensemble of wavefunctions, leveraging the properties of bath correlation functions. This technique describes quantum dynamics using Gaussian wavepackets, approximating particle motion and providing an efficient representation of system-environment interactions. Consequently, computationally intensive, high-dimensional time integrations were reduced to one- and two-dimensional integrals, a significant simplification for complex calculations. Validation of this new algorithm involved a two-dimensional double slit simulation, a classic experiment in quantum mechanics repurposed to assess the efficiency of the multidimensional Caldeira-Leggett model. The researchers detail their methods in a recent publication, building upon earlier work in statistical mechanics and quantum error correction, citing Physica A: Statistical Mechanics and its Applications 256, 149-162 (1998) and Physics Reports 831, 1-57 (2019) in the references. Further refinement came through

<b>Quantum</b> Material Stack Boosts Infrared Detection Without Cooling

Researchers have created a molybdenum disulfide/graphene/mercury cadmium telluride (MoS2/graphene/MCT) photodetector that achieves an order-of-magnitude improvement in specific detectivity across both visible and mid-wavelength infrared ranges. The device addresses a longstanding challenge in room-temperature mid-wavelength infrared detection: excessive dark current, typically caused by defects in complex multilayer structures. This new van der Waals heterostructure induces “a strong built-in electric field and potential barrier” to suppress dark current, while graphene minimizes trap-assisted recombination. MoS2/Graphene/MCT Heterostructure Enables Uncooled Mid-Infrared Detection The device addresses persistent challenges in room-temperature mid-wavelength infrared detection by suppressing dark current and interfacial recombination, critical factors limiting performance in uncooled sensors. Researchers designed a tri-layered van der Waals heterostructure to achieve this synergistic effect, combining interface band alignment engineering with defect passivation strategies. The core of the innovation lies in the type-II band alignment formed at the MoS2/MCT junction, enabling efficient separation of photogenerated carriers through a built-in electric field. Under illumination, minority electrons within the MCT layer are directed to the MoS2 layer with graphene acting as an assisting interlayer, maximizing photocurrent generation. Simultaneously, a substantial interfacial barrier blocks majority holes, significantly reducing dark current and improving signal clarity. The optimized device demonstrates a responsivity of ~0.325 A W−1 and a peak detectivity of ~8 × 10^10 cm Hz^1/2 W−1 under room-temperature blackbody radiation, outperforming uncooled MWIR photodetectors. “The incorporation of graphene into the 2D/MCT vdW heterostructure synergistically blocked dark current and suppressed interfacial recombination,” leading to extended carrier lifetime and efficient interlayer charge transfer, according to the study. The resulting architecture represents a step toward practical, uncooled mid-infrared detection systems. Dark Current Limitation in Traditional MCT Photodetectors Mercury cadmium telluride (MCT) has long been the material of choice for mid-wavelength infrared (MWIR) detection, but practical applications have been hampered by a persistent obstacle: dark current. Traditional MCT photodetectors

<b>Quantum Computers</b> Need Fewer Resources To Break Blockchain Keys

Keys used in many blockchains are “almost an order of magnitude smaller” than those protecting RSA systems at comparable security levels, meaning a less powerful quantum computer could break them. This vulnerability extends beyond cryptocurrencies to critical infrastructure relying on elliptic curve cryptography, including secure boot processes and web traffic encryption. The work highlights that current resource estimates for quantum attacks haven’t kept pace with advancements in quantum algorithms, and systemic weaknesses in areas like stablecoins and tokenization remain unexplored. Researchers aim to provide a more comprehensive picture of these risks, hoping to spur discussion within both the financial and quantum computing communities. Quantum Computers Threaten RSA and Elliptic Curve Cryptography The efficiency of Shor’s algorithm presents a dual threat to current cryptographic standards, specifically targeting both the Rivest-Shamir-Adleman (RSA) cryptosystem and elliptic curve cryptography, impacting a broad spectrum of secure systems reliant on these methods. This algorithmic vulnerability extends beyond traditional data security, creating risks for protocols like Transport Layer Security (TLS), which currently supports a 521-bit elliptic curve for encrypting and authenticating HTTPS traffic; a quantum attack on this protocol may necessitate a larger, though not necessarily definitive, computational barrier. While a switch to a larger modulus, such as a 1024-bit system, might offer temporary protection for blockchains, its effectiveness hinges on detailed understanding of scaling limitations within leading quantum computing platforms. The vulnerability of elliptic curve cryptography also manifests in specific blockchain implementations, such as Mimblewimble, a privacy-focused protocol used by Litecoin; the introduction of stealth addresses and ECDH key exchange, intended to facilitate offline secret derivation, introduces points of failure susceptible to quantum attacks. Pedersen commitments and the ECDH key exchange protocol, both integral to Mimblewimble’s functionality, are demonstrably vulnerable, further compounded by the use of fixed public parameters in the elliptic curve points employed for

Scientek and Classiq Partner to Accelerate <b>Quantum</b> Software Adoption in Taiwan

TAIPEI, Taiwan, Sept. 02, 2026 (GLOBE NEWSWIRE) -- Scientek Corporation (科榮股份有限公司) and Classiq, the leading quantum computing software company, today announced a go-to-market agreement to expand access to Classiq’s hardware-agnostic quantum software platform across Taiwan’s semiconductor, research and academic communities. Under the partnership agreement, Scientek will introduce Classiq’s platform to semiconductor companies, research institutes, universities, government organizations and other customers within its established network. The companies also plan to offer enablement and training and explore joint research and development programs involving quantum computing applications. Scientek distributes semiconductor equipment, scientific and analytical instruments and advanced technology systems to Taiwan’s industrial and research communities. Its experience supporting advanced technology infrastructure, including quantum hardware, positions the company to help customers connect their computing investments with the software required to design, optimize and execute quantum algorithms. A Media Snippet accompanying this announcement is available by clicking on this link. Classiq’s platform allows researchers and technical teams to describe quantum algorithms as high-level functional models. The platform then automatically creates optimized quantum circuits for the selected hardware or execution environment. This hardware-agnostic approach allows organizations to develop software without committing their algorithms to a single quantum computing architecture. “Taiwan’s semiconductor companies and research institutions are increasingly evaluating how quantum computing could contribute to areas such as materials research, simulation and optimization,” said Mr. Simon Lin, CEO at Scientek Corporation. “Customers need more than access to hardware. They need software, training and development workflows that allow their teams to begin building applications. Classiq adds that capability while preserving flexibility across different hardware systems.” The collaboration is intended to help local organizations establish quantum development capabilities, train researchers and engineers, and evaluate potential applications within existing computing and research environments. “Taiwan is bringing together semiconductor leadership, artificial intelligence, high-performance computing and quantum research,” said Nir Minerbi, co-founder

Qilimanjaro Trains New 99.9% Accurate Machine Learning Readout, Not <b>Quantum</b> System

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

Solowin's AlloyX HK Signs Non-Binding Framework | AXG Stock News

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

Now Is the Time to Plan and Prepare Your Students and Colleagues on Workplace AI

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

<b>Quantum</b> World Congress comes to College Park

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

Bond market in open revolt as Trump declines Iranian peace deal and oil hits $92 a barrel

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,”

Germanium Spin Qubits Get A Full Comparison Of Four Designs

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

UNSW <b>quantum computing</b> pioneer Andrew Dzurak awarded 2026 Walter Boas Medal

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