Quantum Materials & Devices: Hardware Components & Fabrication
Quantum materials news: quantum device fabrication, superconductors, quantum dots, 2D materials. Quantum hardware components & substrates.
Quantum materials and devices form the foundational hardware layer enabling all quantum technologies, requiring specialized materials with precise quantum properties including superconductors, topological insulators, 2D materials like graphene, and semiconductor heterostructures for qubit fabrication.
India's Quantum Materials and Devices Initiatives
India's National Quantum Mission includes Quantum Materials & Devices as the fourth thematic vertical with dedicated funding. The QMD Tech Foundation at IIT Delhi serves as the Thematic Hub on Quantum Materials and Devices, established under the T-Hub framework of NQM. The hub focuses on developing indigenous materials for quantum technologies including substrates for superconducting circuits, quantum dots for spin qubits, and specialized semiconductors.
The ₹720 crore investment for quantum fabrication facilities announced in November 2025 supports this vertical, with facilities at: IISc Bengaluru: Quantum computing fabrication for superconducting, photonic, and spin qubits (3-5 qubits per chip initially, scaling to 20-100 qubits); IIT Bombay: Quantum sensing and device fabrication; IIT Delhi: Quantum materials and packaging; IIT Kanpur: Smaller facility for specialized devices.
The Indian Institute of Technology Madras Centre for Quantum Information, Communication and Computing (CQuICC) houses India's first remotely accessible semiconductor qubit facility, capable of fabricating 3-5 qubit chips per run with 95% device yield.
Research Areas: Superconducting materials: Niobium and aluminum thin films for Josephson junctions; Semiconductor quantum dots: Silicon and III-V materials for spin qubits; 2D materials: Graphene, transition metal dichalcogenides for novel qubit designs; Topological materials: Research into materials exhibiting Majorana zero modes; Photonic materials: Silicon photonics, nonlinear optical crystals for quantum light sources.
The Defence Research and Development Organisation (DRDO) develops quantum materials for defense applications including secure communications and sensing. The Department of Atomic Energy (RRCAT, Indore) provides specialized laser and materials processing capabilities for quantum device fabrication. The NQM targets developing superconductors, novel semiconductor structures, and quantum materials for memory and device fabrication as key deliverables within the 8-year mission timeline.
Pasqal Achieves First Logical Qubit Solution For Real Problems
Pasqal has, for the first time, solved differential equations using quantum kernels at the logical qubit level, a crucial step beyond simply demonstrating the functionality of physical qubits. Utilizing two logical qubits on its neutral atom processor, the Pasqal team achieved a complete end-to-end application, marking the first time that hardware has demonstrated logical computations. The selection of differential equations was deliberate; these foundational calculations underpin numerous scientific and engineering disciplines, signaling a path toward practical quantum applications extending beyond typical early applications. “What surprised us during this project is that our logical qubits turned out to be naturally resistant to certain types of noise that typically make solving differential equations harder,” said Pascal Scholl, Adrien Signoles, and Lucia Garbini, associated with the work, demonstrating a versatility as the same Pasqal processor previously showcased analog computing capabilities. End-to-End Application of Logical Qubits on Neutral Atoms The Pasqal team has moved beyond theoretical exercises and solved a practical problem using logical qubits, a significant step toward fault-tolerant quantum computing. Researchers associated with Pasqal have successfully used two logical qubits on their neutral atom processor to fully solve differential equations, demonstrating a capability previously confined to experimentation with physical qubits. This validates a critical milestone: logical qubits can tackle real problems beyond theoretical building blocks. The team chose differential equations for two key reasons, due to their broad relevance across numerous scientific and engineering fields; these equations model phenomena ranging from aerospace simulations to pharmaceutical kinetics and financial risk assessment, representing computationally intensive tasks industries are actively seeking solutions for. The researchers explain that solving differential equa
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quantum-computingSpinQ Technology Secures Nearly 1 Billion Yuan in Series C Funding
SpinQ Technology has secured nearly 1 billion Chinese Yuan in Series C funding, with a recent 600 million Yuan investment arriving in a single round and increasing the company’s total funding within three months. The financing was led by a consortium of industrial and state-owned entities, Guotai Junan Innovation Investment, Cornerstone Capital, and Sichuan Zhenxing Group, indicating national support for advancing quantum computing from research into practical applications. SpinQ is one of the few companies globally to have mastered both Superconducting and Nuclear Magnetic Resonance (NMR) quantum technology routes, offering a diversified approach to quantum hardware development. “To transition quantum technology from the lab to real-world industrial impact, we must deploy powerful, programmable, and scalable systems,” said Dr. Jingen Xiang, Founder and CEO of SpinQ, as the company aims to expand production of its superconducting quantum chips and systems. Series C Funding Fuels Superconducting Quantum Chip Research and Development This rapid capital influx differentiates SpinQ from many competitors still reliant on earlier-stage venture funding, and suggests alignment with long-term industrial goals. Glacier Capital facilitated the deal as a strategic financial advisor, highlighting the scale and complexity of the funding arrangement. The newly acquired capital will be directed primarily toward research and development of high-qubit superconducting quantum chips, alongside expansion of standardized production lines for its flagship hardware. SpinQ’s integrated ecosystem includes industrial-grade superconducting systems like the Ursa Major computer, high-fidelity quantum chips, educational NMR devices, and the SpinQit software and cloud platform, all designed to lower barriers to entry for developers and researchers. The company has established a global presence, with solutions deployed in over 200 institutions spanning more than 40 countries, including the United S
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quantum-computingQolab, IQCC Launch John Martinis Grants for Superconducting Qubit Research
Insider Brief Qolab and IQCC have launched the John Martinis Grants to support experimental research and education in superconducting qubit physics following the 2025 Nobel Prize in Physics. The program offers research grants with processor access, a $5,000 stipend, and conference participation for advancing superconducting device control, alongside educator grants providing similar resources for classroom instruction. For 2026, two research grants and one educator grant will be awarded, with applications open from March 15 to June 15 and recipients selected by John Martinis and announced publicly in October. PRESS RELEASE — In honor of the 2025 Nobel Prize in Physics, Qolab and IQCC are proud to announce the John Martinis Grants for Experimental Superconducting Device Physics. The goal of the program is to provide research and training resources to the next generation of experimental physicists working on superconducting qubits. The first category of grants is open to researchers at academic institutions or national laboratories who are looking to advance the state of the art in superconducting device control, including characterization, calibration, and the design of novel multi-qubit gates using pulse-level control. Research grant awardees will receive up to 20 hours on Qolab’s latest processors hosted at IQCC, a $5,000 stipend from IQCC, and a ticket to the Adaptive Quantum Circuits (AQC) Conference. The second category of grants is open to educators who want to provide hands-on experience to the next generation of students through undergraduate or master’s-level courses in superconducting qubit control. Educator grant awardees will receive up to 10 hours of access to the quantum computer for classroom use, a $5,000 stipend from IQCC, and a ticket to the AQC Conference. Individuals may apply for both research and educator grants. For 2026, two research grants and one educator grant will be awarded. Grant recipients will be selected by John Martinis. Applications
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quantum-computingThe Best Quantum Computing Stocks to Buy Today
By Keithen Drury – Apr 10, 2026 at 2:23PM ESTKey PointsPure play IonQ holds the world record for the most accurate quantum computing.Microsoft and Alphabet serve as excellent legacy quantum investing alternatives. Quantum computing may seem like a far-fetched technology, but the reality is that it's rapidly progressing to the point where it's starting to become useful in many applications. These investors should position themselves accordingly, as quantum computing could have a huge upside if investors pick the right stocks. I've got three stocks that I think are best positioned for quantum computing success. Investors should maintain some exposure to these stocks in case their breakthroughs cause them to go parabolic. Image source: Getty Images. IonQ IonQ (IONQ +2.03%) is one of the leaders of the quantum computing race. Its leadership status comes from its world-record holding system, which delivered 99.99% fidelity in a common test that quantum computing companies use to test accuracy. This is a huge deal, because the primary reason why we don't see more widespread quantum computing is its relative inaccuracy. IonQ believes that the 99.99% threshold is good enough for the company to start scaling its device to have millions of qubits by 2030. For reference, it plans to implement this technology to build a 256-qubit system this year. Should IonQ develop an accurate quantum computing system with millions of qubits by 2030, it could take the world by storm and be one of the top-performing quantum computing stocks, especially in applications where perfect accuracy is critical. ExpandNYSE: IONQIonQToday's Change(2.03%) $0.57Current Price$28.65Key Data PointsMarket Cap$10BDay's Range$28.14 - $29.3752wk Range$23.48 - $84.64Volume465KAvg Vol21MGross Margin-2267.11% However, the reason why IonQ has achieved this incredible accuracy figure is the architecture it's designing its computer around. It's using a technology called trapped ion, which trades accuracy for speed. Th
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quantum-computingQuantum Computing Weekly Round-Up: Week Ending April 11, 2026
This week’s Quantum Computing Weekly Round-Up highlights real hardware deployments, accelerating post-quantum security efforts, and growing geopolitical competition. The industry is transitioning from lab experiments to operational systems. Momentum is building across every layer of the stack. The post Quantum Computing Weekly Round-Up: Week Ending April 11, 2026 appeared first on The Qubit Report.
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quantum-computingRigetti’s New 108-Qubit Quantum System Might Change The Case For Investing In Rigetti Computing (RGTI) - simplywall.st
Rigetti’s New 108-Qubit Quantum System Might Change The Case For Investing In Rigetti Computing (RGTI) simplywall.st
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quantum-computingInfleqtion: Quantum Hype Meets Real Business
Yiannis Zourmpanos15.32K FollowersFollow5ShareSavePlay(10min)Comments(4)SummaryInfleqtion generated $32.5 million in revenue in FY2025, growing roughly 3x since 2023, driven primarily by sensing and timing products.Around two-thirds of revenue comes from sensing applications like atomic clocks and RF systems, with computing contributing the remaining portion.The company raised $516 million in 2026, significantly strengthening its balance sheet and reducing near-term dilution and survival risks.Infleqtion currently operates 1,600 physical qubits and 12 logical qubits, targeting 100+ logical qubits by the 2028 commercialization stage.Total addressable markets exceed $160 billion across computing and sensing, where even sub-0.1% penetration implies $100–150 million revenue potential. Just_Super/iStock via Getty Images Investment Thesis The market still treats Infleqtion, Inc. (INFQ) as a distant quantum computing bet. I think that misses the real opportunity. This is an already profitable company developing essential technology in an era where everythingThis article was written byYiannis Zourmpanos15.32K FollowersFollowHi, I'm Yiannis. Spotting winners before they break out is what I do best.Experience: Previously worked at Deloitte and KPMG in external/internal auditing and consulting. Education: Chartered Certified Accountant, Fellow Member of ACCA Global, with BSc and MSc degrees from U.K. business schools. Investment Style: Spotting high-potential winners before they break out, focusing on asymmetric opportunities (with at least upside potential of 3-5X outweighing the downside risk). By leveraging market inefficiencies and contrarian insights, we seek to maximize long-term compounding while protecting against capital impairment.Risk management is paramount—we seek a strong margin of safety to protect against capital impairment while maximizing long-term compounding. Our 2-3 year investment horizon allows us to ride out volatility, ensuring that patience, disciplin
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quantum-computingIQM Establishes First U.S. Quantum Technology Center in Maryland’s Discovery District
IQM Establishes First U.S. Quantum Technology Center in Maryland’s Discovery District IQM Quantum Computers has announced the opening of its first U.S. Quantum Technology Center, located within the University of Maryland’s Discovery District in College Park. The move is a strategic expansion into the North American market, placing the company within the Capital of Quantum (CoQ) initiative—a $1 billion public-private partnership designed to accelerate the regional quantum economy. By establishing this hub, IQM intends to interface directly with the federal research community, including the National Institute of Standards and Technology (NIST), NASA Goddard, and the Army Research Laboratory (DEVCOM). The new center is designed to function as a collaborative workspace for local startups, academic institutions, and federal partners. A primary focus of the facility will be the integration of superconducting quantum processors with High-Performance Computing (HPC) service providers. IQM plans to leverage Maryland’s talent pipeline, which features a high concentration of quantum scientists, to build local engineering teams. This presence in College Park is intended to support the commercialization of advanced quantum hardware and software while aligning with U.S. national policies on quantum information science. Maryland’s Discovery District currently hosts over 60 companies and federal agencies, forming a dense cluster of specialized infrastructure. The addition of IQM’s technology center supports the state’s five-year roadmap to drive innovation and knowledge generation in the sector. Through this facility, IQM aims to provide its full-stack superconducting systems and cloud platform to American research laboratories and enterprises, further diversifying the technical modalities available within the regional quantum ecosystem. For the official press release regarding the U.S. expansion, visit the IQM newsroom here. April 10, 2026 Mohamed Abdel-Kareem2026-04-10T07:36:40-0
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quantum-computingPasqal and True Nexus Partner to Optimize Alternative Protein Design via Quantum Computing
Pasqal and True Nexus Partner to Optimize Alternative Protein Design via Quantum Computing Pasqal and Saudi-based computational intelligence firm True Nexus (a branch of AI Bobby) have entered a strategic partnership to apply neutral-atom quantum computing to the study of protein functionality. The initiative focuses on addressing technical barriers in the alternative protein industry, specifically the difficulty of predicting how proteins behave—including gelation and texture—within complex food systems. This collaboration follows Pasqal’s announced intent to go public via a business combination with Bleichroeder Acquisition Corp. II (Nasdaq: BBCQ). The primary objective of the partnership is the development of a vectorized, dynamic 3D model of protein gelation. This model is designed to integrate variables such as molecular structure, extraction parameters, and environmental processing conditions. By utilizing neutral-atom quantum processors, the companies aim to simulate molecular interactions and variables with higher precision than is currently achievable through classical computational methods. The project seeks to transition alternative protein development from empirical trial-and-error toward a design-driven methodology. The long-term goal of the collaboration is to establish a reference model for protein functionality to assist ingredient companies in seed development, crop optimization, and precision fermentation. By improving the predictability of protein behavior, the companies aim to address the functionality gap between animal-based and alternative proteins. This model is intended to serve as a technical guide for the food industry to achieve consistent texture and performance in sustainable protein products. For the technical announcement regarding the partnership and protein modeling objectives, consult the Pasqal newsroom here. April 10, 2026 Mohamed Abdel-Kareem2026-04-10T06:15:37-07:00 Leave A Comment Cancel replyComment Type in the text displayed
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quantum-computingQuantrolOx and RAQS Quantum Partner to Scale Automation and Workforce Development in Asia Pacific
QuantrolOx and RAQS Quantum Partner to Scale Automation and Workforce Development in Asia Pacific QuantrolOx, a developer of measurement and automation platforms for quantum hardware, has partnered with Singapore-based RAQS Quantum to bring its Quantum EDGE platform and Quantum EDGE Academy to the Asia Pacific region. Announced at GITEX Asia 2026, the collaboration addresses the industry-wide bottleneck of manual control and calibration by providing research institutions, national initiatives, and enterprise R&D teams with automated workflows. RAQS Quantum will lead regional integration and commercial deployment, with activities expected to begin in the second half of 2026. The partnership focuses on the control and automation layer of the quantum stack, positioning QuantrolOx’s hardware-agnostic solutions between the QPU and control electronics. By unifying measurement and data management, the Quantum EDGE platform allows for the creation of open-architecture testbeds, reducing the reliance on specialized manual intervention. This shift is intended to improve the operational reliability and performance of quantum processors as they move from isolated laboratory experiments toward scalable, real-world applications within the region’s emerging quantum infrastructure. Beyond hardware automation, the collaboration emphasizes quantum workforce development through the Quantum EDGE Academy. As governments across the Asia Pacific region increase investment in domestic quantum engineering capabilities, the academy provides a training environment designed to upskill local talent. By combining state-of-the-art automation tools with specialized education, the initiative aims to support national upskilling strategies and accelerate the experimental workflows necessary for the region to maintain a competitive position in the global quantum landscape. For the complete technical announcement regarding the Asia Pacific expansion, consult the official QuantrolOx press release he
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quantum-computingQ-CTRL Proposes Heterogeneous Architecture to Optimize Fault-Tolerant Resource Requirements
Q-CTRL Proposes Heterogeneous Architecture to Optimize Fault-Tolerant Resource Requirements Overview of Q-NEXUS: a heterogeneous architecture made of specialized functional modules connected through an interconnect bus Q-CTRL has introduced Q-NEXUS, a heterogeneous quantum computing architecture designed to address the physical resource bottlenecks currently limiting large-scale quantum computers. Rather than scaling a single monolithic array of qubits, the Q-NEXUS framework decomposes the system into specialized functional modules: Quantum Processing Units (QPUs) for logic, Quantum Memory (QM) for storage, and Quantum State Factories (QSF) for resource generation. This approach seeks to resolve the “tyranny of numbers”—the unsustainable growth of control wiring and cryogenic load—by centralizing high-speed operations while offloading storage to simplified, high-density tiers. A primary technical insight in the Q-CTRL paper is that qubits in algorithms like RSA-2048 factorization are inactive for approximately 96–97% of all logical clock cycles. In a monolithic design, these idle qubits sit in expensive, actively error-corrected hardware, where they continue to accumulate decoherence and consume system resources. Q-NEXUS addresses this by segregating storage into a hierarchical memory system. This includes Static Transversal Quantum Memory (STQM), which uses ultra-long-coherence substrates like rare-earth ions to store states without active error correction, and Random-Access Quantum Memory (RAQM), which utilizes slower but stable modalities like neutral atoms for long-term storage. The transition from monolithic to heterogeneous organization enables massive gains in computational reliability and efficiency. According to Q-CTRL’s detailed accounting, the Q-NEXUS architecture achieves up to a 551× reduction in algorithmic logical error for specific subroutines and a 138× reduction in physical qubit requirements for fault-tolerant benchmarks. For the factorization of
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A landmark first: Solving Differential Equations with Logical Neutral-Atom Qubits
Home – FTQC – A landmark first: Solving Differential Equations with Logical Neutral-Atom Qubits A landmark first: Solving Differential Equations with Logical Neutral-Atom Qubits FTQC Hardware +End-to-end application with logical qubits+From Building Blocks to Full Applications+Why This Application?+The Results: Logical Qubits Outperform Physical Ones+What’s Next+Stay Tuned Apr 10, 2026 +End-to-end application with logical qubits+From Building Blocks to Full Applications+Why This Application?+The Results: Logical Qubits Outperform Physical Ones+What’s Next+Stay Tuned Authors: Pascal Scholl, Adrien Signoles, Lucia Garbini End-to-end application with logical qubits For the first time, the Pasqal team solved differential equations using quantum kernels at the logical qubit level. In our latest work, we’ve implemented a complete end-to-end application using logical qubits moving beyond testing sub-routines to delivering an actual computational solution. This proof-of-concept used 2 logical qubits on Pasqal’s neutral atom quantum processor. Previously, this same processor demonstrated analog quantum computing capabilities, including applying machine learning to molecular toxicity prediction, and managing financial risk. Now, for the first time, that same hardware has demonstrated logical computations. validates a critical milestone: logical qubits can tackle real problems beyond theoretical building blocks. From Building Blocks to Full Applications Fault-tolerant quantum computing (FTQC) relies on logical qubits that protect against noise: even though errors occur on the underlying physical qubits, the computation remains error-tolerant, delivering correct results. If you’re new to FTQC, our post on understanding fault-tolerant quantum computing breaks down how this approach works and why it’s essential for delivering the full value of quantum computing Until now, FTQC research has focused mostly on sub-routines of c
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quantum-computingSPINS Project Aims for Millions of Stable Semiconductor Qubits
A 50 million euro investment will fuel the SPINS project, a pan-European effort to establish a new research and production environment for semiconductor quantum chips mirroring existing manufacturing processes. The consortium, coordinated by imec and comprised of 25 European organizations including the University of Jyväskylä, will focus on three material platforms, Si/SiGe, Ge/GeSi, and SOI, to create scalable, stable spin qubits. This initiative aims to bolster European sovereignty in quantum technology and ultimately produce chips containing hundreds of millions of stable qubits for future quantum computing applications. Professor Juha Muhonen from the University of Jyväskylä stated that the University of Jyväskylä’s involvement in such an ambitious European project strengthens the position of Finland and the University in the development of quantum technologies and provides a unique link between research laboratories and industrial applications. EU SPINS Project Advances Semiconductor Spin Qubit Development Unlike many quantum computing approaches, SPINS concentrates specifically on semiconductor-based spin qubits, a choice driven by the potential for leveraging established microfabrication techniques and materials. The consortium is not limiting itself to a single material, but instead pursuing development across three distinct platforms: Si/SiGe, Ge/GeSi, and SOI, demonstrating a pragmatic, multi-pronged strategy to address the inherent material science challenges. This collaborative undertaking, officially launched on April 1, 2026, unites 25 European organizations, research and technology organizations, industry partners, and academic groups, coordinated by imec, and aims to solidify Europe’s position in the rapidly evolving field of quantum technology. The project’s scope extends beyond fundamental research, with a clear objective of translating laboratory advancements into industrial-scale production of quantum chips for future computing applications; proj
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quantum-computingClassical Data Limits Quantum Computing’s Broad Impact
Haimeng Zhao is addressing a fundamental hurdle preventing widespread adoption of quantum computing: efficiently integrating classical data into quantum algorithms. Despite advances in experimental capabilities, demonstrating broad societal impact beyond niche areas like quantum materials simulation and cryptanalysis remains a significant challenge, largely due to the difficulty of accessing real-world, classically-generated data in a quantum format, a problem known as the data loading problem. Their new framework, termed quantum oracle sketching, offers a solution by processing data as a continuous stream and applying small quantum rotations to incrementally build an accurate quantum oracle. “We live in an effectively classical world, dammit, and maybe classical computers and AI already suffice for most of our problems,” Zhao playfully suggests, adapting a famous quote from Richard Feynman, highlighting the need to bridge the gap between classical data and quantum processing. Data Loading Bottleneck Hinders Broad Quantum Advantage While quantum computers excel at simulating quantum materials and certain cryptographic tasks, these applications are inherently quantum or possess mathematical structures easily exploited by quantum algorithms; extending this advantage to everyday problems proves far more difficult. The core issue stems from the fact that most modern computation relies on processing vast amounts of noisy, classical data, the very fuel powering the success of machine learning and artificial intelligence. This data, originating from the macroscopic classical world, doesn’t naturally lend itself to the delicate, specialized structures quantum computers require. Imagine attempting to simultaneously read a million movie reviews; the conventional, sequential access of classical computers presents a bottleneck for quantum systems. To address this, Haimeng Zhao has developed a framework called “quantum oracle sketching,” which allows for optimal access to classi
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quantum-computingComputing quantum magic of state vectors
AbstractNon-stabilizerness, also known as “magic,'' quantifies how far a quantum state departs from the stabilizer set. It is a central resource behind quantum advantage and a useful probe of the complexity of quantum many-body states. Yet standard magic quantifiers, such as the stabilizer Rényi entropy (SRE) for qubits and the mana for qutrits, are costly to evaluate numerically, with the computational complexity growing rapidly with the number $N$ of qudits. Here we introduce efficient, numerically exact algorithms that exploit the fast Hadamard transform to compute the SRE for qubits ($d=2$) and the mana for qutrits ($d=3$) for pure states given as state vectors. Our methods compute SRE and mana at cost $O(N d^{2N})$, providing an exponential improvement over the naive $O(d^{3N})$ scaling, with substantial parallelism and straightforward GPU acceleration. We further show how to combine the fast Hadamard transform with Monte Carlo sampling to estimate the SRE of state vectors, and we extend the approach to compute the mana of mixed states. All algorithms are implemented in the open-source Julia package HadaMAG, which provides a high-performance toolbox for computing SRE and mana with built-in support for multithreading, MPI-based distributed parallelism, and GPU acceleration. The package, together with the methods developed in this work, offers a practical route to large-scale numerical studies of magic in quantum many-body systems.Featured image: HadaMAG workflow: a quantum state vector $|\psi\rangle$ with $d^N$ amplitudes is fed through $d^N$ fast Hadamard transforms, i.e., butterfly networks of additions and subtractions, to efficiently extract all $d^{2N}$ Pauli expectation values $\langle P \rangle$, from which measures of quantum magic, the stabilizer Rényi entropy $M_2(|\psi\rangle)$ for qubits ($d=2$) and the mana $\mathcal{M}(|\psi\rangle)$ for qutrits ($d=3$), are obtained.Popular summaryStabilizer states form a special class of quantum states that align
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quantum-computingUniversity of Houston Hosts Quantum Symposium with Industry and IonQ
Insider Brief The University of Houston hosted a quantum symposium with IonQ and industry leaders as part of its Quantum Initiative to align research, workforce development, and industry collaboration. The initiative builds on a statewide effort to advance quantum computing, materials, networks, and workforce development while positioning UH as a regional innovation hub. Speakers highlighted a projected global shortage of quantum talent and emphasized the need for universities to scale education and training to meet industry demand. PRESS RELEASE — As part of its Quantum Initiative, the University of Houston convened global industry leader IonQ, national laboratory partners and energy executives for the symposium, “Powering the Future: Quantum Technologies in the Energy Economy,” advancing its efforts to align research, talent and industry collaboration in quantum technologies. The initiative builds on momentum from the Texas Quantum Summit, a statewide alliance where UH and seven other universities identified four strategic pillars shaping the field: quantum computing, quantum materials and devices, quantum networks and workforce development. UH’s Quantum Initiative aligns its expertise with these statewide and national priorities, positioning the institution as a primary engine for innovation in the region. “The University of Houston has long been recognized for its leadership in energy research and its deep partnerships with industry,” said Claudia Neuhauser, vice president and vice chancellor for research at UH. “As energy systems evolve to incorporate advanced computation, new materials and digital infrastructure, quantum technologies will become part of that future landscape.” Building a Workforce for a Rapidly Expanding Industry Industry leaders at the symposium emphasized the urgency of preparing talent at scale. Industry data from IonQ suggests the global quantum sector could require as many as 850,000 workers within the next decade; however, current projec
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quantum-computingA streamlined quantum algorithm for topological data analysis with exponentially fewer qubits
AbstractTopological invariants of a dataset, such as the number of holes that survive from one length scale to another (persistent Betti numbers) can be used to analyze and classify data in machine learning applications. We present an improved quantum algorithm for computing persistent Betti numbers, and provide an end-to-end complexity analysis. Our approach provides large polynomial time improvements, and an exponential space saving, over existing quantum algorithms. Subject to gap dependencies, our algorithm obtains an almost quintic speedup in the number of datapoints over previously known rigorous classical algorithms for computing the persistent Betti numbers to constant additive error – the salient task for applications. However, we also introduce a quantum-inspired classical power method with provable scaling only quadratically worse than the quantum algorithm. This gives a provable classical algorithm with scaling comparable to existing classical heuristics. We discuss whether quantum algorithms can achieve an exponential speedup for tasks of practical interest, as claimed previously. We conclude that there is currently no evidence for this being the case.► BibTeX data@article{McArdle2026streamlinedquantum, doi = {10.22331/q-2026-04-10-2058}, url = {https://doi.org/10.22331/q-2026-04-10-2058}, title = {A streamlined quantum algorithm for topological data analysis with exponentially fewer qubits}, author = {McArdle, Sam and Gily{\'{e}}n,, Andr{\'{a}}s and Berta, Mario}, journal = {{Quantum}}, issn = {2521-327X}, publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}}, volume = {10}, pages = {2058}, month = apr, year = {2026} }► References [1] Gunnar Carlsson. Topological methods for data modelling. Nature Reviews Physics, 2 (12): 697–708, 2020. 10.1038/s42254-020-00249-3. https://doi.org/10.1038/s42254-020-00249-3 [2] Vin De Silva and Robert Ghrist. Coverage in sensor networks via persistent homology. Algebra
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quantum-computingObservation of genuine $2+1$D string dynamics in a U$(1)$ lattice gauge theory with a tunable plaquette term on a trapped-ion quantum computer
--> Quantum Physics arXiv:2604.07436 (quant-ph) [Submitted on 8 Apr 2026] Title:Observation of genuine $2+1$D string dynamics in a U$(1)$ lattice gauge theory with a tunable plaquette term on a trapped-ion quantum computer Authors:Rohan Joshi, Yizhuo Tian, Kevin Hemery, N. S. Srivatsa, Jesse J. Osborne, Henrik Dreyer, Enrico Rinaldi, Jad C. Halimeh View a PDF of the paper titled Observation of genuine $2+1$D string dynamics in a U$(1)$ lattice gauge theory with a tunable plaquette term on a trapped-ion quantum computer, by Rohan Joshi and 7 other authors View PDF Abstract:Quantum simulations of high-energy physics in $2+1$D can probe dynamical phenomena nonexistent in one spatial dimension and access regimes that are challenging for existing classical simulation methods. For string dynamics -- relevant to hadronization -- a plaquette term is required to realize genuine $2+1$D behavior, as it endows the gauge field with dynamics and enables the propagation of photon-like excitations. Here, we realize a U$(1)$ quantum link model of quantum electrodynamics in two spatial dimensions with a tunable plaquette term on a \texttt{Quantinuum System Model H2} quantum computer. We implement, to our knowledge, the largest quantum simulation of string-breaking dynamics reported to date, on a $5 \times 4$ matter-site square lattice using $51$ qubits. The simulation uses a shallow circuit design with a two-qubit gate depth of $28$ per Trotter step and up to $1540$ entangling gates. Starting from far-from-equilibrium string configurations, we measure the probability for the string to propagate within the lattice plane and find signatures of genuine $2+1$D dynamics only when the plaquette term is present. In a resonant regime, we observe the annihilation of string segments accompanied by the production of electron--positron pairs that screen them. We further find that, only with a nonzero plaquette term, matter creation extends across the lattice plane rather than remaining confined
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quantum-computingTen-Second Electron-Spin Coherence in Isotopically Engineered Diamond
--> Quantum Physics arXiv:2604.07439 (quant-ph) [Submitted on 8 Apr 2026] Title:Ten-Second Electron-Spin Coherence in Isotopically Engineered Diamond Authors:Takashi Yamamoto, H. Benjamin van Ommen, Kai-Niklas Schymik, Beer de Zoeten, Shinobu Onoda, Seiichi Saiki, Takeshi Ohshima, Hadi Arjmandi-Tash, René Vollmer, Tim H. Taminiau View a PDF of the paper titled Ten-Second Electron-Spin Coherence in Isotopically Engineered Diamond, by Takashi Yamamoto and 8 other authors View PDF HTML (experimental) Abstract:Solid-state spin defects are a promising platform for quantum networks. A key requirement is to combine long ground-state spin-coherence times with a coherent optical transition for spin-photon entanglement. Here, we investigate the spin and optical coherence of single nitrogen-vacancy (NV) centres in (111)-grown isotopically engineered diamond. Our diamond-growth process yields a precisely controlled $^{13}\mathrm{C}$ concentration and low-ppb nitrogen concentrations. Combined with the mitigation of 50 Hz noise using a real-time feedforward scheme and tailored decoupling sequences, this enables record defect-electron-spin coherence times of $T_2 = 6.8(1)$ ms for a Hahn echo and of $T_2^{DD} = 11.2(8)$ s under dynamical decoupling. In addition, we observe coherent optical transitions with a near-lifetime-limited homogeneous linewidth of 16.9(4) MHz and characterize the spectral diffusion dynamics. These results provide new avenues to investigate the incorporation of impurities in diamond and new opportunities for improved spin-qubit control for quantum networks and other quantum technologies. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2604.07439 [quant-ph] (or arXiv:2604.07439v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2604.07439 Focus to learn more arXiv-issued DOI via DataCite Submission history From: H. Benjamin Van Ommen [view email] [v1] Wed, 8 Apr 2026 18:00:01 UTC (1,285 KB) Full-text links: Access Paper: View a PDF
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quantum-computingOperational criteria for quantum advantage in latency-constrained nonlocal games
--> Quantum Physics arXiv:2604.07451 (quant-ph) [Submitted on 8 Apr 2026] Title:Operational criteria for quantum advantage in latency-constrained nonlocal games Authors:Changhao Li, Seigo Kikura, Akihisa Goban, Hayata Yamasaki, Shinichi Sunami View a PDF of the paper titled Operational criteria for quantum advantage in latency-constrained nonlocal games, by Changhao Li and 4 other authors View PDF HTML (experimental) Abstract:Remote entanglement enables coordinated decision making without communication and produces correlations beyond those achievable by any classical strategy, representing a practical quantum advantage in time-critical distributed decision-making problems. However, existing analyses of quantum-classical gaps in such latency-constrained tacit coordination (LCTC) have focused on idealized models that neglect the finite stationary window of the LCTC, finite operation times, and limited entanglement generation rates, leaving fundamental constraints unaccounted for. In this work, we develop a comprehensive framework to quantitatively analyze quantum advantage in LCTC that explicitly incorporates finite-duration and finite-rate operations, as well as generalized utility structures with a limited stationary window. These advances are made possible by adapting statistical certification methods for nonlocal games to the decision-making scenarios of LCTC, identifying operational criteria that must be satisfied by the hardware implementations to realize quantum advantage with sufficient statistical significance. To meet the stringent criteria, we propose time-multiplexed, event-ready operations of cavity-assisted trapped-atom quantum network nodes that provide a continuous stream of entangled qubit pairs, with decision latencies of a microsecond and decision rates of $8\times 10^3~\text{s}^{-1}$ per channel for a representative metropolitan-scale $50$-km fiber network to keep up with the fast-changing environment, such as financial markets and electric grid n
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