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Quantum Computing Finance & Banking: Portfolio Optimization & Risk Analysis

Quantum finance news: JPMorgan, Goldman Sachs quantum banking. Portfolio optimization, risk modeling, Monte Carlo & algorithmic trading.

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Financial services represent the largest commercial opportunity for near-term quantum computing, with institutions developing quantum algorithms for portfolio optimization, risk analysis, derivative pricing, and fraud detection. The sector's mathematical foundations in optimization and stochastic modeling align naturally with quantum computational advantages.

High-value use cases include portfolio optimization using quantum algorithms to solve mean-variance optimization across thousands of assets; risk analysis and Monte Carlo simulations where quantum amplitude estimation offers quadratic speedup; and derivative pricing for path-dependent options requiring high-dimensional integration.

India's Banking and Financial Services Quantum Landscape

India's banking and financial services sector, with over $2.5 trillion in assets, represents a significant potential market. The National Quantum Mission includes financial applications within its quantum computing applications scope. The Reserve Bank of India (RBI) and Securities and Exchange Board of India (SEBI) monitor quantum computing implications for market infrastructure and security.

Tata Consultancy Services (TCS) partners with IBM and the Andhra Pradesh government to deploy India's largest quantum computer at the Quantum Valley Tech Park in Amaravati, with applications including financial optimization. TCS develops quantum algorithms for portfolio optimization, risk modeling, and fraud detection. Infosys explores quantum computing through its Quantum Living Labs (QLL), offering advisory and proof-of-concept services with demonstrated capabilities in logistics, finance, cybersecurity, and healthcare.

The NQM targets developing quantum machine learning and optimization algorithms applicable to financial services, with commercial deployment expected as hardware matures toward the 50-1000 qubit range.

Disentangling Expressibility, Symmetry Protection, and Hardware Noise in Variational Quantum Simulation of the Two-Flavor Schwinger Modelquantum-computing

Disentangling Expressibility, Symmetry Protection, and Hardware Noise in Variational Quantum Simulation of the Two-Flavor Schwinger Model

--> Quantum Physics arXiv:2609.30496 (quant-ph) [Submitted on 24 Sep 2026] Title:Disentangling Expressibility, Symmetry Protection, and Hardware Noise in Variational Quantum Simulation of the Two-Flavor Schwinger Model Authors:Karthikeya Machiraju, Krishna Sujith, Kaustav Bhowmick View a PDF of the paper titled Disentangling Expressibility, Symmetry Protection, and Hardware Noise in Variational Quantum Simulation of the Two-Flavor Schwinger Model, by Karthikeya Machiraju and 2 other authors View PDF HTML (experimental) Abstract:Existing quantum simulations of the two-flavor Schwinger model have run at a single lattice size, and it is not known how far the variational approach can be pushed or which weakness stops it first. Following the model from N = 2 to 6 staggered lattice sites, we find that the binding constraint at reachable sizes is hardware noise rather than circuit expressibility or trainability, and identify N = 3 as the immediately viable extension of existing trapped-ion experiments. The energy error of a charge-conserving ansatz collapses onto one function of p/d, the ratio of variational parameters to physical-sector dimension, and falls by more than two orders of magnitude as p/d rises through order unity, giving the expressibility condition L(4N - 1) >= binom(2N,N) for L circuit layers. The condition is local in chemical potential: at N = 3 the layer count sufficient at zero chemical potential leaves a 74.38% error near the first-order boundary, while one further layer reaches 0.08%. Charge conservation also protects trainability and prevents charge-sector leakage: as the qubit count doubles from 4 to 8, the normalized gradient variance falls to 1/3.56 of its starting value for the constrained ansatz, versus 1/13.57 for an unconstrained circuit. Comparing a global contraction with per-gate local noise, a fixed-parameter control shows that the noise model, not whether the optimizer runs inside the noisy loop, sets how strongly noise degrades the fi

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Encryptability As a Coordinate Choice: Depth-One Homomorphic Federated Learning of Quantum Neural Networksquantum-computing

Encryptability As a Coordinate Choice: Depth-One Homomorphic Federated Learning of Quantum Neural Networks

--> Quantum Physics arXiv:2609.30581 (quant-ph) [Submitted on 24 Sep 2026] Title:Encryptability As a Coordinate Choice: Depth-One Homomorphic Federated Learning of Quantum Neural Networks Authors:Marcel Mordarski, Nathan Mani, Arshad Patel, William Knottenbelt, Roberto Bondesan View a PDF of the paper titled Encryptability As a Coordinate Choice: Depth-One Homomorphic Federated Learning of Quantum Neural Networks, by Marcel Mordarski and 4 other authors View PDF HTML (experimental) Abstract:Encrypted training relies on keeping server-side updates low-degree. This constraint traditionally excludes models whose weights inhabit a compact Lie group (notably variational quantum circuits, where every trainable weight is an $\mathrm{SU(2)}$ rotation). Expressed in Euler angles or discrete alphabets, these updates appear transcendental, historically demanding prohibitive costs: one client--server round per gate, or upwards of $25{,}000$ operations per weight. This penalty is strictly an artefact of coordinates. In the unit-quaternion (spin) chart, group composition is exactly bilinear (degree two, with coefficients in $\{-1,0,+1\}$). Consequently, encrypted rotation updates cost one multiplicative level and federated averaging costs zero in any levelled homomorphic scheme, completely eliminating bootstrapping. This implementation-independent algebraic property is confirmed across two cryptographic backends, introducing only $0.0$ and $-2.0\times10^{-12}$ rad of aggregation error. Leveraging this reduction yields a non-interactive protocol for encrypted federated training of hybrid quantum--classical networks. It includes correctness proofs for aggregation and sign handling, plus a compilation lemma proving parameterised entanglers add only constant-factor overhead without altering the depth class. Empirically, a paired five-seed study confirms zero measurable utility tax ($\Delta=+9\times10^{-6}$ MSE, $p=0.92$), and a noise-budget ablation falsifies the hypothesis that encr

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Topology from disorderquantum-computing

Topology from disorder

Topological phases of matter have long been studied in idealized pure states at absolute zero. Two experiments now show how controlled disorder can give mixed states measurable topological features in quantum simulators. This is a preview of subscription content, access via your institution Access options Access through your institution Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel any time Learn more Subscribe to this journal Receive 12 print issues and online access $259.00 per year only $21.58 per issue Learn more Rent or buy this article Prices vary by article type from$1.95 to$39.95 Learn more Prices may be subject to local taxes which are calculated during checkout Fig. 1: Emergence of topology and topological phase boundaries in disordered quantum simulators. Subjects Quantum simulation Topological matter Ultracold gases Sensory Ethnography in Urban Anthropology ReferencesYue, Z. et al. Nat. Phys. 22, 844–850 (2026).Article  Google Scholar  Su, L. et al. Nat. Phys. https://doi.org/10.1038/s41567-026-03381-6 (2026).Article  Google Scholar  Senthil, T. Annu. Rev. Condens. Matter Phys. 6, 299–324 (2015).Article  ADS  Google Scholar  Chen, X., Gu, Z.-C., Liu, Z.-X. & Wen, X.-G. Science 338, 1604–1606 (2012).Article  ADS  Google Scholar  Ma, R. & Wang, C. Phys. Rev. X. 13, 031016 (2023). Google Scholar  Preskill, J. Quantum 2, 79 (2018).Article  Google Scholar  Google Quantum AI and Collaborators. Nature 638, 920–926 (2025).Article  ADS  Google Scholar  Evered, S. J. et al. Nature 645, 341–347 (2025).Article  ADS  Google Scholar  Braun, C. et al. Nat. Phys. 20, 1306–1312 (2024).Article  Google Scholar  Yao, R. et al. Nat. Phys. 20, 1726–1731 (2024).Article  Google Scholar  Download referencesAuthor informationAuthors and AffiliationsDepartment of Ph

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CGI Federal to research AI and quantum for Defense Logisticsquantum-computing

CGI Federal to research AI and quantum for Defense Logistics

CGI Federal has entered into an applied research agreement with the U.S, the company says. Defense Logistics Agency and the University of Tennessee, Knoxville to explore agentic AI and quantum computing for logistics resilience. The initiative, called Quantum Pathfinder, aims to move these technologies “from promise to practice” within the Defense Logistics Agency’s systems, uniting government needs with academic research and commercial capability. “Quantum computing will not arrive as a single product launch; it will arrive as a series of hard research problems solved against real mission constraints,” said Victor Foulk, Vice-President of Emerging Technologies at CGI Federal. Initial exploration will focus on warehouse operations, reverse logistics, and inventory positioning for contested environments. DLA, CGI Federal, and UT Knoxville Launch Quantum Pathfinder Research CGI Federal will host the Quantum Pathfinder initiative at its onshore delivery center in Knoxville, Tennessee, directly linking research efforts to a specific geographic hub for quantum innovation. This strategic location reflects a collaborative aim to bolster East Tennessee’s growing reputation as a destination for quantum computing by using existing university and national laboratory resources. The initiative’s initial focus will be on dynamic smart-warehouse orchestration, reverse logistics, and resilient inventory positioning in challenging operational environments, with specific use cases to be determined jointly in the coming months. These areas represent critical logistical challenges for the Defense Logistics Agency, offering a practical testing ground for emerging technologies. CGI Federal intends to build a bridge between current systems and the potential of quantum technology, emphasizing the importance of collaboration with partners who understand both the mission requirements and the underlying research. “We are investing to do that work now, alongside a federal partner that understa

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Quantum attack protection built into CaveroCore for defencequantum-computing

Quantum attack protection built into CaveroCore for defence

Cavero Secure is demonstrating a new approach to hardware security intended to proactively defend against supply chain attacks and emerging quantum threats, the company says. CaveroCore secures completed devices even before shipment, allowing for secure activation in the field using a network of trusted devices; the system identifies cloned, counterfeited, or compromised components. This capability extends quantum attack protection to even the most constrained devices, replacing vulnerable static keys. The company states it is seeking partners and investors to help develop trust protocols for defence technology as it participates in Tech Tour Quantum and Defence in Berlin. CaveroCore Secures Defence Hardware Throughout Supply Chains This proactive approach contrasts with conventional methods focused on threat detection after deployment, offering an advantage in securing sensitive technologies. The system flags cloned or counterfeited devices and components, addressing a vulnerability within complex supply chains. This capability extends quantum-safe security to environments previously considered impractical for such protection. Cavero Secure intends to foster collaboration at the Tech Tour Quantum and Defence event in Berlin, seeking investment to accelerate development of these trust protocols. The company’s factory-to-field solution aims to establish a secure chain of custody for mission-critical technology, protecting it from compromise throughout its lifecycle. Source: https://caverosecure.com/insights/tech-tour-quantum-and-defence-berlin More like thisQuantum Computing Business NewsSplendor Labs launches blockchain built to withstand quantum attacksQuantum AlgorithmsDecaQ achieves 2.045-second median for complex quantum workloadQuantum HardwareInfleqtion Entangles 30 Logical Qubits on Sqale ComputerQuantum Computing Business NewsQTREX Quantum’s AME segment drives $1.55M in first halfStay currentSee today’s quantum computing news on Quantum Zeitgeist for the lat

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QuEra Computing says useful quantum computers arrive in two yearsquantum-computing

QuEra Computing says useful quantum computers arrive in two years

QuEra Computing asserts that useful quantum computers will arrive within two years, a claim that challenges the longstanding view of the technology as a distant prospect. Chief Commercial Officer Yuval Boger publicly stated this timeline, predicting a shift from “toys” to tools capable of tackling complex problems. This assertion sparked debate among quantum professionals, particularly regarding the difficult task of “scaling” systems to the necessary qubit counts. QuEra distinguishes its prediction by framing scaling as a series of testable steps, supported by eight peer-reviewed papers and a commitment to deliver its Libra fault-tolerant system on Amazon Braket in 2028. Neutral Atom Architecture Enables All-to-All Qubit Connectivity Neutral atom architectures circumvent a significant bottleneck in quantum processing by enabling all-to-all qubit connectivity, a feature QuEra Computing uses in its roadmap toward scalable, fault-tolerant systems. Unlike architectures reliant on fixed chip layouts or signal routing, QuEra’s platform physically moves neutral atoms to establish interactions, eliminating the need for SWAP gates and the associated latency when manipulating distant qubits. This physical agility is rooted in the inherent uniformity of neutral atoms, a benefit stemming from the absence of manufacturing variability present in fabricated superconducting circuits. The ability to bring any qubit into contact with any other is not merely an architectural detail; it directly impacts the quantum error correction tax, a critical factor in achieving practical quantum computation. High-rate error-correcting codes are progressively reducing the ratio of physical to logical qubits required for fault tolerance, and QuEra’s Libra system, slated for delivery on Amazon Braket in 2028, is designed for 256 error-corrected logical qubits from just over 10,000 physical qubits, targeting a logical error rate of 10⁻⁶. This design reflects a shift in the field, moving away from as

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Who’s News: Strategic Appointments at D-Wave Quantum, Oxford Quantum Circuits, and Bifrost Electronicsquantum-computing

Who’s News: Strategic Appointments at D-Wave Quantum, Oxford Quantum Circuits, and Bifrost Electronics

Who’s News: Strategic Appointments at D-Wave Quantum, Oxford Quantum Circuits, and Bifrost Electronics D-Wave Quantum Inc. (NASDAQ: QBTS) has appointed veteran financial technology executive Bernard Gavgani to its Board of Directors and Cybersecurity Committee. Gavgani currently serves as Senior Advisor for Technology and Innovation to BNP Paribas Group Executive Management and previously served as Group Chief Information Officer (CIO) of BNP Paribas. His extensive background in global technology strategy, cybersecurity, AI governance, and operational transformation will help strengthen D-Wave’s technology infrastructure and governance as the company expands its dual-platform quantum offerings for enterprise deployments. The official announcement is available here. Oxford Quantum Circuits (OQC) has appointed Simon Phillips as Chief Product Officer (CPO), transitioning him from his previous role as Chief Technology Officer (CTO). Phillips, who joined OQC in 2019, has led the development of three generations of quantum systems and the expansion of OQC’s deployed systems into colocation data centers. In his new role, he will lead OQC’s product strategy, focusing on commercializing enterprise-ready Quantum-AI data center platforms following the company’s recent £260 million Series C funding round and joint platform development initiatives with JPMorgan Chase and AMD. The full release can be viewed here. Bifrost Electronics has named deep-tech entrepreneur Doug Campbell as its new Chief Executive Officer (CEO). Campbell brings over two decades of startup and operational leadership experience, having previously co-founded and led Colorado battery startup Solid Power from its inception to an IPO in 2021. At Bifrost, Campbell will lead the commercialization and operational scaling of the company’s flagship Heimdall Amplifier—a magnetically insensitive quantum readout amplifier designed to eliminate Josephson junctions and resolve scaling bottlenecks for superconducting and

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Quantum computing could help US reduce reliance on China's rare earth supply chain, tech CEO says - Fox Businessquantum-computing

Quantum computing could help US reduce reliance on China's rare earth supply chain, tech CEO says - Fox Business

close video Quantum computing could help US reduce reliance on China for rare earths, CEO says Pasqal CEO Wasiq Bokhari explains how quantum computing could improve rare-earth processing efficiency and help the U.S. and its allies strengthen critical mineral supply chains. Quantum computing could give the U.S. and its allies a new tool in their effort to reduce reliance on China for critical rare earth elements, with one technology company betting the emerging technology can make extracting and processing limited Western supplies more efficient. Pasqal is partnering with USA Rare Earth and Riven Systems to explore how quantum computing, artificial intelligence and rapid chemical testing can improve the separation and processing of rare earth elements.Pasqal CEO Wasiq Bokhari told FOX Business that the goal is essentially to get more usable rare earth material out of the resources already available outside China. China, Bokhari explained, has significant control over global rare-earth supply and processing, while the U.S. and its allies are seeking to develop alternative supply chains for materials used in magnets, electronics, defense systems and advanced manufacturing. TOP AI COMPANIES CALL FOR SAFETY MEASURES WHILE CRITICS WARN REGULATION COULD STIFLE INNOVATION Pasqal is partnering with USA Rare Earth and Riven Systems to explore how quantum computing, artificial intelligence and chemical testing could improve rare-earth separation and processing. (Victor Moriyama/Bloomberg via Getty Images / Getty Images)"When we have smaller reserves, then it becomes even more important to be more efficient at finding that element," he said.Because rare earth elements generally aren't sitting underground by themselves, and are mixed with other minerals, chemically separating them can be a complicated process.Bokhari said quantum computing can model the molecules and compounds containing rare earths at a deeper level, potentially helping researchers identify properties that can

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Quantum computing could help US reduce reliance on China for rare earths, CEO says - Fox Businessquantum-computing

Quantum computing could help US reduce reliance on China for rare earths, CEO says - Fox Business

to top close Video This video is playing in picture-in-picture. Foxcut September 25, 2026 05:48 CLIP Quantum computing could help US reduce reliance on China for rare earths, CEO says Pasqal CEO Wasiq Bokhari explains how quantum computing could improve rare-earth processing efficiency and help the U.S. and its allies strengthen critical mineral supply chains. Tags NOW - 9:30 PM9:30 PM10:00 PM10:30 PM11:00 PM11:30 PM Fox Business Channel COPS 9:00 PM - 9:30 PM WatchCOPS 9:30 PM - 10:00 PM COPS 10:00 PM - 10:30 PM COPS 10:30 PM - 11:00 PM COPS 11:00 PM - 11:30 PM COPS 11:30 PM - 12:00 AM Fox News Channel Hannity 9:00 PM - 10:00 PM WatchGutfeld! 10:00 PM - 11:00 PM Fox News @ Night 11:00 PM - 12:00 AM Fox Weather Channel Fox Weather Live Stream Watch Fox News Radio FOX News Radio Live Channel Coverage Live Stream Watch

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Great News for IonQ Stock Investors!quantum-computing

Great News for IonQ Stock Investors!

The quantum computing company announced a huge breakthrough. *Stock prices used were the afternoon prices of Sept. 23, 2026. The video was published on Sept. 25, 2026. Read NextSep 25, 2026 •By Chris NeigerRigetti, D-Wave, or IonQ: Which Quantum Stock Has the Best Shot at Survival?Sep 25, 2026 •By Johnny RiceIonQ Has Made Another Quantum Computing Breakthrough: Here's What a $1,000 Investment in It Could Look Like in 5 YearsSep 25, 2026 •By Will HealyBetter Quantum Computing Stock: Nvidia vs. IonQSep 25, 2026 •By Keithen Drury$500 Invested in IonQ Now Could 10x if Quantum AI Hits by 2029Sep 24, 2026 •By Keith SpeightsIonQ Cleared One of Quantum Computing's Biggest Hurdles. Should You Buy the Stock?Sep 23, 2026 •By Robert IzquierdoBigBear.ai vs. IONQ: Comparing Revenue Trends Between an Artificial Intelligence Upstart and a Quantum Computer CompanyAbout the AuthorA Fool since 2019, and a graduate of Cal State LA with a B.S. in Finance and M.A. in Economics. Parkev is an adjunct professor of Finance and enjoys reading about financial and economic history. You'll often find him writing about stocks in the consumer goods and technology sectors.TMFParkevX@TMFParkevStocks MentionedIonQNYSE: IONQ$45.48(+1.11%)+$0.50Motley Fool Stock Advisor’s Latest PickGet Access---% Avg Return*Average returns of all recommendations since inception. Cost basis and return based on previous market day close.

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Roadmap platform launched to help enterprises turn quantum computing into business value - Digital Journalquantum-computing

Roadmap platform launched to help enterprises turn quantum computing into business value - Digital Journal

As quantum computing technology advances at an accelerating pace, many organisations face a growing strategic dilemma. While breakthroughs in hardware regularly make headlines, business leaders often struggle to determine which quantum applications are relevant to their operations, when those applications are likely to become commercially viable, and how to justify investment. To address this challenge, Boston-based Zapata Quantum has introduced Quantum Pilot™, a cloud-based platform designed to help enterprises systematically identify, assess and develop high-value quantum computing applications. The company says the tool provides a structured methodology for translating quantum innovation into practical business outcomes. The launch comes at a time when quantum computing is steadily moving from the realm of academic research towards commercial deployment. Governments, technology companies and investors worldwide have committed substantial resources to the sector, anticipating applications across pharmaceuticals, logistics, finance, materials science and cybersecurity. Yet despite growing interest, uncertainty remains a significant obstacle. A 2022 interview with Zapata’s leadership highlighted that many enterprises were already beginning to incorporate quantum computing into future planning while remaining uncertain about timelines and implementation strategies. According to the company, near-term benefits are likely to emerge through hybrid approaches that combine quantum and classical computing systems rather than relying exclusively on future fault-tolerant quantum machines. Bridging the gap between hardware and business strategy Quantum Pilot is intended to address what Zapata views as a growing disconnect between advances in quantum hardware and organisations’ preparedness to exploit those advances. Rather than focusing on a single quantum computing architecture or hardware provider, the platform continuously analyses developments across the broader quantum e

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Qot Labs Restores VQE Convergence with Error Mitigationquantum-computing

Qot Labs Restores VQE Convergence with Error Mitigation

Combining dynamical decoupling, zero noise extrapolation, and Pauli twirling restores convergence within the ADAPT-VQE algorithm under noisy conditions; this enables more reliable preparation of molecular ground states using quantum computation. Both coherent and incoherent forms of hardware noise impede operator selection, a key step in building the computational circuit, preventing accurate results without mitigation strategies. A vulnerability has been identified within ADAPT-VQE, a quantum computing technique used for finding molecular ground states, relating specifically to how accurately the algorithm chooses computational steps. Predictable and random hardware errors disrupt this key step, hindering its ability to build effective circuits without employing error correction methods. Combining dynamical decoupling, zero noise extrapolation, and Pauli twirling overcomes these issues by restoring reliable operation despite existing imperfections in current technology. Researchers from Virginia Tech and Lake Zurich High School have identified a key weakness within ADAPT-VQE, a quantum computing technique used as a recipe for finding the lowest energy state of a molecule. Inaccuracies during operator selection, akin to choosing specific tools from a set of tools based on what needs fixing, can prevent the algorithm from building effective circuits when faced with both predictable and random hardware errors. These errors distort key calculations needed to guide circuit construction, hindering accurate results without mitigation strategies. Fortunately, combining techniques such as dynamical decoupling, zero noise extrapolation, and Pauli twirling, methods similar to filtering static out of a radio signal or averaging multiple measurements, successfully restores reliable operation despite these imperfections. Mitigation of qubit decoherence enables resilient variational quantum eigensolver calculations Orders-of-magnitude improvements in ADAPT-VQE efficiency were ach

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A Quantum Leap for Public Education: FCPS Plans to Host the World's First K-12 Quantum Computer - Yahoo Financequantum-computing

A Quantum Leap for Public Education: FCPS Plans to Host the World's First K-12 Quantum Computer - Yahoo Finance

This is a paid press release. Contact the press release distributor directly with any inquiries. A Quantum Leap for Public Education: FCPS Plans to Host the World's First K-12 Quantum Computer TMX Newsfile Fri, September 25, 2026 at 1:30 PM EDT 2 min read Fairfax County, Virginia--(Newsfile Corp. - September 25, 2026) - Fairfax County Public Schools (FCPS) is making history through a groundbreaking partnership with Connected DMV and the Fairfax County Economic Development Authority (FCEDA) that will bring an operational quantum computer directly to students at Skyview High School, creating a first-of-its-kind opportunity for K-12 public education. This partnership creates a unique opportunity for FCPS students to work with an emerging science as it moves from research laboratories into fields such as cybersecurity, medicine, materials science, finance, logistics, and national security. The quantum computer planned for Skyview is about the size of a small refrigerator and is designed for learning. Students will have hands-on experience with a technology that operates very differently from the computers we use every day. They will explore fundamental quantum concepts, test problems such as finding the most efficient way to organize a schedule, and compare how a quantum computer approaches a problem with how a traditional computer would solve it. Along the way, students will learn not only what quantum computing can do, but also its current limitations. Students will develop skills in coding, mathematics, experimentation, data analysis, problem solving, communication, collaboration, and critical thinking. "Our responsibility is to prepare our students for their future and not our past. Their future is yet to be imagined with careers that do not yet exist," said FCPS Superintendent Dr. Michelle C. Reid.

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CGI Federal, DLA, and University of Tennessee Launch “Quantum Pathfinder” Initiative for Supply Chain Resiliencequantum-computing

CGI Federal, DLA, and University of Tennessee Launch “Quantum Pathfinder” Initiative for Supply Chain Resilience

CGI Federal, DLA, and University of Tennessee Launch “Quantum Pathfinder” Initiative for Supply Chain Resilience U.S. government technology provider CGI Federal Inc., a subsidiary of CGI Inc. (NYSE: GIB), has entered into an applied research and development agreement with the U.S. Defense Logistics Agency (DLA) and the University of Tennessee, Knoxville (UT). The initiative, titled Quantum Pathfinder, explores how agentic artificial intelligence (AI) and quantum computing can optimize advanced warehouse management, reverse logistics, and inventory positioning across contested military environments. Hosted at CGI Federal’s onshore delivery center in Knoxville, Tennessee, the Quantum Pathfinder program bridges federal mission objectives with academic research and commercial quantum capabilities. Rather than testing theoretical demonstrations, the coalition focuses on solving logistical bottlenecks—such as dynamic smart-warehouse orchestration and asset disposition—to strengthen supply chain resilience during operational disruptions. The initiative operates in coordination with the Knoxville Quantum Accelerator and the broader Tennessee Quantum Initiative to foster regional quantum workforce development and commercialization pipelines. [ Quantum Pathfinder Initiative Architecture & Key Stakeholders ]Stakeholder EntityInstitutional RoleResearch Scope & DeliverablesCGI Federal Inc.(Host: Knoxville Onshore Center)• Systems Integrator & Commercialization Lead• Defense, Intelligence & Space Unit• Hybrid Agentic AI & Quantum Workload Integration• Onsite hosting, benchmark publication & PoC executionDefense Logistics Agency (DLA)• Federal Government Mission Owner• U.S. Department of Defense Logistics Hub• Smart-Warehouse Orchestration & Reverse Logistics• Resilient inventory positioning in contested domainsUniversity of Tennessee, Knoxville• Academic Research & Talent Lead• Knoxville Quantum Accelerator• Tennessee Quantum Initiative alignment•

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Researchers Detect Relationships in Quantum Data with 15% Greater Accuracyquantum-computing

Researchers Detect Relationships in Quantum Data with 15% Greater Accuracy

Relationships between states, not individual states, are under investigation. An adaptive relational learning framework is introduced for multiinstance quantum data accessing both pairwise and higher-order relations. The model combines global measurements via SWAP or CYCLE tests for evaluating an n-state Bargmann invariant with shallow trainable transformations applied locally to each input state. Continuous-variable (CV) photonic systems offer natural access to quantum data and necessary computing operations, demonstrating this approach. Tasks solved include hidden relationship detection, geometric phase classification, and sensing in the presence of an unknown shared nuisance. Reduced measurement requirements enable efficient relational learning within photonic quantum computing Perfect test accuracy with just 500 inference shots represents a leap forward in quantum machine learning; previously, comparable results demanded one hundred times more measurements per data point. This breakthrough, achieved by scientists at University of Sheffield using photonic systems, unlocks new possibilities for processing multiple quantum states simultaneously and identifying relationships between them. Their adaptive relational learning framework accesses these connections rather than treating each state independently, enabling complex tasks like hidden relationship detection and geometric phase classification to be performed efficiently. The team’s approach circumvents the rapidly increasing computational cost associated with traditional methods, paving the way for advancements in sensing technologies reliant on analysing interconnected quantum information. Observed improvements averaged ΔA=0.15 over existing continuous-variable classical shadow methods when utilising this framework on tasks involving hidden relationship detection, geometric phase classification, and sensing under shared noise. It is particularly suited to scenarios where solutions are generated by quantum algor

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DRDO Signs First High-Value TDF Pact with Startup Zero mK India for 20 mK Dilution Refrigeratorquantum-computing

DRDO Signs First High-Value TDF Pact with Startup Zero mK India for 20 mK Dilution Refrigerator

DRDO Signs First High-Value TDF Pact with Startup Zero mK India for 20 mK Dilution Refrigerator India’s Defence Research and Development Organisation (DRDO) has executed its first high-value deep-tech project agreement under the Technology Development Fund (TDF) scheme with domestic startup Zero mK India. The collaborative contract targets the indigenous engineering and fabrication of a 20 millikelvin (20 mK) dilution refrigerator, establishing a secure domestic supply chain for sub-kelvin cryogenic hardware essential for quantum computing and defense applications. The agreement represents the first high-value project sanctioned under the expanded ₹500-crore (~$52.2 million USD) TDF corpus approved by Defence Minister Rajnath Singh. Dilution refrigerators provide the ultra-low temperature, sub-absolute-zero environment (spanning down to 20 mK) required to preserve phase coherence in solid-state quantum processing units, including superconducting circuits, silicon spin qubits, and quantum sensing arrays. The project is monitored, mentored, and technically evaluated by the director and scientific team at DRDO’s Solid State Physics Laboratory (SSPL) in Delhi. [ DRDO TDF Deep-Tech Cryogenic Project Overview ]Entity / ProgramTechnical & Cryogenic TargetsStrategic & Policy Context• DRDO & Zero mK India• TDF Scheme Grant• Mentorship: SSPL Delhi• Operating Temp: 20 mK (0.02 K)• Sub-kelvin 3He/4He dilution circulation• Scalable QPU testing & packaging stage• National Alignment: National Quantum Mission• Fund: ₹500-Crore TDF Deep-Tech Corpus• Reduces import dependency on Western cryo vendor systems Aligning with India’s National Quantum Mission (NQM), the project mitigates sovereign import vulnerabilities for specialized cryogenic equipment. By developing indigenous sub-kelvin refrigeration capabilities, the initiative supports domestic research laboratories, defense communication programs, and commercial quantum hardware developers building sovereign quantum

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Splendor Labs launches blockchain built to withstand quantum attacksquantum-computing

Splendor Labs launches blockchain built to withstand quantum attacks

Splendor Labs SA launched Splendor Quantum Chain on September 25, 2026, establishing the world’s first live Layer-1 blockchain integrating ML-DSA-65 signatures, ML-KEM-768 network security, dual ML-DSA/SLH-DSA verification, and RLNC-based data transport in a single post-quantum architecture. The new network anticipates the evolving threat of quantum computing to digital ownership and transaction security, positioning itself as foundational infrastructure for both decentralized finance and emerging applications in artificial intelligence. “We designed Splendor Quantum Chain around where we believe digital infrastructure is going, not simply where it is today,” said Todor Ivanov, Founder and CEO of Splendor Labs SA, as major institutions like BlackRock, J.P. Morgan, and Fidelity develop initiatives for real-world asset tokenization. This combination places quantum-resistant protection directly into the network’s core functions, covering transaction signing, node communication, verification layers, and data distribution. The architecture’s development used patent-pending technology designed to preemptively address vulnerabilities arising from the anticipated progression of cryptographically relevant quantum computing. This proactive approach differs from strategies that treat post-quantum security as a future upgrade to existing systems. The network’s design also anticipates the increasing intersection of blockchain technology and traditional finance, a convergence driving demand for secure, scalable infrastructure. Institutions including BlackRock, J.P. Morgan, Goldman Sachs, Citi, Franklin Templeton and Fidelity are actively developing initiatives for digital asset tokenization, with a focus on representing real-world assets like real estate, funds, and bonds on blockchain networks. Splendor Quantum Chain provides the foundational infrastructure for these applications, offering programmable assets, native token functionality, and verifiable settlement capabilities, a

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CGI Federal, DLA and UT Knoxville Study Quantum Computing for Logisticsquantum-computing

CGI Federal, DLA and UT Knoxville Study Quantum Computing for Logistics

Insider Brief PRESS RELEASE — CGI Federal Inc. (CGI Federal), a leading provider of technology and professional services for the U.S. government, today announced that it has entered into an agreement with the U.S. Defense Logistics Agency (DLA) and the University of Tennessee, Knoxville (UT) to conduct applied research and development to examine how agentic artificial intelligence […]

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SENKO and PHIX create common interface for photonic modulesquantum-computing

SENKO and PHIX create common interface for photonic modules

Photo: Marketing PHIX · phix.com PHIX Photonics Assembly and SENKO Advanced Components are establishing a standardized, detachable fiber connection for photonic multi-chip modules, a move designed to ease manufacturing challenges and improve long-term serviceability. This collaboration positions PHIX in Enschede, Netherlands, as a European Centre of Excellence for this emerging technology, which supports scaling artificial intelligence infrastructure and high-performance computing. “The industry needs solutions that connect precision assembly, package-level testing, system integration, and long-term serviceability,” says a Vice President at SENKO. By combining PHIX’s packaging expertise with SENKO’s Micro Prism Array technology and 6DoF alignment processes, the companies aim to create a repeatable optical interface throughout a product’s lifecycle. SENKO’s Micro Prism Array & SAM-T Enable Repeatable Optical Interfaces SENKO’s Micro Prism Array technology directly addresses a critical challenge in photonic module manufacturing: maintaining consistent optical performance throughout the product lifecycle. This new architecture utilizes detachable fiber connectivity, a departure from traditional permanently attached interfaces, and allows for repeatable alignment during assembly, package-level validation, and system integration. The system uses SENKO’s SEAT receptacles and SAM-T, or SENKO Alignment Master-Testing, alongside precision 6DoF alignment processes to establish a common optical reference point throughout the supply chain. CB Seldam · Source: phix.com This collaborative effort between SENKO and PHIX Photonics Assembly isn’t simply about improving manufacturing consistency; it’s about enabling future serviceability, the company says. By separating photonic packaging from permanent fiber attachment, the design facilitates inspection, diagnostics, and component replacement without requiring a complete optical assembly redesign. This approach is particularly re

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IEEE conference hears QuantumNet’s plan for quantum vision in transportquantum-computing

IEEE conference hears QuantumNet’s plan for quantum vision in transport

QuantumNet is investigating how Quantum Convolutional Neural Networks (QCNNs) can pinpoint road surface anomalies like cracks and potholes, starting with detailed segmentation masks. The Naples-based startup presented this research at the IEEE International Conference on Intelligent Transportation Systems (ITSC) 2026, held from September 15 to 18. By applying quantum machine learning to computer vision, QuantumNet aims to offer new tools for road infrastructure monitoring and maintenance. The company stated. QCNNs for Road Surface Anomaly Mask Classification The approach moves beyond simple damage detection by beginning with segmentation masks, allowing for precise differentiation between anomalies like cracks and potholes. This focus on image-based precision suggests a move toward detailed infrastructure monitoring, rather than broad assessments of road condition. The company’s presentation on September 17, outlined in the paper “Quantum Convolutional Neural Networks for Road Surface Anomaly Mask Classification,” explores how using quantum-enhanced architectures can classify images relevant to road maintenance. QuantumNet’s work intersects quantum machine learning with computer vision, a combination not widely discussed despite its potential for improving infrastructure management. This research reflects QuantumNet’s broader aim of applying quantum computing to real-world transportation challenges where efficient anomaly detection is important for safety and planning. Founded in 2021 as a collaboration between NetCom Group and the University of Naples Federico II, QuantumNet is Italy’s first innovative startup specializing in quantum computing. The company’s expertise spans big data, IoT, optimisation, quantum machine learning, and cybersecurity, alongside its Quantum Computing Academy, which provides training in the field, QuantumNet says. Presenting at ITSC 2026 provided a platform for direct engagement with the international research community, allowing the team

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