Government Quantum Initiatives: National Programs & Policy
Government quantum news: National Quantum Initiative, quantum policy, EU Quantum Flagship, China quantum. Quantum regulation & programs.
Governments worldwide recognize quantum technologies as strategic priorities. India's National Quantum Mission (NQM), approved on 19 April 2023, represents a comprehensive framework with ₹6,003.65 crore allocation for eight years.
India's National Quantum Mission Structure
Thematic Hubs (T-Hubs) under NQM: Quantum Computing: Foundation for QC Innovation at IISc Bengaluru (lead), with partners including IIT Delhi, IIT Bombay, TIFR Mumbai, and others; Quantum Communication: IITM C-DOT Samgnya Technologies Foundation at IIT Madras with C-DOT Delhi; Quantum Sensing & Metrology: Qmet Tech Foundation at IIT Bombay; Quantum Materials & Devices: QMD Foundation at IIT Delhi.
Key NQM Deliverables: Intermediate-scale quantum computers with 50-1000 physical qubits in 8 years; satellite-based secure quantum communications over 2000 km; inter-city quantum key distribution over 2000 km; multi-node quantum networks with quantum memories; magnetometers with high sensitivity and atomic clocks for precision timing; quantum materials including superconductors and novel semiconductor structures.
Supporting Infrastructure
Quantum fabrication facilities at IISc Bengaluru (₹720 crore total investment); quantum fabrication facilities at IIT Bombay; smaller facilities at IIT Delhi and IIT Kanpur; dilution refrigeration laboratories at TIFR Mumbai, IISc Bengaluru, and TIFR Hyderabad.
Other Government Programs: DRDO Young Scientists Laboratory for Quantum Technologies (DYSL-QT) at DIAT Pune; Centre for Excellence in Quantum Technology (CEQT) at IISc Bengaluru (MeitY supported); Centre for Quantum Information, Communication and Computing (CQuICC) at IIT Madras; ISRO space-based quantum communication initiatives.
quantum-computingIonQ Selected to Support Missile Defense Agency SHIELD IDIQ Contract
Insider Brief IonQ was awarded a position on the U.S. Missile Defense Agency’s SHIELD indefinite-delivery/indefinite-quantity (IDIQ) contract, which has a ceiling value of $151 billion. IonQ is one of more than 2,400 companies eligible to compete for future task orders under the SHIELD contract framework. The company said its portfolio spans quantum computing, networking, sensing, and security, alongside subsidiary capabilities in space-based imaging, optical communications, and precision timing. PRESS RELEASE — IonQ (NYSE: IONQ) is pleased to announce it was awarded a contract under the Missile Defense Agency Scalable Homeland Innovative Enterprise Layered Defense (SHIELD) indefinite-delivery/indefinite-quantity (IDIQ) contract with a ceiling of $151 billion. This contract encompasses a broad range of work areas that allows for the rapid delivery of innovative capabilities to the warfighter with increased speed and agility. IonQ is among more than 2,400 companies eligible to compete for future task orders issued under the SHIELD IDIQ contract framework. IonQ delivers a full portfolio of quantum technologies spanning quantum computing, quantum networking, quantum sensing, and quantum security. The company also includes subsidiaries with established capabilities across space-based intelligence, secure communications, and precision timing technologies. IonQ’s subsidiary companies include Capella Space, which provides on-demand, all-weather synthetic aperture radar imagery from space to support data-driven decision-making for operational and security missions; Skyloom, which delivers high-capacity optical communications technologies designed to enable secure, high-speed data transfer between space and ground systems; and Vector Atomic, which develops precision timing and navigation technologies designed to support system performance in GPS-degraded or denied environments. “IonQ brings together a broad set of quantum technologies and supporting capabiliti
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quantum-computingWhere Will Nvidia Stock Be in 2030?
The AI boom probably won't last forever.In late 2022, Wall Street noticed that the first iteration of OpenAI's AI chatbot, ChatGPT, was trained and powered by thousands of Nvidia's (NVDA +0.79%) data center graphics processing units (GPUs). And a spark was lit that quickly made the cutting-edge chipmaker the largest company in the world, with a market cap of $4.55 trillion. The good news is that companies continue to clamor for Nvidia's hardware. But how sustainable is the demand propping up Nvidia's huge valuation? Let's dig deeper into what could come next as the chipmaker seeks to maintain its dominance over the next decade and beyond. Image source: Getty Images. How much is big tech spending on chips? As of early 2026, the AI race shows no signs of slowing down. This month, cloud computing giant Amazon announced plans to increase its full-year capital expenditures by 50% to $200 billion, with much of that going to data center spending. Alphabet has similar goals, with $175 billion to $185 billion earmarked this year. CNBC estimates that total AI spending could hit an eye-popping $700 billion this year alone. The big-spending hyperscalers can afford to pour so much money into AI because of their diversified and highly profitable businesses. But that doesn't necessarily mean it's a good idea. Capital expenditures come with an opportunity cost because they represent cash flow that could have been used for other things or returned to shareholders through buybacks or dividends. Meanwhile, the value of the AI spending looks uncertain. While AI technology continues to improve at a rapid rate, it still consistently underperforms humans on basic labor tasks and generates huge losses for the consumer-facing companies like OpenAI and Anthropic that rent computing power from Nvidia's clients. Investors are also starting to balk at the data center spending, with Amazon's share price falling almost 20% in the week following its capex announcement. Ultimately, public comp
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quantum-computingFrozen and Growing Quantum Work under Noise: Coherence and Correlations as Key Resources
--> Quantum Physics arXiv:2602.18860 (quant-ph) [Submitted on 21 Feb 2026] Title:Frozen and Growing Quantum Work under Noise: Coherence and Correlations as Key Resources Authors:Mohammad B. Arjmandi View a PDF of the paper titled Frozen and Growing Quantum Work under Noise: Coherence and Correlations as Key Resources, by Mohammad B. Arjmandi View PDF HTML (experimental) Abstract:We investigate the decomposition of ergotropy into incoherent and coherent contributions for quantum systems subject to typical Markovian noise channels. The incoherent part originates from population inversion in the energy eigenbasis after dephasing, while the coherent part captures the role of quantum coherence in work extraction. For single-qubit systems, we derive explicit conditions for freezing and enhancement of coherent ergotropy and obtain an analytical upper bound, showing that it cannot exceed one half of the state's quantum coherence. We then study two classes of separable two-qubit states under local noise. For Bell-diagonal states, which are locally completely passive and possess no local coherence, we prove that the total extractable work equals the average of geometric quantum and classical correlations. In this case, coherent ergotropy cannot be enhanced, although freezing occurs under specific noise conditions. By contrast, for separable states with local coherence, coherent ergotropy can increase under all considered noise channels, including phase-flip and depolarizing noise. Extending the analysis to multipartite systems, we show that both the magnitude and range of noise-induced enhancement grow with the number of qubits, indicating collective reinforcement. Finally, we demonstrate through an explicit example that entanglement does not prevent this enhancement: coherent ergotropy may increase under noise even for entangled states. Our results reveal that noise can assist energy storage, challenging the conventional view of noise as purely detrimental and suggesting com
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quantum-computingTrotter Error and Orbital Transformations in Quantum Phase Estimation
--> Quantum Physics arXiv:2602.18913 (quant-ph) [Submitted on 21 Feb 2026] Title:Trotter Error and Orbital Transformations in Quantum Phase Estimation Authors:Marvin Kronenberger, Mihael Erakovic, Markus Reiher View a PDF of the paper titled Trotter Error and Orbital Transformations in Quantum Phase Estimation, by Marvin Kronenberger and 1 other authors View PDF HTML (experimental) Abstract:Quantum computation with Trotter product formulae is straightforward and requires little overhead in terms of logical qubits. The choice of the orbital basis significantly affects circuit depth, with localised orbitals yielding lowest circuit depths. However, literature results point to large Trotter errors incurred by localised orbitals. Here, we therefore investigate the effect of orbital transformations on Trotter error. We consider three strategies to reduce Trotter error by orbital transformation: (i) The a priori selection of an orbital basis that produces low Trotter error. (ii) The derivation of an orbital basis that produces a ground state energy free of Trotter error (as we observed that the Trotter error is a continuous function in the Givens-rotation parameter, from which continuity of this error upon orbital transformation can be deduced). (iii) Application of propagators that change the computational basis between Trotter steps. Our numerical results show that reliably reducing Trotter error by orbital transformations is challenging. General recipes to produce low Trotter errors cannot be easily derived, despite analytical expressions which suggest ways to decrease Trotter error. Importantly, we found that localised orbital bases do not produce large Trotter errors in molecular calculations, which is an important result for efficient QPE set-ups. Comments: Subjects: Quantum Physics (quant-ph); Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph) Cite as: arXiv:2602.18913 [quant-ph] (or arXiv:2602.18913v1 [quant-ph] for this version) &nb
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quantum-computingCo-Propagation of Quantum Time Synchronization and Optical Frequency Transfer over a 122 km Hollow-Core Fiber
--> Quantum Physics arXiv:2602.19013 (quant-ph) [Submitted on 22 Feb 2026] Title:Co-Propagation of Quantum Time Synchronization and Optical Frequency Transfer over a 122 km Hollow-Core Fiber Authors:Huibo Hong, Xiao Xiang, Runai Quan, Rongduo Lu, Qian Zhou, Dawei Ge, Liuyan Han, Bo Liu, Ru Yuan, Dechao Zhang, Yuting Liu, Bingke Shi, ZhiGuang Xia, Xinghua Li, Mingtao Cao, Tao Liu, Ruifang Dong, Shougang Zhang View a PDF of the paper titled Co-Propagation of Quantum Time Synchronization and Optical Frequency Transfer over a 122 km Hollow-Core Fiber, by Huibo Hong and 16 other authors View PDF Abstract:The co-propagation of quantum and classical signals through shared optical fibers is crucial for scalable quantum networks. However, this coexistence is fundamentally limited by spontaneous Raman scattering (SpRS) from the bright classical light, which generates overwhelming noise that disrupts the single-photon-level quantum signals. Here, we overcome this long-standing challenge by leveraging the inherently ultralow nonlinearity of hollow-core fiber (HCF) to suppress SpRS noise. By operating both the quantum time synchronization (QTS) and classical optical frequency transfer (OFT) signals within the telecom C-band, separated by only ~10 nm, we successfully demonstrate their simultaneous transmission over a 122-km HCF link. With a classical OFT power of 1 mW, the QTS performance shows negligible degradation, maintaining sub-picosecond time stability at 2000 s, while the OFT achieves a fractional frequency instability of 10^-20. Near-sub-picosecond QTS stability is preserved even when the classical power is increased to 3 mW. Furthermore, simulations based on our experimental data indicate that with next-generation low-loss HCF, the platform can tolerate classical powers beyond 10 mW and extend the QTS range to over 500 km. By realizing a unified quantum-classical time-frequency distribution framework, this work establishes HCF as a highly capable and practical platform
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quantum-computingBetter Cryptocurrency to Buy Right Now With $2,000 and Hold for 5 Years: XRP vs. Bitcoin
By Alex Carchidi – Feb 23, 2026 at 4:10PM ESTKey PointsBitcoin has a track record of gaining value due to its scarcity, but it has a new risk on the radar.XRP has historically gained value due to its adoption by financial organizations.The next five years will look very different for these two assets. These 10 Stocks Could Mint the Next Wave of Millionaires ›CRYPTO: XRPXRPMarket Cap$83BToday's Changeangle-down(-2.15%) $0.03Current Price$1.36Price as of February 23, 2026 at 4:43 PM ETThese two coins need to accomplish certain objectives to become more valuable, but one faces a more challenging path.If you're wondering about whether to invest $2,000 into Bitcoin (BTC 4.45%) or XRP (XRP 2.15%) for the purpose of a five-year hold, it's probably the case that both assets can do fairly well over that time. But that doesn't mean their odds of strong performance are equal, and the fact of the matter is that one of the pair is a bit more likely to take the prize. Let's compare and contrast these two coins to see why that is. Image source: Getty Images. Bitcoin's edge is structural, if tarnished As you may have heard, Bitcoin's supply is controlled by its halving events, which occur roughly every four years, slashing the amount of new Bitcoin mined per block in half. Bitcoin's next halving is projected for early 2028, smack in the middle of our five-year time horizon. That's an important consideration here, as investors often drive up the price of the coin in advance of the halving while securing as much supply as they can. Over the long term, the constant constriction of supply is one of the most important factors forcing the coin's price upward. But halvings are not magic for Bitcoin's price. If macro conditions turn hostile, the supply shock alone may not carry the day. And in the coming years, an extra wrinkle could weigh down sentiment about the asset. That wrinkle is the risk posed by quantum computers, which could, in theory, one day be powerful enough to cra
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quantum-computingNQFF and Qolab Collaborate on Wafer-Scale Cryogenic Filters for Quantum Scaling
NQFF and Qolab Collaborate on Wafer-Scale Cryogenic Filters for Quantum Scaling The National Quantum Federated Foundry (NQFF) and Qolab have entered into a research collaboration to develop integrated cryogenic low-pass filters for quantum processors. The project aims to resolve hardware bottlenecks in scaling superconducting and spin-qubit systems by transitioning from discrete, bulky filter components to semiconductor-wafer-scale manufacturing. These filters are essential for shielding qubits from high-frequency microwave noise, which otherwise induces decoherence at millikelvin temperatures. The technical focus involves leveraging NQFF’s nanofabrication capabilities and Qolab’s systems expertise to produce filters directly on silicon wafers. This methodology allows for denser integration with qubit circuits and reduces the physical footprint within dilution refrigerators, facilitating the transition from dozens to millions of qubits. The resulting hardware is intended for deployment in quantum systems at the University of California, Los Angeles (UCLA). The National Quantum Office (NQO), hosted by the Agency for Science, Technology and Research (A*STAR), facilitates the partnership as part of Singapore’s National Quantum Strategy. NQFF utilizes a federated network including the A*STAR Institute of Materials Research and Engineering (IMRE), the A*STAR Institute of Microelectronics (IME), and the National University of Singapore (NUS). Qolab, co-founded by 2025 Physics Nobel Laureate Professor John Martinis, focuses on the development of utility-scale, fault-tolerant superconducting quantum computers. For further technical details on the collaboration, consult the official media release here. February 23, 2026 Mohamed Abdel-Kareem2026-02-23T11:11:38-08:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.
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quantum-computingGuide Labs debuts a new kind of interpretable LLM
The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles with sycophancy, or run-of-the-mill hallucinations, plumbing through a neural network with billions of parameters isn’t easy. Guide Labs, a San Francisco start-up founded by CEO Julius Adebayo and chief science officer Aya Abdelsalam Ismail, is offering an answer to that problem today. On Monday, the company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its actions easily interpretable: Every token produced by the model can be traced back to its origins in the LLM’s training data. That can as a simple as determining the reference materials for facts cited by the model, or as complex as understanding the model’s understanding of humor or gender. “If I have a trillion ways to encode gender, and I encode it in 1 billion of the 1 trillion things that I have, you have to make sure you find all those 1 billion things that I’ve encoded, and then you have to be able to reliably turn that on, turn them off,” Adebayo told TechCrunch. “You can do it with current models, but it’s very fragile … It’s sort of one of the holy grail questions.” Adebayo began this work while earning his PhD at MIT, co-authoring a widely cited 2018 paper that showed existing methods of understanding deep learning models were not reliable. That work ultimately led to the creation of a new way of building LLMs: Developers insert a concept layer in the model that buckets data into traceable categories. This requires more up front data annotation, but by using other AI models to help, they were able to train this model as their largest proof of concept yet. “The kind of interpretability people do is…neuroscience on a model, and we flip that,” Adebayo said. “What we do is actually engineer the model from the ground up so that you don’t need to do neurosc
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quantum-computingLocalizing multipartite entanglement with local and global measurements
AbstractWe study the task of localizing multipartite entanglement in pure quantum states onto a subsystem by measuring the remaining systems. To this end, we fix a multipartite entanglement measure and consider two quantities: the multipartite entanglement of assistance (MEA), defined as the entanglement measure averaged over the post-measurement states and maximized over arbitrary measurements; and the localizable multipartite entanglement (LME), defined in the same way but restricted to only local single-system measurements. Both quantities generalize previously considered bipartite entanglement localization measures. In our work we choose the n-tangle, the genuine multipartite entanglement concurrence and the concentratable entanglement (CE) as the underlying seed measure, and discuss the resulting MEA and LME quantities. First, we prove easily computable upper and lower bounds on MEA and LME and establish Lipschitz-continuity for the n-tangle and CE-based LME and MEA. Using these bounds we investigate the typical behavior of entanglement localization by deriving concentration inequalities for the MEA evaluated on Haar-random states and performing numerical studies for small tractable system sizes. We then turn our attention to protocols that transform graph states. We give a simple criterion based on a matrix equation to decided whether states with a specified n-tangle value can be obtained from a given graph state, providing no-go theorems for a broad class of such graph state transformations beyond the usual “local Clifford plus local Pauli measurement” framework. This analysis is generalized to weighted graph states, which provide a realistic error model in current experiments preparing graph state. Our entanglement localization framework certifies the near-optimality of recently discussed local-measurement protocols to transform uniformly weighted line graph states into GHZ states, even when considering arbitrary entangled measurements. Finally, we demonstra
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quantum-computingAustralia Funds Quantum Technology Demonstration Projects
Insider Brief Australia’s Critical Technologies Challenge Program (CTCP) is providing stage 2 funding to quantum-related projects as part of a broader $36 million grant initiative supporting solutions to national challenges. Eight round 1 stage 1 projects have progressed to stage 2, including awards of $2.4 million to Loughan Technology Group, $1.1 million to La Trobe University, and $1.2 million to Miniprobes. The CTCP aligns with the National Quantum Strategy and the Future Made in Australia plan to support innovation, digital capability, and high-tech manufacturing. Photo from Pexels by Erik Mclean. The Critical Technologies Challenge Program (CTCP) provides up to $36 million in grant funding to test and demonstrate solutions to market-led challenges of national significance using quantum technologies, the Australian Government’s Department of Industry, Science and Resources reported. The program operates in two stages, with stage 1 offering up to $500,000 to fund feasibility projects and stage 2 providing up to $5 million to demonstrate proof of concept for projects progressing from stage 1. The CTCP aligns with the National Quantum Strategy, which aims to foster a vibrant and resilient innovation ecosystem that can harness emerging technologies for the benefit of all Australians, the department reported. The program also aligns with the Future Made in Australia plan by backing Australian-led projects that deliver innovations in science and digital capability, and by nurturing quantum capabilities to strengthen Australia’s high-tech manufacturing base. Here’s who got the cash and what for: Optimise the performance, sustainability, and security of energy networks ApplicantProject partnersProject titleDemonstrator fundingFlinders UniversityEfficientsee Pty LtdMacquarie UniversityUniversity of South AustraliaZeco Australian Energy Solutions Pty LtdA Quantum Computing-Based Demonstrator for Remote Community Energy System$1,157,530La Trobe UniversityAQ Intellige
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quantum-computingPrediction: After Beating the S&P 500 for the Last 15 Years, This Unstoppable Vanguard ETF Will Top the Market Again in 2026
This ETF invests aggressively in high-growth stocks, while maintaining minimal exposure to worse-performing areas of the market.The S&P 500 (^GSPC +0.69%), which is a highly diversified index featuring 500 companies from 11 different economic sectors, delivered a solid return of 16.4% in 2025. However, had you invested in the Vanguard S&P 500 Growth ETF (VOOG +0.99%) instead, you would have earned a much higher return of 21.4%. The Vanguard S&P 500 Growth ETF is an exchange-traded fund (ETF) that tracks the performance of the S&P 500 Growth index, which exclusively holds 139 of the best-performing stocks from the regular S&P 500, and disregards the rest. Last year's performance was no fluke, because its unique portfolio composition has propelled the ETF to market-beating returns consistently since it was established in 2010. Here's why I predict it will beat the S&P 500 yet again in 2026. Image source: Getty Images. High exposure to the fastest-growing areas of the stock market There are two aspects to the strong performance of the S&P 500 Growth index relative to the S&P 500: The stocks it holds and the stocks it doesn't hold. It selects stocks based on factors like their momentum and the sales growth of the underlying companies, and it rebalances on a quarterly basis by removing holdings that no longer meet its criteria and replacing them with more suitable candidates. The information technology sector is a hotbed of growth and momentum thanks to companies like Nvidia, Broadcom, Microsoft, and Apple, which operate at the forefront of the artificial intelligence (AI) boom. Then there is the communication services sector, which is home to tech-adjacent growth powerhouses like Alphabet, Meta Platforms, and Netflix. That's why these sectors have much higher weightings in the Vanguard S&P 500 Growth ETF relative to the S&P 500. Sector Vanguard ETF Weighting S&P 500 Weighting Information Technology 47.9% 33.4% Communication Se
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quantum-computingItalian Court Halts IBM’s €61 Million Quantum Contract in Campania
Insider Brief An Italian administrative court has suspended Campania’s €61 million euro contract to install a quantum computing system at the University of Salerno, delaying the region’s planned “quantum valley.” The court accepted an appeal from Tea Tek challenging the procurement process, including deadline extensions granted during the bidding, rather than the technical merits of IBM’s proposal. The ruling adds to a history of canceled and reissued high-value regional tenders in Campania due to procedural errors, leaving the project’s timeline uncertain. Photo by jorono on Pixabay An Italian court has halted a €61 million — or about $72 million U.S. — contract to install a quantum computing system at the University of Salerno, stalling the Campania region’s plan to build a “quantum valley” in southern Italy. The Regional Administrative Court of Naples accepted an appeal challenging the award of the contract to IBM, according to reporting by La Città. The project called for the purchase, delivery, installation and specialized support of a quantum system to be housed in the former Ruggiero library on the Fisciano campus. The initiative was championed by the Campania regional government under former Gov. Vincenzo De Luca, which had promoted the site as a future hub for advanced computing research and economic development. Regional officials framed the effort as a step toward placing the area as a leader of quantum technology, a field that uses the physics of subatomic particles to perform certain calculations more efficiently than conventional computers. Procurement Dispute The appeal was filed by Tea Tek, one of the companies that lost the tender. According to La Città, the challenge focused not on the technical merits of IBM’s proposal but on the procedures used in the bidding process. Tea Tek objected to deadline extensions granted by the region, arguing that the additional time effectively favored economic operators that had hesitated to submit a proposal. The c
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quantum-computingShortcuts to Adiabaticity via Adaptive Quantum Zeno Measurements
--> Quantum Physics arXiv:2602.17786 (quant-ph) [Submitted on 19 Feb 2026] Title:Shortcuts to Adiabaticity via Adaptive Quantum Zeno Measurements Authors:Adolfo del Campo View a PDF of the paper titled Shortcuts to Adiabaticity via Adaptive Quantum Zeno Measurements, by Adolfo del Campo View PDF HTML (experimental) Abstract:We consider the quantum Zeno dynamics arising from monitoring a time-dependent projector. Starting from a stroboscopic measurement protocol, it is shown that the effective Hamiltonian for Zeno dynamics involves a nonadiabatic geometric connection that takes the form of the Kato-Avron Hamiltonian for parallel transport, stirring the evolution within the time-dependent Zeno subspace. The latter reduces to counterdiabatic driving when projective measurements are performed in the instantaneous energy eigenbasis of the quantum system. The effective Zeno Hamiltonian can also be derived in the context of continuous quantum measurements of a time-dependent observable and the non-Hermitian evolution with a complex absorbing potential varying in time. Our results thus provide a unified framework for realizing shortcuts to adiabaticity via adaptive quantum Zeno measurements. Comments: Subjects: Quantum Physics (quant-ph); Other Condensed Matter (cond-mat.other); Atomic Physics (physics.atom-ph) Cite as: arXiv:2602.17786 [quant-ph] (or arXiv:2602.17786v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.17786 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Adolfo del Campo [view email] [v1] Thu, 19 Feb 2026 19:44:08 UTC (22 KB) Full-text links: Access Paper: View a PDF of the paper titled Shortcuts to Adiabaticity via Adaptive Quantum Zeno Measurements, by Adolfo del CampoView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2026-02 Change to browse by: cond-mat cond-mat.other physics physic
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quantum-computingManipulating heterogeneous quantum resources over a network
--> Quantum Physics arXiv:2602.17803 (quant-ph) [Submitted on 19 Feb 2026] Title:Manipulating heterogeneous quantum resources over a network Authors:Ray Ganardi, Jeongrak Son, Jakub Czartowski, Seok Hyung Lie, Nelly H.Y. Ng View a PDF of the paper titled Manipulating heterogeneous quantum resources over a network, by Ray Ganardi and 4 other authors View PDF HTML (experimental) Abstract:Quantum information processing relies on a variety of resources, including entanglement, coherence, non-Gaussianity, and magic. In realistic settings, protocols run on networks of parties with heterogeneous local resource constraints, so different resources coexist and interact. Yet, resource theories have mostly treated each resource in isolation, and a general theory for manipulation in such distributed settings has been lacking. We develop a unified framework for composite quantum resource theories that describes distributed networks of locally constrained parties. We formulate natural axioms a composite theory should satisfy to respect the local structure, and from these axioms derive fundamental bounds on resource manipulation that hold universally, independent of the particular network characteristics. We apply our results to central operational tasks, including resource conversion and assisted distillation, and introduce new methods to construct new resource monotones from this setup. Our framework further reveals previously unexplored phenomena in the remote certification of quantum resources. Together, these results establish foundational laws for distributed quantum resource manipulation across diverse physical platforms. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.17803 [quant-ph] (or arXiv:2602.17803v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.17803 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Ray Ganardi [view email] [v1] Thu, 19 Feb 2026 20:11:32 UTC (135 KB)
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quantum-computingDigital Quantum Simulation of the Holstein-Primakoff Transformation on Noisy Qubits
--> Quantum Physics arXiv:2602.17806 (quant-ph) [Submitted on 19 Feb 2026] Title:Digital Quantum Simulation of the Holstein-Primakoff Transformation on Noisy Qubits Authors:Kelvin Yip, Alessandro Monteros, Sahel Ashhab, Lin Tian View a PDF of the paper titled Digital Quantum Simulation of the Holstein-Primakoff Transformation on Noisy Qubits, by Kelvin Yip and 3 other authors View PDF Abstract:Quantum simulation of many-body systems offers a powerful approach to exploring collective quantum dynamics beyond classical computational reach. Although spin and fermionic models have been extensively simulated on digital quantum computers, the simulation of bosonic systems on programmable quantum processors is often hindered by the intrinsically large Hilbert space of bosonic modes. In this work, we study the digital quantum simulation of bosonic modes using the Holstein-Primakoff (HP) transformation and implement this protocol on a cloud-based superconducting quantum processor. Two representative models are realized on quantum hardware: (i) the driven harmonic oscillator and (ii) the Jaynes-Cummings model. Using data obtained from the quantum simulations, we systematically examine the interplay between algorithmic and hardware-induced errors to identify optimal simulation parameters. The dominant algorithmic errors arise from the finite number of qubits used in the HP mapping and the finite number of Trotter steps in the time evolution, while hardware errors mainly originate from gate infidelity, decoherence, and readout errors. This study advances the digital quantum simulation of many-body systems involving bosonic degrees of freedom on currently available cloud quantum processors and provides a framework that can be extended to more complex spin-boson and multimode cavity models. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2602.17806 [quant-ph] (or arXiv:2602.17806v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.17806 F
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quantum-computingAustralian Government Allocates $12.7M AUD ($9M USD) to Industrialize Quantum Prototypes
Australian Government Allocates $12.7M AUD ($9M USD) to Industrialize Quantum Prototypes The Australian Government has finalized $12.7 million AUD ($9 million USD) in funding for eight projects under Stage 2 of the Critical Technologies Challenge Program (CTCP). This funding round supports the transition of quantum-based solutions from feasibility studies to proof-of-concept demonstrations. Aligned with the National Quantum Strategy, these grants aim to catalyze the industrialization of quantum hardware and software across sectors of national significance, including energy, resources, and healthcare. The program follows a dual-stage structure where participants receive up to $5 million to build working prototypes capable of operating in relevant environments. In the resource exploration sector, Loughan Technology Group Pty Limited received $2.4 million to develop a quantum optical sensor for the real-time detection of rare-earth elements in clay-hosted deposits. This project, partnered with ABx Group Limited, Australian Rare Earths Limited, and The University of Adelaide, utilizes Quantum Novel Fluorescence Analysis (Q-NFA) to quantify economically recoverable minerals. Simultaneously, Orica Australia Pty Ltd was awarded $2.3 million to integrate quantum opto-mechanical sensors into through-earth communications. Collaborating with the Department of Defence, Syndetic Pty Ltd, and The University of Queensland, the initiative focuses on detecting weak magnetic signals to enhance wireless initiating systems in harsh mining environments. Energy optimization projects include a $1.1 million grant to La Trobe University for the development of a hybrid quantum-classical optimization system for data center cooling. The system utilizes the Quantum Walk-Assisted Optimisation Algorithm (QWOA) in partnership with AQ Intelligence Pty Ltd, Fujitsu Australia Ltd, NEXTDC Limited, and the University of Western Australia to reduce operational energy consumption. Additionally, Flinders
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quantum-computingCould Investing $10,000 in IonQ Make You a Millionaire?
IonQ is one of the most popular quantum computing stocks.Quantum computing is the next big technology that's expected to follow AI. While the AI build-out is in full swing, so is the quantum computing arms race. Every company competing in the quantum computing realm is racing toward one goal: accuracy. That's the one hold-up with quantum technology right now, as its solutions aren't accurate enough to be deployed in a commercial setting. If that's the primary issue that every company is trying to solve, then a logical investment idea is to pick the current leader. Right now, that's IonQ (IONQ 4.58%). IonQ has made some structural decisions that optimize its technology for accuracy, which is why it's a leader in the space. But will those decisions be enough to transform $10,000 into $1 million? Image source: Getty Images. IonQ holds a commanding lead IonQ's latest measure of accuracy was in October 2025, when it delivered 99.99% two-qubit gate fidelity. This metric has become the industry standard in quantum computing and can be utilized when comparing systems from different providers. It measures if a calculation is still correct after passing through two processing "gates," and a 99.99% score indicates one error out of every 10,000 operations. While you and I would be incredibly happy only making one error in every 10,000 decisions we make, that's not good enough for a computer. Basic processes require thousands of operations, and if one error happens, it can propagate to ruin the entire system. That's why accuracy is so important, and with the rest of the quantum computing competition not yet reaching the 99.99% accuracy threshold, IonQ has a decent lead. ExpandNYSE: IONQIonQToday's Change(-4.58%) $-1.53Current Price$31.90Key Data PointsMarket Cap$11BDay's Range$31.38 - $33.8852wk Range$17.88 - $84.64Volume16MAvg Vol20MGross Margin-747.41% But will this be enough to fend off competitors? That's an impossible question to answer. There are several other viable quant
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quantum-computingClarification of “academic relevance”
Hi community, I’m reaching out to better understand the removal of my recent post regarding the quantum computer hardware replica I designed and built for a local university. It was removed for "not being related to the academics of quantum computing," and I’m hoping for some clarity on that criteria. To provide context: this wasn’t a fan-art project. This was a commissioned educational tool built specifically for a university’s quantum computing department. The "cooling tower" (dilution refrigerator) architecture is fundamental to how superconducting qubits function; without that specific hardware environment, the "academics" of the math and logic don't translate to reality. My post aimed to show the hardware side of the field, specifically how universities are using physical models to teach students about: Cryogenic environments and the stages of cooling. Signal routing and the physical constraints of wiring a quantum processor. Scaling challenges in hardware design. If a project commissioned by a university for the express purpose of departmental education doesn’t qualify as "academic," could you please clarify what does? Is the sub restricted strictly to theoretical papers, or is there room for the physical engineering and pedagogical tools that make the science accessible? I’d love to find a way to share this that fits your guidelines, as the intersection of hardware engineering and education is a vital part of the field. submitted by /u/StarsapBill [link] [comments]
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quantum-computingFormFactor Director Sells 3,000 Shares Before Retirement Announcement
Seven different board directors at FormFactor sold shares in February 2026. Could this be a sign of an insider sell-off?Kevin J. Brewer, Director at FormFactor (FORM +2.36%), reported the direct sale of 3,000 common shares for a transaction value of approximately $289,000 on Feb. 11, 2026, according to a SEC Form 4 filing. Transaction summaryMetricValueShares sold (direct)3,000Transaction value$289,000Post-transaction shares (direct)8,105Post-transaction value (direct ownership)$779,000Transaction value based on SEC Form 4 reported price ($96.20); post-transaction value based on Feb. 11, 2026 market close price. Key questionsWhat proportion of Brewer’s holdings was affected by this sale?This transaction accounted for 27.01% of Brewer's direct holdings, reducing his directly held common shares from 11,105 to 8,105.How does this sale relate to Brewer’s historical trading patterns?This is Brewer’s only open-market sale in the past two years. Company overviewMetricValuePrice $94.56Market capitalization$7.33 billionRevenue (TTM)$784.99 million1-year price change151.62%* Price and 1-year price change calculated using Feb. 11, 2026 as the reference date. ExpandNASDAQ: FORMFormFactorToday's Change(2.36%) $2.18Current Price$94.46Key Data PointsMarket Cap$7.3BDay's Range$92.14 - $95.0852wk Range$22.58 - $100.01Volume44KAvg Vol1.2MGross Margin43.92%Company snapshotFormFactor is a global provider of semiconductor test and measurement technologies that help analyze semiconductor performance throughout its life cycle. Devices that the company offers include probe cards, analytical probes, probe stations, metrology systems, thermal systems, and cryogenic systems. Core clients include semiconductor companies, research facilities, and tech manufacturers. What this transaction means for investorsAs of Feb. 21, 2026, seven different board directors and two executives have sold shares this month. And on the 18th, FormFactor announced that its board will be reshuffled, as Brewer plans t
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quantum-computingVanguard Owns 36 Million Shares of Rigetti Computing. Here's Why That $577 Million Position Doesn't Mean What You Think It Does.
Passive fund buying is not a vote of confidence.If you follow quantum computing stocks, you've probably seen some version of this headline: "Wall Street is loading up on Rigetti Computing (RGTI 4.07%)." The article in question probably pointed to 13F filings showing that leading money managers like Vanguard, BlackRock, and State Street hold tens of millions of shares of the pure play. At first glance, that might look like a massive endorsement. Vanguard, the largest asset manager on the planet, has a position in Rigetti worth roughly $577 million. That must mean something, right? Active vs. passive In fact, though, Vanguard's large position in Rigetti has nothing to do with the convictions of its fund managers. It exists because the stock is a component of broad indexes like the Russell 2000. Vanguard offers numerous passively managed funds -- like the Vanguard Small-Cap Index Fund -- that track a specific index. That means holding every stock in that benchmark index in the same proportion -- or weighting -- as the index does. ExpandNASDAQ: RGTIRigetti ComputingToday's Change(-4.07%) $-0.68Current Price$15.93Key Data PointsMarket Cap$5.3BDay's Range$15.51 - $16.5552wk Range$6.86 - $58.15Volume1.1MAvg Vol34MGross Margin-6849.48% When Rigetti's stock price surged by over 1,700% in 2025, its weighting in these indexes increased, and the value of Vanguard's stake grew proportionally, as did its weight in those funds' portfolios. The same is true of BlackRock, State Street, and Geode Capital, and most of the largest institutional holders of Rigetti. What about the active investors? There are exceptions, however. Some active hedge funds like D.E. Shaw also hold sizable positions in Rigetti. But those positions don't amount to much of an endorsement either. D.E. Shaw is a quant fund: It uses algorithms to trade on momentum and other factors that have little to do with anyone's long-term convictions about a stock or beliefs in a company's ability to execute on its vis
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