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quantum-computingImperial College London And HSBC Uses Quantum Sampling for Asset Trading
HSBC Holdings Plc. is applying a highly experimental form of quantum computing, Gaussian Boson Sampling, to the complex problem of asset clustering within statistical arbitrage portfolios. Researchers at the Blackett Laboratory and Centre for Quantum Engineering, Science and Technology (QuEST) at Imperial College London collaborated with HSBC to map data and benchmark algorithms. Simulations reveal that quantum clustering generates superior alpha during periods of high volatility, effectively isolating structural market idiosyncrasies, and establishing a quantum foundation for broader quantitative finance applications. This application, detailed in recent research, focuses on a specific, high-frequency trading strategy, seeking to exploit subtle price discrepancies within existing holdings rather than attempting broad market prediction. Gaussian Boson Sampling helps identify co-moving assets. Researchers addressed a key challenge in GBS implementation, photon loss, by applying “coherent displacement to compensate for photon loss.” The pursuit of quantum advantage is increasingly focused on heuristic approaches, particularly within specialized applications where demonstrable speedups don’t require fully fault-tolerant quantum computers. Researchers are investigating the application of Gaussian Boson Sampling (GBS) as a tool for identifying dense subgraphs, a capability with immediate relevance to financial modeling. The team mapped S&P 500 residual correlation data into adjacency matrices suitable for GBS, then benchmarked quantum clustering algorithms, GBS Boost and a novel method called GBS Roots, against established classical techniques like Spectral and SPONGE. Crucially, the researchers addressed a key challenge in photonic quantum computing: photon loss, by applying coherent displacement to compensate for photon loss. This resilience is significant, as it suggests GBS-derived solutions can remain viable even with imperfect hardware. The study highlights tha
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quantum-computingImproved Cumulants Yield Reliable Bond-Breaking Calculations
Valerii Chuiko and colleagues from McMaster University and Donostia International Physics Center (DIPC), have developed a refined reduced density matrix functional that significantly improves the simulation of chemical bond breaking in strongly correlated molecular systems. The researchers corrected the cumulant contribution within the PNOF5 functional to ensure physically accurate fragment population covariance and total spin angular momentum at the point of molecular dissociation. This refinement enables highly accurate descriptions of bond breaking in nitrogen, nitric oxide, oxygen, sulfur, and carbon monoxide, with calculated dissociation energies matching those obtained using the complete active space self-consistent field (CASSCF) method. By incorporating P, Q, and G N-representability conditions to purify the reduced density matrices, the work provides a more reliable framework for studying challenging chemical processes. Accurately simulating the breaking of chemical bonds remains one of the most demanding problems in quantum chemistry because electrons become strongly correlated as atoms separate. While reduced density matrix functional theory offers a computationally efficient alternative to conventional wavefunction-based methods, existing functionals often struggle to reproduce key physical properties during dissociation. The researchers addressed this limitation by modifying the cumulant term in the PNOF5 functional, allowing it to preserve physically meaningful fragment population covariance, also known as the delocalization index, together with the correct total spin angular momentum throughout the bond-breaking process. The improved functional was tested on several benchmark diatomic molecules, including nitrogen, nitric oxide, oxygen, sulfur, and carbon monoxide. Across these systems, the calculated dissociation curves closely matched reference CASSCF results, demonstrating that the refined approach accurately captures the electronic structure
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quantum-computingWhy Alphabet Stock Popped Today
Alphabet (GOOG +4.55%) (GOOGL +5.03%) stock jumped 5.1% through 12:55 p.m. ET Monday after analysts at Morgan Stanley reassured investors about the company's prospects amid record levels of investment in AI infrastructure. Image source: Alphabet. Alphabet Q2 earnings Alphabet reported strong earnings last week, beating expectations with profits of $9.11 per share -- triple what analysts expected. Surprisingly, Alphabet stock sold off after the report and, in fact, continued to trade below its pre-earnings price all the way through Friday. Earnings beat notwithstanding, investors were spooked by Alphabet's announcement that it was doubling down on AI spending and raising its forecast for capital investment this year to a mind-bending $195 billion to $205 billion. ExpandNASDAQ: GOOGAlphabetToday's Change(4.55%) $16.22Current Price$372.87Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$4.4TMarket 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 Range$363.26 - $376.1052wk Range$190.92 - $404.47Volume17.5MAvg Vol22.3MGross Margin60.94%Dividend Yield0.24% What Morgan Stanley said about Alphabet's spending But according to Morgan Stanley -- that's OK. All four of the big AI hyperscalers are spending gobs of money on AI investment. Amazon (AMZN +4.06%) is spending even more than Alphabet -- $220 billion from $200 billion -- while Meta (META +6.18%) has a $130 billion to $145 billion budget, and Microsoft (MSFT +5.38%) is spending about $190 billion. Total cloud capital expenditure in 2027 could exceed $1.2 trillion this year, says MS. But all this investment is driving huge cloud revenue growth, with Google Cloud Platform growing 82% year over year. The best news, says the analyst, is that "strong operating cash flow, equity and debt financing, leasing strategies, custom chips, and infrastructure efficiencies are helping fund capex while easing fr
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quantum-computingCollective Electronic Entanglement Scales With O(1) Response
Vivek Yadav and colleagues from Israel Institute of Technology have demonstrated a surprising result that challenges established limits in quantum entanglement, achieving a collective electronic response that does not diminish with increasing molecular complexity. The researchers report a violation of the expected scaling of one over N in N-molecule collective strong coupling, meaning the efficiency of their system remains constant even as more molecules are added. This feat was accomplished through infrared cavity-induced vibronic transduction, a mechanism translating non-local vibrational entanglement into collective electronic entanglement. The study potentially enables room-temperature quantum technologies by overcoming a major hurdle to scalability and offers a scalable framework for coherent control of chemical reactions and advances the development of practical quantum systems. Vibronic Transduction Overcomes Ensemble Dilution Scaling The expectation that collective responses diminish with increasing molecular complexity has been challenged by new findings in vibronic transduction. Vivek Yadav and colleagues report a surprising observation: localized electronic responses scale as O(1), defying the predicted scaling of one over N typically seen in N-molecule collective strong coupling scenarios. This scale-invariance, achieved through infrared cavity-induced vibrational strong coupling, points to a process where non-local vibrational entanglement is directly converted into collective electronic entanglement. The researchers utilized fluorescence-encoded infrared spectroscopy to observe this phenomenon in molecular ensembles, demonstrating macroscopically synchronized electronic responses. The authors write that by demonstrating the generation of macroscopically entangled electronic states from vibro-polaritons without a penalty related to one over N, this work establishes a scalable framework for manipulating quantum states. This advancement is particularly si
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quantum-computingQuantum Complexity-Deformed Transport Solves Bell-State Preparation Exactly
Alberto Acevedo and Antonio Falcó of Universidad CEU Cardenal Herrera have demonstrated a new approach to quantum state preparation by altering the mathematical framework defining how states evolve. Their work deforms existing noncommutative dynamical optimal transport using what they term an “Arnold–Nielsen type complexity operator,” a concept absorbed directly into the underlying differential calculus rather than added as a penalty. This geometric shift yields an exact Bell-state preparation result, achieved through Clairaut’s relation, and an exactly computed restricted-path upper bound for GHZ preparation. The researchers prove the existence of minimizers for density-dependent Petz-class metrics in finite dimensions, even when complexity weights and state-dependent mobility do not commute. Their work identifies a new approach to constructing Wasserstein-type geometries on von Neumann algebraic state spaces and on unitary orbits, with quotient metrics induced by right-invariant complexity geometries on compact Lie groups. The researchers highlight a guiding principle: complexity changes the differential structure, impacting the dynamics of quantum systems. This geometric approach contrasts with static quantizations of the Wasserstein distance, which lack a continuity equation specific to this dynamical route; the Lindblad detailed-balance case is included only as entropy-gradient-flow background. A key finding detailed in the work is that when the resulting quadratic form remains Dirichlet, the complexity-weighted transport problem becomes equivalent to its unweighted counterpart. On unitary orbits, the induced distance is identified as a quotient metric arising from a right-invariant complexity geometry. This means complexity fundamentally reshapes the differential calculus that defines it, rather than simply being added to the calculation. This equivalence unlocks new possibilities for analyzing quantum dynamics, particularly in finite dimensions where they’ve
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quantum-computingResearchers Build First Fully Connected Quantum Network with Microcombs
Researchers in China have built a large-scale fully connected quantum network, meaning every user can connect to every other user simultaneously, overcoming a major scalability challenge in quantum communication. The network spans over 200 kilometers and supports 200 users while guaranteeing user-to-user security even with an untrusted network provider. This large-scale system utilizes integrated soliton microcombs to achieve precise frequency generation and locking, enabling high-visibility Hong-Ou-Mandel interferences and measurement-device-independent quantum key distribution. The implemented architecture, the researchers state, “paves the way for realizing large-scale fully connected MDI quantum networks across metropolitan and intercity regions.” Microcomb-Driven Fully Connected Network Architecture This architecture, detailed in recent findings, departs from traditional point-to-point quantum key distribution by enabling a system where each of the 200 users can establish a secure connection with any other user within the network without relying on a trusted intermediary. This eliminates a key vulnerability present in earlier designs and has substantial implications for secure communication. Central to this advancement is the utilization of ‘microcombs’, a relatively new technology in optical physics, to achieve this connectivity, offering a potentially more stable and scalable approach than previous methods. Some of the authors are affiliated with the Xi’an Institute of Optics and Precision Mechanics. These microcombs, specifically soliton microcombs (SMCs), function as compact frequency sources capable of generating hundreds of parallel frequency channels. The researchers demonstrate that by locking the seed laser frequency and repetition rate, massive parallel Hong-Ou-Mandel (HOM) interferences can be achieved between independent SMC chips. This eliminates the need for complex, wavelength-specific laser locking across the entire network, a significant hurdle
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quantum-computingPsiQuantum Invests $250,000 in South Chicago STEM and Quantum Education Programs
Insider Brief Press release – Today, PsiQuantum announced a $250,000 philanthropic investment in local schools, higher education institutions, and STEM programs to advance the next generation of scientists, engineers, and quantum innovators in South Chicago. As the anchor tenant of the Illinois Quantum and Microelectronics Park (IQMP), PsiQuantum is committed to ensuring young people in […]
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quantum-computingRigetti, HPE, and Pittsburgh Supercomputing Center Partner to Build “TangleLab” Hybrid Testbed
Rigetti, HPE, and Pittsburgh Supercomputing Center Partner to Build “TangleLab” Hybrid Testbed Quantum computing developer Rigetti Computing (Nasdaq: RGTI) has partnered with Hewlett Packard Enterprise (HPE) and the Pittsburgh Supercomputing Center (PSC)—a joint center of Carnegie Mellon University and the University of Pittsburgh—to construct TangleLab, a hybrid quantum-classical supercomputing testbed. Funded by a $5 million grant from the National Science Foundation (NSF) under its Advanced Computing Systems & Services program (Award #2537076), the facility will integrate a 9-qubit Novera™ quantum computing system with classical High-Performance Computing (HPC) and graphics processing unit (GPU) infrastructure. TangleLab expands upon Rigetti and HPE’s ongoing commercial collaboration to build quantum-enabled HPC systems. Designed to operate at PSC’s new data center, the testbed will leverage the gate speeds intrinsic to superconducting qubits (50–70 nanoseconds) to benchmark low-latency hybrid quantum-classical workflows, compiling routines, and workload orchestration across scientific research and AI applications. [ TangleLab Hybrid Architecture Stack ] │ ┌──────────────────────────────────┴──────────────────────────────────┐ ▼ ▼ Classical HPC & GPU Cluster Rigetti 9-Qubit Novera QPU • HPE High-Performance Computing Nodes. • Ankaa-Class Superconducting Architecture. • Advanced Networking & Workload Management. • 50-70ns Gate Execution Speed. • Real-Time Proposals & Hands-On Workshops. • On-Premises Cryogenic & Control Integration. Under PSC’s management, access to TangleLab will be allocated through a competitive proposal process balancing dedicated runtime for individual research projects with real-time access for university courses and educational workshops. To assist non-specialist users, the center will offer dedicated consulting, training, and onboarding programs. Construction at PSC’s new data center is scheduled to begin on September 1
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quantum-computingJIJ Turns Qamomile From Optimizer Into Full Quantum Language
JIJ Inc. has expanded its open-source Qamomile project beyond quantum optimization to a full, general-purpose quantum programming language with the release of version 0.14.0. The updated Qamomile combines Python syntax with built-in quantum algorithms, allowing developers to write type-safe programs using a familiar language and algebraically calculate quantum resource requirements directly from a program’s source code. Programs can be transpiled to multiple quantum software development kits including CUDA-Q and Qiskit, streamlining the path from algorithm design to execution on available quantum hardware as researchers increasingly test algorithms on real devices. JIJ reports Qamomile aims to reduce implementation complexity and make quantum computing application development more accessible. Qamomile v0.14.0: Python-Based Platform for Quantum Algorithm Development Qamomile v0.14.0 algebraically calculates quantum resource requirements directly from a program’s source code, a capability JIJ Inc. asserts will accelerate the development of practical quantum applications. Developers can now utilize a type-safe environment built on familiar Python syntax to construct quantum programs, streamlining a process previously hampered by implementation complexity. Qamomile’s ability to estimate qubit and quantum gate counts is particularly significant as researchers increasingly focus on testing algorithms on available quantum devices and exploring fault-tolerant computing. The platform’s resource estimation feature allows users to assess how problem size impacts computational demands, enabling them to determine the feasibility of algorithms on both current and future hardware. This functionality moves beyond simple simulation, providing a crucial link between theoretical design and practical limitations, and the inclusion of built-in quantum algorithms and subroutines further enhances developer productivity. Version 0.14.0 specifically adds quantum singular value transformatio
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quantum-computingHow ICFO Engineers Control Motion at Quantum Limit
Researchers at ICFO, Institut de Ciències Fotòniques in Barcelona and Universite de Bordeaux, University of Chicago and Argonne National Laboratory have achieved control of motion at the zero-point motion scale, manipulating movement at the fundamental limit imposed by quantum mechanics. The team, led by C. B. Møller and R. Tormo-Queralt, demonstrated tunable nonlinear electromechanics by coupling a nanotube mechanical oscillator with a double-quantum-dot electronic two-level system, enabling a mechanical Kerr nonlinearity at this previously theoretical scale. This work yields a mechanical anharmonicity three orders of magnitude larger than in previous work while preserving the predominantly mechanical nature of the lowest energy states. The results establish a tunable platform for strong mechanical anharmonicity and nonlinear continuous readout at the zero-point motion scale. Researchers have demonstrated control of mechanical motion at the zero-point motion scale, a capability realized through tunable nonlinear electromechanics within a carbon nanotube device. This advance, detailed in a recent publication, relies on ultrastrong coupling between the nanotube, acting as a mechanical oscillator, and a double-quantum-dot electronic two-level system. This work yields a mechanical anharmonicity three orders of magnitude larger than in previous work, a substantial increase crucial for accessing nonlinear mechanics at extremely small amplitudes and opening possibilities for precise control and readout of nanomechanical systems. The system’s design incorporates a suspended carbon nanotube hosting a double-quantum dot, tuned to create a tunable electronic two-level system. Researchers led by C. B. Møller and R. Tormo-Queralt demonstrated a purely quadratic cavity-based continuous readout of the mechanical motion, enabled by a double-quantum dot symmetry that can be broken via gate tuning to introduce a large linear transduction. As they explain, “The purely quadratic depen
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quantum-computingUC Berkeley and QuantrolOx Sign Five-Year Partnership to Industrialize Quantum Processing
UC Berkeley and QuantrolOx Sign Five-Year Partnership to Industrialize Quantum Processing The University of California, Berkeley—on behalf of its Department of Physics and the Roger Herst Quantum Nexus—has signed a five-year Memorandum of Understanding (MOU) with quantum automation developer QuantrolOx to advance the industrialization of superconducting quantum computing. Effective July 7, 2026, the non-binding framework combines UC Berkeley’s open, “white-box” superconducting qubit hardware testbeds with QuantrolOx’s machine-learning-driven Quantum EDGE software suite to transition quantum hardware operations from manual laboratory experiments to automated, reproducible workflows. Led by UC Berkeley Physics Professor Irfan Siddiqi and QuantrolOx CEO Vishal Chatrath, the collaboration will use the Roger Herst Quantum Nexus as a shared innovation space for researchers and industry engineers. The joint initiative targets critical operational bottlenecks across the quantum device lifecycle, focusing on five primary technical and educational domains: End-to-End Workflow Automation: Integrating materials research, quantum Process Design Kits (PDKs), Electronic Design Automation (EDA), QPU packaging, quality assurance, and failure analysis into a unified data architecture powered by machine learning and agentic AI. Integrated Quantum Control Architecture: Optimizing low-latency instrument interconnects, cryogenic control electronics, crosstalk compensation, and parallelized pulse execution across scaling processors. Physics-Aware AI Calibration: Applying autonomous AI systems to accelerate high-precision qubit characterization, tune-up, and real-time operational calibration. Workforce Development: Scaling experimental training programs for hardware engineers using QuantrolOx’s Quantum EDGE Academy and VIDYAQAR open-architecture test platforms. Scientific Community Convenings: Hosting joint seminars, technical workshops, and reciprocal researcher visits within the Roger He
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quantum-computingAnchorage Digital Outlines Post-Quantum Migration Strategy for Institutional Assets
Anchorage Digital Outlines Post-Quantum Migration Strategy for Institutional Assets Federally chartered crypto bank Anchorage Digital has unveiled its post-quantum compute (PQC) preparedness strategy, establishing an operational blueprint to safeguard digital asset holdings against emerging quantum decryption threats. Recognizing that quantum algorithms such as Shor’s algorithm pose a direct threat to public-key digital signatures, the firm has deployed a multi-layered security infrastructure designed to neutralize “harvest now, decrypt later” adversary models. To secure client holdings at rest and in transit, Anchorage Digital has integrated three foundational cryptographic safeguards: Hash-Based Bitcoin Address Conventions: Utilizing hash-based address models that prevent public key exposure prior to transaction execution, keeping dormant Bitcoin holdings quantum-safe at rest. Quantum-Resistant TLS: Deploying hybrid post-quantum key encapsulation across internal enterprise systems and managed ChromeOS workforce devices to shield transport-layer traffic from interception. Agile HSM Architecture: Integrating post-quantum algorithms into its Hardware Security Module (HSM) architecture, enabling firmware updates to adopt new NIST-finalized signature standards without requiring system overhauls. In parallel with infrastructure deployment, Anchorage Digital published original cryptographic research to address systemic migration challenges across public blockchains. The firm introduced the Post-Quantum Turnstile, a zero-knowledge framework utilizing STARKs that allows legacy credential holders—covering an estimated two-thirds of circulating Bitcoin—to transition signing authority to post-quantum keys without exposing private or public key material. Additionally, the company open-sourced sqisign-rs, a Rust implementation of the SQIsign signature scheme based on supersingular elliptic curve isogenies, offering a compact signature footprint roughly seven times smaller than
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