Quantum Computing Finance &amp; Banking: Portfolio Optimization &amp; Risk Analysis

BigBear.ai vs. IonQ: Weighing Whether to Invest in the Artificial Intelligence Company or the Quantum Computing Giant - The Motley Fool

Choosing between a software-driven artificial intelligence company and a quantum computing pioneer requires weighing utility against technical potential. Investors have this choice in BigBear.ai (BBAI +1.77%) and IonQ (IONQ -0.24%) when searching for high-growth tech opportunities.BigBear.ai provides specialized artificial intelligence solutions for supply chains and defense, while IonQ builds the hardware necessary for a quantum computing future. Both companies are in early stages of development, offering investors exposure to different corners of the emerging technology landscape through distinct business models.The case for BigBear.aiBigBear.ai offers decision intelligence solutions tailored for complex environments like supply chains, autonomous systems, and security at airports through its biometrics solutions. The company generates more than 50% of its revenue from a few key customers, including major contracts with the U.S. Department of Defense and federal intelligence agencies. Note that customer concentration like this adds a layer of risk to the business, as revenue depends heavily on government budget cycles.In its 2025 fiscal year (FY), revenue reached $127.7 million, indicating a decline of 19.3% compared to the previous year. The company reported a net loss of $293.9 million during this period, which was a slight narrowing from the $295.5 million net loss seen in FY 2024. While the software model allows for potential scalability, the recent downward trend in revenue suggests the business is facing challenges in expanding its commercial and government footprint.As of its December 2025 balance sheet, BigBear.ai has a debt-to-equity ratio of zero, signifying it carries no significant debt relative to its shareholder equity. The current ratio is 1.8x, which measures a company's ability to cover its short-term debts with short-term assets. Free cash flow for FY 2025 was negative $46.3 million, calculated as cash from operations minus capital expenditures,

GÉANT and Quantum Internet Alliance Partner to Advance European Quantum Networking Architecture

GÉANT and Quantum Internet Alliance Partner to Advance European Quantum Networking Architecture Pan-European research and education network operator GÉANT and the Quantum Internet Alliance (QIA) signed a Memorandum of Understanding (MoU) on September 8, 2026, to co-develop quantum networking infrastructure, standards, and interoperability protocols across Europe. Signed at GÉANT’s headquarters in Amsterdam by GÉANT CEO Lise Fuhr and QIA Director Stephanie Wehner, the agreement establishes a collaborative framework to transition laboratory-scale quantum communication prototypes into operational cross-border field trials. The collaboration bridges GÉANT’s high-capacity optical network backbone—which connects 40 European National Research and Education Networks (NRENs)—with QIA’s 50-plus institution consortium led by TU Delft. QIA provides full-stack quantum networking expertise spanning physical quantum nodes, memory buffers, and entanglement distribution algorithms, while GÉANT brings multi-tenant network management, cross-border fiber routing, and federated identity infrastructure. [ GÉANT & Quantum Internet Alliance Strategic Partnership Framework ]Focus AreaGÉANT & NREN Infrastructure InputQIA Platform & Technology RoleField Trials & Testbeds• Cross-Border Dark Fiber & Optical Routes• SIG-Quantum Working Group Coordination• Full-Stack Quantum Network Prototypes• Real-World Entanglement Link ValidationArchitecture & Standards• Network Telemetry & Operational Rules• Interoperability Requirements for NRENs• QIA Technology Forum Technical Specs• Quantum Control & Software Layer ProtocolsEcosystem Deployment• Integration with Pan-European Research Users• Sovereign European Quantum Internet Roadmap Under the framework, GÉANT technical teams and NREN community bodies—such as Special Interest Group (SIG)-Quantum—will interface directly with the QIA Technology Forum. This structural alignment aims to eliminate network fragmentation, streamli

Qoro Quantum Signs MoU with STFC Hartree Centre to Build UK Quantum-HPC Demonstrator

Qoro Quantum Signs MoU with STFC Hartree Centre to Build UK Quantum-HPC Demonstrator Quantum middleware startup Qoro Quantum has signed a Memorandum of Understanding (MoU) with the STFC Hartree Centre to construct an enterprise-grade hybrid quantum-HPC demonstrator. Backed by the UK’s Science and Technology Facilities Council (STFC), the collaboration will integrate Qoro’s automated software stack directly into the Hartree Centre’s high-performance computing (HPC) cluster infrastructure to serve UK industry and public sector research workloads. The technical integration utilizes the open-source Quantum Resource Management Interface (QRMI) to establish tightly coupled execution pathways between classical HPC schedulers and multi-QPU resources. Sitting above the interface, Qoro’s open-source Python SDK, Divi, automatically partitions, serializes, and parallelizes complex quantum circuits, routing them as native Slurm jobs into the Hartree Centre scheduler. Below the interface, Qoro’s unified simulation engine, Maestro, operates alongside physical quantum processing units (QPUs) from hardware partners including IBM and Pasqal to provide automated auto-scaling simulation and execution backends. [ Qoro Quantum & STFC Hartree Centre Software Stack Integration ]Stack LayerQoro Software ModuleHartree HPC Integration RoleApplication & SDK• Divi Open-Source Python SDK• Application-Aware Circuit Parallelization• Slurm Job Generation & Circuit DispatchInterface & Middleware• QRMI Open-Source Management Plugin• Dedicato Private Infrastructure Stack• Standardized Multi-QPU Resource Routing• Sovereign Quantum-HPC Value ChainExecution Backends• Maestro Auto-Scaling Simulation Engine• Multi-Node Classical Simulation Substrate• Heterogeneous QPU Access (IBM, Pasqal) Initial demonstrator workflows will target practical challenges in electronic structure theory, physical sciences modeling, and quantum chemistry, establishing documented reference benchmarks for the UK qu

Qubic Secures CA$1.5 Million ($1.08 Million USD) Canadian Federal Contract for Cryogenic Amplifiers

Qubic Secures CA$1.5 Million ($1.08 Million USD) Canadian Federal Contract for Cryogenic Amplifiers Cryogenic signal-processing developer Qubic has signed a contract with an agency of the Canadian federal government valued at up to CA$1.5 million (US$1.08 million). Awarded through the Innovative Solutions Canada (ISC) Testing Stream, the agreement supports the delivery, sub-Kelvin integration, and performance testing of Qubic’s low-noise amplifiers and companion control software in real-world operational environments. Under the contract terms, Sherbrooke-based Qubic will deliver nine Kinetic Inductance Traveling Wave Parametric Amplifiers (KI-TWPAs), along with mounting accessories and evaluation software, starting in late 2026, with final evaluation milestones scheduled through spring 2027. Unlike conventional cryogenic amplifiers that consume up to 50% of a dilution refrigerator’s available cooling power, Qubic’s hardware reduces thermal dissipation to under 0.1 mW. Rather than relying on magnetic-field-sensitive Josephson junctions, Qubic’s KI-TWPA architecture draws non-linear inductance directly from the superconducting transmission line material, providing a magnetic-field-resilient device that operates near the quantum limit to support multiplexed qubit readout and high-sensitivity RF sensing. [ Qubic KI-TWPA Federal Contract Specifications & Performance Metrics ]Contract Term & ValueProcurement FrameworkKI-TWPA Technical Advantages• Total Value: CA$1.5M (US$1.1M)• Innovative Solutions Canada (ISC)• Heat Dissipation: < 0.1 mW per device• Deliverables: 9 Amplifiers & Software• Real-World Federal Agency Testing• Non-Linearity: Superconducting Material (No JJs)• Timeline: Fall 2026 to Spring 2027• Focus: De-risking RF Sensor Supply Chain• Function: Multiplexed Qubit & RF Signal Readout The federal procurement follows commercial momentum for the spin-off from the Institut Quantique and the Institute for Quantum Computing, bringing total raised

The White House just changed the quantum game. Here’s what it means for national security. - Federal News Network

--> Commentary The White House just changed the quantum game. Here’s what it means for national security. For federal civilian agencies, the post-quantum cryptography migration clock is now ticking toward a major accountability deadline. Cameron Chehreh September 11, 2026 6:29 pm 5 min read       President Donald Trump recently signed two executive orders that together represent the most consequential federal action on quantum technology in a generation. I am not saying that lightly. I have spent the better part of my career sitting at the intersection of emerging technology and national security. I have watched quantum move from a theoretical curiosity to a genuine pillar of America’s defense posture. And what the administration put forward is the clearest signal yet that Washington understands the stakes. Let me break down what these executive orders actually say and why they matter so much to those of us in the quantum industry. ‘Ushering in the next frontier of quantum innovation:’ Building the machine The quantum innovation executive order establishes a national effort to develop the first quantum computer powerful enough to initiate an era of quantum-enabled scientific discovery. The White House set a target for 2028. Office of Science and Technology Policy (OSTP) Director Michael Kratsios said it plainly on the day of signing: “We believe this can happen by 2028.”         Join us Sept. 15 and 17 for the Federal Leader’s Guide to the CAIO & CDO where leaders will share what's shaping the future of government. Register today! That is an aggressive timeline, but it is achievable through focused efforts. The order directs the departments of Energy, Commerce and Defense, plus the intelligence community and NASA, to coordinate on deploying quantum-enabled sensors and networks within five years. It calls for a full update to the National Quantum Strategy, new domestic supply chain assessments, and

Moonshot and DeepSeek allegedly passed user questions to Anthropic’s Claude

Anthropic has accused its Chinese rivals, DeepSeek and Moonshot, of secretly routing user requests to its Claude models, then presenting the responses as their own. The American AI company detailed the allegations in a 154-page report released on Thursday, marking a substantial level of documentation supporting the claims. This new accusation differs from previous claims as it alleges direct re-routing of users, potentially exposing Chinese user data to an American company. “[These] findings raise concerns about the misuse of user data by PRC AI labs,” Anthropic stated. Moonshot and DeepSeek Routing Practices Utilize Anthropic’s Claude The Kimi model, developed by Moonshot, reportedly presented outputs from Anthropic’s Claude as its own, according to a 154-page report released by Anthropic on Thursday. This practice extended beyond simple model imitation; Moonshot allegedly used these user interactions, funnelled through Claude, to further refine its Kimi model’s performance. DeepSeek employed a similar strategy, covertly routing user requests to Claude and displaying the responses as originating from its own systems, Anthropic says. This marks the first accusation from Anthropic of direct user re-routing, a departure from previous claims centered on model training. These actions potentially exposed data from Chinese users to an American company, raising significant privacy concerns detailed in Anthropic’s report. That campaign, officials claim, occurred “likely with Chinese government awareness”. Beijing responded to those earlier accusations on Wednesday, characterizing them as attempts to stifle China’s AI industry and warning of potential retaliatory measures. While previous accusations focused on Chinese companies learning from American models, the direct re-routing of users represents a new level of concern for Anthropic, suggesting a deliberate effort to use a competitor’s infrastructure and data for their own gain, according to the company. The report detail

Spanish Firm Qilimanjaro Joins EuroHPC Quantum Push

Barcelona-based Qilimanjaro Quantum Tech is the sole Spanish firm selected for Phase 1 of the EuroHPC Quantum Grand Challenge, chosen from 27 eligible proposals alongside 12 other European quantum companies. The company’s EuroQ-Stack project will map a path for integrating its analog and multimodal quantum computing technology into hyperscale data centers, focusing on the convergence of AI, high-performance computing, and quantum processing. “The project sets out what industrial-scale quantum computing infrastructure requires,” says Qilimanjaro, with successful completion of Phase 1 potentially unlocking up to 30 million euros in venture debt from the European Investment Bank. This selection also awards Qilimanjaro the STEP Seal, recognizing EuroQ-Stack as a high-quality strategic technology project for Europe. EuroQ-Stack Roadmap for Hyperscale Data Center Quantum Integration This distinction acknowledges EuroQ-Stack, Qilimanjaro’s project, as a high-quality strategic technology that will bolster Europe’s technological independence and competitiveness. EuroQ-Stack specifically addresses the integration of Qilimanjaro’s quantum technology into hyperscale data center environments, building upon the company’s existing experience connecting quantum systems to European High Performance Computing infrastructure. The project will map a detailed technical, commercial, and financial roadmap for this integration, focusing on applications that deliver high value, the specific requirements for hyperscale deployment, and how to ensure a resilient European supply chain. Qilimanjaro’s approach centers on combining analog and multimodal quantum computing, a strategy reflected in its SpeQtrum quantum-as-a-service platform, unveiled in November 2025 and housing fluxonium analog and digital QPUs alongside classical HPC resources. The company’s technology uses coherent quantum annealing, an alternative to the D-Wave approach, and is supported by a contract signed in early 2025 to supp

Chula and AIST join forces on quantum tech research

Chulalongkorn University is expanding its research into quantum technology through a new memorandum of understanding with the National Institute of Advanced Industrial Science and Technology. The collaboration arrives alongside a listing of options for addressing corruption and misconduct through multiple channels on Chula’s website. Funding options extend beyond advanced technology to include both the “CU Centennial Park Project” and the “CU Cancer Immunotherapy Fund,” signaling a broad appeal to potential donors. Chula and AIST Formalize Quantum Technology Collaboration via MOU Faculty of Science representatives confirmed they are actively developing quantum-related curricula, intending to use the partnership with AIST to accelerate the training of skilled professionals and support the growth of the technology within the country. This focus on workforce development underscores a pragmatic approach to realizing the potential of quantum computing beyond theoretical advancements. Masahiro Horibe, Deputy Director of AIST’s Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), emphasized the importance of international partnerships in translating quantum research into practical applications; “Cross-border collaboration plays a vital role in accelerating the application of quantum technology in industry and society.” AIST anticipates this collaboration will contribute to establishing a robust quantum ecosystem, fostering new industries and markets, and creating networks connecting academic, research, and business sectors in both Thailand and Japan. The institute views Thailand’s existing industrial strength and established supply chains as key assets in its potential to become a regional hub for quantum technology. Beyond the scientific exchange, the partnership acknowledges the long-standing economic ties between Thailand and Japan, with numerous Japanese companies already operating within the Thai economy. AIST expects this collaborati

Scientists just made quantum computer operations 1,000 times faster - Science Daily

Science News from research organizations Scientists just made quantum computer operations 1,000 times faster A new quantum computing method can make advanced operations more than 1,000 times faster, potentially removing a major barrier to reliable quantum machines. Date: September 11, 2026 Source: Chalmers University of Technology Summary: Researchers have found a way to perform certain quantum operations more than 1,000 times faster, cutting thousands of repeated control cycles down to just one. The advance could reduce errors and bring reliable, fault-tolerant quantum computers closer to reality. Share: Facebook Twitter Pinterest LinkedIN Email FULL STORY The new method has the potential to accelerate quantum computations by a factor of a thousand, bringing fault-tolerant quantum computers a significant step closer. Credit: Chalmers University of Technology, Malin Arnesson and Anna-Lena Lundquist Quantum computers remain highly vulnerable to errors and tiny disturbances from their surroundings. The longer a quantum operation takes to complete, the more time there is for those errors to build up. Researchers at Chalmers University of Technology in Sweden have now developed a method that can perform a broad range of advanced quantum operations more than a thousand times faster. The advance tackles a major obstacle in the field and could help move quantum computing closer to becoming fault-tolerant. Quantum computers could eventually transform areas such as drug discovery, energy technology, cryptography, artificial intelligence, and logistics. Before that can happen, however, these machines need to become much more dependable. Why Quantum Computers Are So Error-Prone A major challenge is that quantum computations can be disrupted by extremely small environmental effects. Electrical noise, cosmic radiation, and overheating can all introduce errors while information is being processed. Traditional computers can experience errors too, but decades of development have pr

Beat the odds: Master and execute Monte Carlo Integration for finance on real quantum computers - Q-CTRL

Every day, global institutions process trillions of dollars in trades, manage complex risk portfolios, and price exotic derivatives. In this environment, speed and precision translate directly into competitive advantage where even marginal gains in estimation accuracy can yield massive financial returns.

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Distributed variational quantum computing with deterministic entanglement tuning

--> Quantum Physics arXiv:2609.10932 (quant-ph) [Submitted on 10 Sep 2026] Title:Distributed variational quantum computing with deterministic entanglement tuning Authors:Ilhwan Kim, Yong-Su Kim, Kwang Jo Lee, Hyukjoon Kwon, Yosep Kim, Hyang-Tag Lim View a PDF of the paper titled Distributed variational quantum computing with deterministic entanglement tuning, by Ilhwan Kim and 5 other authors View PDF HTML (experimental) Abstract:Distributed quantum computing offers a scalable route to quantum information processing by entangling spatially separated processors. Although gate teleportation enables universal computation across distributed nodes, it requires repeated consumption of high-fidelity Bell pairs, ancillary qubits, and real-time feedforward, which imposes significant overhead and reduces fidelity. However, many variational quantum algorithms do not demand full universality; rather, they rely on sufficient expressibility to explore solution spaces effectively. Building on this, we propose a distributed variational quantum computing protocol based on deterministic entanglement tuning. In contrast to probabilistic filtering, our approach deterministically modulates pre-shared entanglement using only local operations and classical communication. We validate the protocol through a proof-of-principle experiment by estimating ground-state energies of the He-H$^+$ molecule and the Schwinger model, showing that diverse entanglement levels can be engineered to match problem-specific requirements. Our results suggest a practical alternative for near-term distributed quantum applications. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2609.10932 [quant-ph]   (or arXiv:2609.10932v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2609.10932 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Journal reference: Physical Review Applied 26, 034017 (2026) Related DOI: https://doi.org/10.1103/9pj6-prlz Focus to le

Infleqtion and Cisco Partner to Advance Distributed Neutral-Atom Quantum Networking Architectures - Quantum Computing Report

Infleqtion and Cisco Partner to Advance Distributed Neutral-Atom Quantum Networking Architectures Neutral-atom quantum hardware and sensing developer Infleqtion, Inc. (NYSE: INFQ) has entered into a strategic joint R&D collaboration with enterprise networking leader Cisco Systems (NASDAQ: CSCO) to co-develop distributed quantum networking architectures. The initiative pairs Infleqtion’s cold-atom quantum processing units (QPUs), atomic clocks, and quantum memory modules with Cisco Quantum Labs’ software-defined networking stack and hardware switches to interconnect heterogeneous quantum devices into scalable distributed computing clusters. The joint technical roadmap addresses key physical and protocol-level integration challenges required to establish dynamic entanglement distribution across networked nodes. By leveraging the optical transitions inherent in neutral cesium and rubidium atom traps, the research targets wavelength transduction between atomic quantum memory and telecommunication-band photonic channels. The architecture integrates with the Cisco Universal Quantum Switch—a research prototype designed to route quantum state telemetry across disparate hardware modalities while preserving coherence via dedicated conversion engines. [ Infleqtion & Cisco Distributed Quantum Networking Framework ]Technical Focus AreaInfleqtion Platform InputCisco Networking IntegrationSensing & Compute Convergence• Atomic Clocks & RF Quantum Sensors• Neutral-Atom Memory Nodes• Real-Time Sensor Telemetry Routing• Multi-Node Data Orchestration LayerState Transduction & Storage• Neutral-Atom QPU Gate Ensembles• Native Qubit Optical Interfaces• Cisco Universal Quantum Switch• Telecom-Band Photonic TransductionNetwork-Aware Compilation• Superstaq Quantum OS Compilation• Dynamic Entanglement Allocation Stack Software compilation will be managed by integrating Infleqtion’s Superstaq quantum software platform with Cisco’s network control layer. This enables network

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D-Wave, Rigetti, and Quantinuum Just Got $300 Million From Washington. Here's What That Changes for Investors.

Rigetti Computing (RGTI -0.53%), D-Wave Quantum (QBTS -2.69%), and Quantinuum (QNT -0.45%) all officially have a new backer: the U.S. government. On Tuesday, all three companies announced that they had finalized funding agreements with the Commerce Department. In exchange for up to $100 million each in funds earmarked for R&D and commercialization under the CHIPS Act, the government will receive ownership stakes in the three quantum computing pure plays. Those won't be controlling stakes. However, the finer details, like exactly how large the government's stake in each company will be, have not been revealed. Let's take a look at what each company is planning on doing with the investments. Rigetti's $100 million targets chip cooling and connectivity Rigetti says it plans to use the money to "address major technical bottlenecks in scaling superconducting quantum computing" and that it "will accelerate the Company's roadmap toward utility-scale quantum computing." Its plans include improving the dilution refrigerators that keep its computers cooled to temperatures near absolute zero (a necessity for the circuits to become superconductors), and developing ways to manufacture more interconnected chips. D-Wave's award funds its supply chain and system scaling D-Wave says its funding will go toward "expanding domestic quantum capabilities, strengthening the underlying supply chain, and bringing increasingly powerful quantum systems to market." The company says it is focused not solely on "breakthrough research," but also on making that research practically useful, scalable, and -- critically -- commercially viable. ExpandNASDAQ: QBTSD-Wave QuantumPremium FeatureMoneyball Superscore68/100Today's Change(-2.69%) $-0.46Current Price$16.66Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$6.4BMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.Day's

Xanadu and AMD Launch Open-Source Backline Extension for PennyLane

Xanadu and AMD Launch Open-Source Backline Extension for PennyLane Xanadu Quantum Technologies (NASDAQ/TSX: XNDU) and AMD (NASDAQ: AMD) have released Backline, an open-source heterogeneous compilation and execution framework connecting quantum processing units (QPUs) with classical hardware engines. Integrated into Xanadu’s PennyLane platform and its MLIR-based Catalyst compiler, Backline establishes Python-native, ultra-low-latency links across CPUs, GPUs, FPGAs, and SmartNICs. The software resolves the classical-quantum data bottleneck by providing direct microsecond-scale communication required for quantum error correction (QEC), high-speed optical network routing, and quantum sensing. To execute real-time QEC before physical qubits decohere, Backline achieves end-to-end loop latencies under 3 microseconds (2.3 μs mean CPU loop, 4.4 μs mean GPU loop). Operating over Remote Direct Memory Access (RDMA) via RoCE v2 protocols, the system utilizes zero-copy user-space memory (libibverbs) to bypass Linux kernel context switches and main memory bottlenecks. This speed allows Python-based syndrome decoders to process quantum measurements from FPGA controllers and issue gate corrections within strict microsecond execution budgets. Backline proves standard enterprise processors like AMD EPYC™ and Threadripper™ CPUs can handle single-digit microsecond feedback loops out of the box without requiring custom ASICs or vendor-locked control hardware. Development teams can prototype low-latency feedback routines on standard workstations before scaling to enterprise AMD Instinct™ GPUs (MI200/MI300) and AMD Versal™ VPK120 adaptive FPGAs. This hardware-agnostic architecture bypasses GPU supply constraints and specialized shared-memory server requirements. [ Backline Heterogeneous Quantum-Classical Architecture Stack ]Hardware LayerAMD Silicon InteroperabilityLatency & Compilation RoleQPU Controller• AMD Versal™ VPK120 Adaptive FPGAs• ERNIC™ RDMA IP Core Integration• Fixed, Sub-M

Quip Network mints art from actual quantum computers

Image: Quantum Echoes by Quip Network · prnewswire.com On September 14, 2026, Quip Network will launch, marking the first time digital collectibles are generated directly by quantum processors and made available to consumers. The collection utilizes gate-based quantum computers to create art from “physically unclonable quantum information,” ensuring each piece is uniquely generated through verifiable quantum randomness. According to CEO Colton Dillion, “Every mint is a real quantum computer doing useful, paid work—the first time our network has turned quantum hardware into an economic engine.” This launch not only bridges the gap between advanced technology and consumer culture but also establishes a revenue stream for quantum hardware providers. Quantum Echoes: First Art Minted with Quantum Hardware This collection of digital art, dubbed Quantum Forged Tokens (QFTs) by developer Quip Network, uses gate-based quantum computers to introduce verifiable quantum randomness into the generative process, distinguishing it from art created through traditional pseudorandom number generation. Each piece’s unique characteristics stem from “physically unclonable quantum information,” ensuring a level of unpredictability unattainable with classical computing methods. Beyond its artistic novelty, the collection represents a new economic model for quantum computing, turning previously idle hardware into a revenue stream, Quip Network says. The launch also introduces Quip Network’s QVRF subnet, a random circuit sampling subnet specifically designed to generate verifiable quantum randomness at scale, expanding the potential applications beyond the art world. Historically, gate-based quantum computers have faced challenges competing with classical computer clusters in areas like combinatorial optimization, the initial focus of Quip’s deployments. However, the random circuit sampling subnet provides these machines with a viable, income-generating function, allowing them to earn token

1,000 Times Faster Operations Bring Reliable Quantum Computing A Step Closer | Newswise - Newswise

So far, quantum computers have been held back by their extreme sensitivity to errors and external disturbances. The longer a quantum operation takes, the greater the risk that computational errors will occur. Now, researchers at Chalmers University of Technology, in Sweden, have developed a new method that allows a wide range of advanced quantum operations to be carried out more than a thousand times faster. The breakthrough addresses a well-known bottleneck in the field and paves the way for fault-tolerant quantum computing.Quantum computers are expected to drive breakthroughs in fields ranging from drug discovery and energy systems to cryptography, artificial intelligence and logistics. Yet before this potential can be realised, quantum computers must become far more reliable than they are today.One of the biggest challenges is the computational errors that arise when quantum computers process information. These errors can be triggered by even the slightest environmental disturbances, such as electrical noise, cosmic radiation or overheating. Conventional computers are also susceptible to such errors, but well-established error-correction techniques allow them to be detected and fixed quickly. For quantum computers, however, the challenge is far greater."The fundamental building blocks of quantum computers, known as qubits, are so sensitive that even the smallest disturbance can cause the quantum state to deviate from the target, resulting in the loss of information. If too many errors accumulate before they can be corrected, the computation can fail," says Lei Du, researcher in Applied Quantum Physics at Chalmers University of Technology in Sweden, and lead author of the theoretical study published in the journal Physical Review Letters.Alternative storage for better protectionIn the search for more resilient and fault-tolerant quantum computing, researchers are exploring new ways to safeguard fragile quantum information. One promising approach involves

1,000 times faster operations bring reliable quantum computing a step closer - EurekAlert!

image: The new method has the potential to accelerate quantum computations by a factor of a thousand, bringing fault-tolerant quantum computers a significant step closer. Photo: Chalmers University of Technology | Malin Arnesson and Anna-Lena Lundquist. view more Credit: Chalmers University of Technology | Malin Arnesson and Anna-Lena Lundquist. So far, quantum computers have been held back by their extreme sensitivity to errors and external disturbances. The longer a quantum operation takes, the greater the risk that computational errors will occur. Now, researchers at Chalmers University of Technology, in Sweden, have developed a new method that allows a wide range of advanced quantum operations to be carried out more than a thousand times faster. The breakthrough addresses a well-known bottleneck in the field and paves the way for fault-tolerant quantum computing. Quantum computers are expected to drive breakthroughs in fields ranging from drug discovery and energy systems to cryptography, artificial intelligence and logistics. Yet before this potential can be realised, quantum computers must become far more reliable than they are today. One of the biggest challenges is the computational errors that arise when quantum computers process information. These errors can be triggered by even the slightest environmental disturbances, such as electrical noise, cosmic radiation or overheating. Conventional computers are also susceptible to such errors, but well-established error-correction techniques allow them to be detected and fixed quickly. For quantum computers, however, the challenge is far greater. "The fundamental building blocks of quantum computers, known as qubits, are so sensitive that even the smallest disturbance can cause the quantum state to deviate from the target, resulting in the loss of information.

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Reconstructing fluid velocity fields from sparse sensors using a variational quantum algorithm

--> Quantum Physics arXiv:2609.09268 (quant-ph) [Submitted on 8 Sep 2026] Title:Reconstructing fluid velocity fields from sparse sensors using a variational quantum algorithm Authors:Nhat-Quang Nguyen, Mohammad Mehedi Hasan Akash, Kourosh Shoele, Yanzhu Chen, Huixuan Wu View a PDF of the paper titled Reconstructing fluid velocity fields from sparse sensors using a variational quantum algorithm, by Nhat-Quang Nguyen and 4 other authors View PDF HTML (experimental) Abstract:Reconstructing fields governed by nonlinear partial differential equations (PDEs) from sparse measurements is a challenging task because the governing equations are strongly nonlinear and observations are available at only a few locations. Fluid velocity fields are a representative case. In this paper, we propose a variational quantum algorithm that reconstructs the solution over the entire spacetime domain at once. Rather than marching in time, the method encodes the full discrete spacetime solution in a single variational quantum state, so that all time points are optimized jointly. The cost function combines a sparse-measurement mismatch term with a physics-informed PDE violation term, letting data and the governing equation constrain the solution simultaneously. We demonstrate the method on the one-dimensional Burgers and Kuramoto--Sivashinsky equations using numerical simulations. The results suggest that variational quantum algorithms with a spacetime encoding scheme offer a compact framework for reconstructing nonlinear PDE dynamics. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2609.09268 [quant-ph]   (or arXiv:2609.09268v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2609.09268 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Yanzhu Chen [view email] [v1] Tue, 8 Sep 2026 18:00:00 UTC (467 KB) Full-text links: Access Paper: View a PDF of the paper titled Reconstructing fluid velocity fields from spar

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Multivariate quantum state preparation with optimized tensor networks

--> Quantum Physics arXiv:2609.09304 (quant-ph) [Submitted on 8 Sep 2026] Title:Multivariate quantum state preparation with optimized tensor networks Authors:Matthew L. Sims-Goh, Lukasz Cincio, Annina Z. Lieberherr, Mekena McGrew, Thomas R. Bromley View a PDF of the paper titled Multivariate quantum state preparation with optimized tensor networks, by Matthew L. Sims-Goh and 4 other authors View PDF Abstract:Quantics tensor trains are attracting intense interest for quantum-inspired computing and quantum state preparation. These methods, which approximate continuum functions by representing their amplitude encoding as a matrix product state (MPS), are exceedingly powerful for univariate functions but rapidly become challenging when handling multivariate functions, since the linear chain topology leads to a large distance between highly-entangled qubits. We overcome this limitation by introducing SCENT (Spectral Clustering for Entanglement miNimizing Trees). SCENT is a protocol that utilizes efficiently-computable pairwise entanglement metrics to determine a suitable tree tensor network (TTN) structure, which can then be efficiently approximated using tensor cross-interpolation (TCI); we find that it substantially outperforms MPS methods and improves upon previous TTN methods. We then apply these optimized TTNs to state preparation, introducing an approximate circuit compilation method based on environment-tensor methods without significantly conceding overall accuracy. Importantly, the inherent gauge freedom of TTNs can be directly exploited in this method, resulting in higher fidelity at a given circuit depth. We demonstrate this quantum state-preparation pipeline on archetypal state-preparation problems in quantum chemistry and financial portfolio optimization. In our flagship demonstration, we encode a 20-variable probability distribution with long-ranged, non-nearest neighbor inter-variable correlations in a 200-qubit state-preparation circuit with infidelity $7

Xanadu and ASML Partner to Optimize Lithography Processes for Ultra-Low-Loss Quantum Photonics

Xanadu and ASML Partner to Optimize Lithography Processes for Ultra-Low-Loss Quantum Photonics Publicly traded photonic quantum computing developer Xanadu Quantum Technologies (NASDAQ/TSX: XNDU) and semiconductor lithography leader ASML (NASDAQ: ASML) have entered into a research collaboration to advance lithographic process nodes for photonic quantum hardware. The joint technical program targets the reduction of optical propagation losses within integrated silicon photonic circuits—a primary physical barrier to achieving fault-tolerant quantum error correction in light-based QPUs. The technical engagement focuses on mitigating Line Edge Roughness (LER), a nanometer-scale sidewall imperfection introduced during deep-ultraviolet (DUV) and extreme-ultraviolet (EUV) photolithography and etch processing. In photonic quantum networks, LER induces Rayleigh scattering, causing photons to scatter out of integrated optical waveguides. By leveraging ASML’s advanced exposure systems and computational lithography, the partnership aims to establish optimized patterning conditions to achieve ultra-smooth waveguide sidewalls, minimizing photon loss across complex routing circuits and squeeze-state generation modules. Reducing optical loss directly lowers the physical qubit overhead and photon-subtraction thresholds required for quantum error correction in room-temperature photonic architectures. The collaboration marks an expansion of Xanadu’s semiconductor ecosystem footprint, supporting its manufacturing transition toward commercial-scale photonic chips engineered for utility-scale fault tolerance. Review the official press release on GlobeNewswire here and examine our previous coverage of Xanadu’s Fault-Tolerant Photonic Hardware Roadmap here. September 9, 2026 Mohamed Abdel-Kareem2026-09-09T18:41:41-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.