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-computingUChicago PME’s Quantum Horizons Conference Reaches 265 Attendees From 118 Institutions
More than 265 attendees from 118 institutions convened for the Quantum Horizons conference, an effort to broaden access to quantum science and engineering. The biennial event, modeled after the Conference for African-American Researchers in the Mathematical Sciences held at Princeton, debuted in 2024 to address a growing disparity in exposure to advanced technologies for researchers at smaller universities. “Almost every large corporation used to maintain an advanced technology laboratory,” explained Bill Wilson, Executive Director of the Center for Nanoscale Systems at Harvard University. Wilson said the conference aims to fill this gap, expanding the talent pool available as quantum technology is expected to create as many as 191,000 new jobs in the region within a decade. The biennial event, with over 265 attendees representing 118 institutions, aims to broaden participation in a field historically concentrated within a limited number of major research universities. Wilson explained that discussions with UChicago Pritzker School of Molecular Engineering Dean Nadya Mason and Argonne Deputy Laboratory Director for Science and Technology Sean Jones prompted the decision to host the second conference in Chicago, recognizing the city’s developing quantum ecosystem and potential for student employment. Oyeyemi Oyebode, a PhD student at Northern Illinois University, stated that quantum technology represents the future. The conference’s success suggests a growing commitment to democratizing access to a field with significant scientific and economic potential. The University of Chicago is taking the ideas of using quantum systems that take very precise measurements and using them to study biological systems. The quantum industry in Illinois is rapidly translating into economic benefits, fueled by strategic investment and collaborative partnerships. Beyond the scientific advancements showcased at the recent Quantum Horizons conference, a clear focus on workforce developmen
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quantum-computingGoogle Seeks Proposals for Quantum Computing Applications
Google is directing its latest academic research funding toward practical applications of quantum computing, with a specific emphasis on algorithms designed for devices limited to a relatively small number of logical qubits. This funding cycle does not seek purely theoretical advances; instead, Google aims to support research that addresses immediate hardware constraints and solves classically intractable problems. A key focus of the call for proposals is potential exploits targeting the connection between classical and quantum systems. Applications are open to professors at degree-granting institutions who are advising students and conducting research. Early Fault-Tolerant Algorithms for Quantum Computing Quantum computing’s progression beyond theoretical possibility is now focused on overcoming the practical hurdles of building stable, scalable systems, and Google is directing significant research funding toward this immediate challenge. The company’s 2026 call for proposals specifically targets algorithms and applications that can run on early fault-tolerant devices, targeting research that utilizes a relatively small number of logical qubits to solve classically intractable problems. This pragmatic approach acknowledges that building fully error-corrected quantum computers remains a long-term goal, and that valuable progress can be made by focusing on algorithms tailored to the characteristics of early, imperfect devices. The call for proposals explicitly seeks to identify research that utilizes this limited qubit count effectively, suggesting a preference for algorithms with high computational leverage. Beyond algorithm development, Google is also prioritizing security considerations within the evolving quantum ecosystem. A noteworthy aspect of the funding call is its focus on an underexplored area of this security landscape: the potential for practical exploits targeting the classical-to-quantum interface. The program seeks to identify algorithms and applicati
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quantum-computingResearchers Map Graphs for Distinguishing Quantum States with Two-Way Communication
Scientists at the University of Guelph, Brandon University and Bentley Universit, led by Sooyeong Kim, present the first thorough analysis of graphs representing bipartite product states distinguishable through two-way communication protocols after a finite number of steps. The analysis builds upon existing graph-theoretic approaches for one-way communication, sharply advancing understanding of local distinguishability in quantum information theory and offering insights into the limitations and possibilities of quantum communication protocols. They identify key properties of distinguishable graphs, pinpointing both those that guarantee and preclude local distinguishability, and provide illustrative examples to enable future work. Two-way communication guarantees complete identification of specific quantum states The 26 June 2026 publication demonstrates, for the first time, that 100% of bipartite product states with specific graph representations can be distinguished using two-way Local Operations and Classical Communication (LOCC). This is a sharp improvement over previous one-way protocols which could not guarantee distinguishability in all cases. The core concept of LOCC dictates that two or more parties, each possessing a quantum system, can perform local operations, measurements and unitary transformations, on their respective systems and communicate classical information. This communication is crucial for coordinating strategies to distinguish between different quantum states. Previous research largely focused on scenarios where communication was strictly one-way, limiting the ability to definitively identify all possible states. This breakthrough overcomes a fundamental limitation in quantum communication, enabling complete state identification through reciprocal communication between parties. Extending existing graph-theoretic methods to analyse scenarios where Alice and Bob freely exchange classical information during measurement revealed key properties of
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quantum-computingIllinois Pledges $3 Million to Fast-Track NSF Quantum X-Labs Teams
Illinois is supplementing federal investment in quantum technology with $3 million to attract teams awarded through the U.S. National Science Foundation’s X-Labs initiative, promising grant disbursement within months, a faster turnaround than typical funding processes. This new capital reinforces an existing commitment of approximately $200 million already invested by the State of Illinois to attract federal quantum funding. “There’s no better place to build quantum technology than right here in Illinois,” said Governor JB Pritzker, emphasizing the operational autonomy and access to the Illinois Quantum and Microelectronics Park’s technical infrastructure offered alongside the financial support. According to DCEO Director Kristin Richards, the fund will attract new talent to Illinois, giving entrepreneurs the opportunity to take advantage of facilities and opportunities for growth. The fund promises an accelerated grant disbursement timeline, with awarded teams potentially receiving funds from the Illinois Department of Commerce and Economic Opportunity (DCEO) within months, a speed rarely seen in grant funding processes. This rapid access to capital is intended to be a key factor in attracting ambitious quantum ventures. Chicago’s quantum innovation organizations are further bolstering the appeal, contributing an additional $250,000 in funding and access to facilities through a collaborative package involving the Chicago Quantum Exchange, P33, Polsky Center for Entrepreneurship and Innovation, and mHUB. The State of Illinois’ $3 million X-Labs Fast Fund will attract new talent to Illinois, giving entrepreneurs the opportunity to take advantage of our world-class facilities and opportunities for growth. IQMP Infrastructure Supports Quantum Technology Development The Illinois Quantum and Microelectronics Park (IQMP) is rapidly becoming a central pillar supporting the growing quantum technology sector, extending beyond initial state and federal investments. This pre-e
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quantum-computingQuantum Sensors for Chemistry and Materials Science
--> Quantum Physics arXiv:2607.07848 (quant-ph) [Submitted on 8 Jul 2026] Title:Quantum Sensors for Chemistry and Materials Science Authors:Piotr Put, Arjun Pillai, Xuan Hoang Le, Mikhail D. Lukin, Hongkun Park View a PDF of the paper titled Quantum Sensors for Chemistry and Materials Science, by Piotr Put and 4 other authors View PDF HTML (experimental) Abstract:The advancement of chemistry and materials science relies on transformative analytical tools which can overcome the sensitivity, spatial resolution, and throughput limitations of conventional techniques. This review explores the application of quantum sensors - specifically optically pumped magnetometers (OPMs) and nitrogen-vacancy (NV) centers in diamond - as robust platforms for molecular and materials analysis. We contrast the extreme magnetic sensitivity of macroscopic OPM ensembles with the atomic-scale resolution and multimodal capabilities of solid-state NV centers. We highlight their deployment in zero- to ultralow-field and nanoscale NMR spectroscopy, real-time reaction monitoring, and transient radical and pH detection. Furthermore, we discuss their integration into high-throughput chemical assays and non-destructive materials diagnostics, such as operando battery monitoring. With the ongoing commercialization of these technologies and advances in quantum-enhanced sensitivities, quantum sensors are poised to routinely address complex real-world analytical challenges. Comments: Subjects: Quantum Physics (quant-ph); Materials Science (cond-mat.mtrl-sci); Chemical Physics (physics.chem-ph) Cite as: arXiv:2607.07848 [quant-ph] (or arXiv:2607.07848v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2607.07848 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Arjun Pillai [view email] [v1] Wed, 8 Jul 2026 18:28:22 UTC (36,485 KB) Full-text links: Access Paper: View a PDF of the paper titled Quantum Sensors for Chemistry and Materia
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quantum-computingA hardware-efficient variational ansatz with an exact diagonal metric for real- and imaginary-time evolution and Haar sampling
--> Quantum Physics arXiv:2607.07942 (quant-ph) [Submitted on 8 Jul 2026] Title:A hardware-efficient variational ansatz with an exact diagonal metric for real- and imaginary-time evolution and Haar sampling Authors:Dario Picozzi View a PDF of the paper titled A hardware-efficient variational ansatz with an exact diagonal metric for real- and imaginary-time evolution and Haar sampling, by Dario Picozzi View PDF Abstract:Variational quantum algorithms depend on the geometry of their parametrised circuits: metric-aware optimisation and time evolution require the Fubini-Study metric, which has hitherto demanded costly auxiliary measurements and ill-conditioned inversions. This work introduces a hardware-efficient $n$-qubit ansatz, which parametrises states by a binary tree and whose Fubini-Study pullback metric is diagonal in closed form. Quantum natural gradient on the tree parameters, variational imaginary- and real-time evolution, and exact unitary-invariant (Haar) sampling on a symmetry sector run with no auxiliary metric circuits or matrix inversion. When the target state is supported on a subspace of $k$ computational-basis states, the redundant tree parameters carry a gauge freedom a pruning compiler converts into circuits whose two-qubit count provably grows linearly in $k$; a variant reaches near-optimal $O(nk/\log n)$ scaling with the closed-form metric intact. On electronic-structure calculations for small molecules and half-filled Hubbard quench dynamics, the method reaches reference-level accuracy with one to three orders of magnitude fewer two-qubit gates than leading alternatives. Interchangeable constructions (a Schur-transform dressing or internal reparameterisations) make the ansatz exactly spin-adapted, with fixed total spin at every parameter and no penalty terms. The bare ansatz is an exactly controllable, well-conditioned and barren-plateau-free primitive for preparing and sampling sector states: on its own, it is classically simulable in $k$ (a bo
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quantum-computingWhy Cohu Stock Raced Nearly 6% Higher Today
On Thursday, an analyst's rather bullish initiation of coverage on Cohu (COHU +5.79%) stock clearly resonated with the market. Investors took that pundit's advice to heart, pushing the semiconductor diagnostics company's shares to an almost 6% share price gain that trading session. Brought in as a buy Just after Wednesday's market close, Baird's Quinn Fredrickson initiated his tracking of Cohu stock by pronouncing it an outperform (i.e., buy). He also set a price target of $65 per share for the highly specialized tech stock, anticipating nearly 18% upside to its current level. Image source: Getty Images. Fredrickson's optimistic stance is based largely on Cohu's enviable potential as a participant in the artificial intelligence (AI) revolution, according to reports. The analyst believes the company could draw numerous revenue streams from this, thanks to its involvement in a wide range of activities. These include, but aren't limited to, software analytics, power management, and hardware testing. The analyst added that even if the broader semiconductor market were to soften, Cohu would still be quite a viable medium to long-term play, as it's a go-to company in its specialized segment. ExpandNASDAQ: COHUCohuToday's Change(5.79%) $3.02Current Price$55.14Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$2.5BMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.Market 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$55.08 - $58.8352wk Range$17.80 - $74.60Volume1.2MAvg Vol1.5MGross Margin36.21% Artificial intelligence and real-world potential I've always been fond of a quality pick-and-shovel stock, and Cohu certainly qualifies. The types of services it offers are crucial to the validation of high-end hardware setups, and as suc
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quantum-computingLiu and Colleagues Proposes Gate Scheduling Protocol for Idling Error Suppression
A new method for suppressing idling errors in quantum computation has been developed by Hoiki Madison Liu of the University of Oxford and colleagues. The technique improves computational accuracy without increasing circuit complexity by optimising the scheduling of existing gate operations, rather than adding control gates. Validation through both numerical simulations and hardware experiments shows a sharp improvement in precision when qubits are inactive during complex circuits. The work also details a theoretical framework, explaining the observed enhancements through analysis of density-matrix evolution under idling noise. Hadamard gate scheduling mitigates decoherence and boosts qubit fidelity A gate scheduling technique improved single-qubit state fidelity by up to 15 per cent compared to conventional idling, a level of precision previously unattainable without employing additional error-correcting gates. Deliberately timing the application of Hadamard gates, fundamental operations transforming a qubit’s state, within idle periods effectively distributes the impact of noise and lessens qubit vulnerability to both amplitude damping and dephasing, processes that cause loss of quantum information. Unlike dynamical decoupling, which adds extra gates to refresh quantum states, this method optimises existing operations, offering a resource-efficient pathway to enhanced computational accuracy. The significance of this improvement lies in the potential to perform longer and more complex quantum computations before the signal is overwhelmed by accumulated errors, bringing practical quantum computation closer to realisation. The RQC-Fujitsu Collaboration Centre demonstrated that deliberately scheduling gate timings within quantum circuits can sharply improve computational accuracy. Hadamard gates, altering a qubit’s quantum state, applied at the midpoint of idle periods mitigated the effects of amplitude damping and dephasing, two key sources of quantum information loss
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quantum-computingQoro Quantum and XeedQ Join €3M ($3.5M USD) BMFTR-Funded TruQuaC Consortium for Distributed Quantum Orchestration
Qoro Quantum and XeedQ Join €3M ($3.5M USD) BMFTR-Funded TruQuaC Consortium for Distributed Quantum Orchestration A new German government-backed research consortium named TruQuaC (Trustworthy Quantum Control and Communication) has launched a €3.06 million ($3.5 million USD) project to engineer a secure control-plane and gateway architecture for distributed quantum systems. Funded primarily through a €2.46 million ($2.8 million USD) grant from the German Federal Ministry for Research, Technology, and Space (BMFTR) under its “Transfer and Network Integration of Quantum Communication“ initiative, the 36-month program runs from June 2026 through May 2029. The project addresses a primary structural bottleneck facing the Quantum Internet: the secure orchestration and integration of isolated, multi-archetype quantum nodes into classical communication network fabrics. [ TruQuaC Project Architecture ] Total Funding Grant ──► €3.06M total budget (€2.46M direct BMFTR sovereign funding). Project Timeline ──► 36-month operational window spanning June 2026 through May 2029. Project Coordinator ──► XeedQ GmbH (Leipzig) — Supplying nitrogen-vacancy (NV) hardware. Orchestration Lead ──► Qoro Quantum — Providing Maestro emulation and Divi Python SDK layers. Academic Partners ──► Dresden University of Technology & Goethe University Frankfurt. The engineering roadmap focuses on constructing a unified software infrastructure that abstracts network complexities by treating distributed hardware nodes as a resilient, singular system. To safeguard data in transit, TruQuaC will implement secure local gateways capable of managing user authentication, monitoring dynamic node status, distributing computational workloads, and automatically re-routing traffic during localized network drops. By establishing this software-defined infrastructure, the consortium seeks to advance Germany’s long-term technological sovereignty and strengthen regional cryptographic defenses against quantum-enabled ne
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quantum-computing1 Incredible Quantum Computing Stock That Could Make Investors a Fortune - The Motley Fool
Quantum computing may seem like some far-off technology that will never come about, but that's just not the case. There are several companies with early-stage quantum computers that are producing real results for clients, and could easily expand into more mainstream usage as the technology improves and computer size expands. The current timetable for many quantum companies is around 2030, with major market expansion occurring by 2035. McKinsey & Company estimates that the annual quantum computing market could be worth up to $72 billion by 2030, leaving a huge market opportunity available for those who can seize it. One betting favorite is IonQ (IONQ 0.62%), as it's currently the worldwide leader in one of the most critical areas: accuracy. With IonQ holding a world record in this field, it's a favorite to make it to the finish line, and it could make investors a fortune along the way. Image source: Getty Images. IonQ's approach to quantum computing is different than its peers As alluded to above, IonQ holds the world record in 2-qubit gate fidelity, a measurement that ensures the answer is correct after processing through two processing gates. Most companies struggle to reach 99.9% fidelity, but IonQ holds the record at 99.99%. While that's only an extra 0.09%, that is a ton in the quantum computing world. It's the difference between making one error out of every 1,000 operations or one error in every 10,000 operations. IonQ has achieved this by using a unique architecture in its devices. Instead of a supercooling setup like many use, IonQ utilizes trapped-ion technology. This is inherently more accurate, although the trade-off is slower processing speeds. Still, the computing advantage that quantum provides is easily enough to justify these slower speeds. ExpandNYSE: IONQIonQToday's Change(-0.62%) $-0.28Current Price$45.08Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$17BMarket cap calculated using publicly traded shares outstanding only. Does no
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quantum-computing1 Incredible Quantum Computing Stock That Could Make Investors a Fortune
Quantum computing may seem like some far-off technology that will never come about, but that's just not the case. There are several companies with early-stage quantum computers that are producing real results for clients, and could easily expand into more mainstream usage as the technology improves and computer size expands. The current timetable for many quantum companies is around 2030, with major market expansion occurring by 2035. McKinsey & Company estimates that the annual quantum computing market could be worth up to $72 billion by 2030, leaving a huge market opportunity available for those who can seize it. One betting favorite is IonQ (IONQ 0.62%), as it's currently the worldwide leader in one of the most critical areas: accuracy. With IonQ holding a world record in this field, it's a favorite to make it to the finish line, and it could make investors a fortune along the way. Image source: Getty Images. IonQ's approach to quantum computing is different than its peers As alluded to above, IonQ holds the world record in 2-qubit gate fidelity, a measurement that ensures the answer is correct after processing through two processing gates. Most companies struggle to reach 99.9% fidelity, but IonQ holds the record at 99.99%. While that's only an extra 0.09%, that is a ton in the quantum computing world. It's the difference between making one error out of every 1,000 operations or one error in every 10,000 operations. IonQ has achieved this by using a unique architecture in its devices. Instead of a supercooling setup like many use, IonQ utilizes trapped-ion technology. This is inherently more accurate, although the trade-off is slower processing speeds. Still, the computing advantage that quantum provides is easily enough to justify these slower speeds. ExpandNYSE: IONQIonQToday's Change(-0.62%) $-0.28Current Price$45.08Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$17BMarket cap calculated using publicly traded shares outstanding only. Does no
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quantum-computingIllinois Launches $3 Million Fund to Support NSF Quantum Technology Teams
Insider Brief Press release – Governor JB Pritzker and the Illinois Department of Commerce and Economic Opportunity (DCEO) announced today the X-Labs Fast Fund to encourage U.S. National Science Foundation X-Labs (NSF X-Labs initiative) teams to choose Illinois as the place to pursue technical breakthroughs in the quantum technology sector. The Illinois X-Labs Fast Fund […]
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quantum-computingRwth Aachen University Team Proposes Hybrid Color Code Architecture for Fault-Tolerant Computation
Researchers have created a new quantum computer architecture by combining two established methods of protecting quantum information, known as error correction. Quantum error correction is vital because qubits, the fundamental units of quantum information, are exceptionally susceptible to noise and decoherence, leading to computational errors; these codes provide a means of mitigating such errors. This hybrid system uses tetrahedral and H-tetrahedral codes; these codes allow for more operations to be performed without introducing errors than previously possible. Scientists at RWTH Aachen University and Technische Universität Munich have detailed a new approach to building more reliable quantum computers by combining two existing methods of protecting quantum information. The tetrahedral code, a three-dimensional quantum error correcting code, is known for its relatively high threshold for error rates, meaning it can tolerate a significant amount of noise before failing. The H-tetrahedral code is derived from the tetrahedral code via a Hadamard transform, altering its properties and enabling complementary operations. This hybrid architecture utilises tetrahedral and H-tetrahedral codes, allowing for more complex calculations with fewer errors than previously achievable. A key obstacle to creating a complete set of instructions for a quantum computer has been the Eastin-Knill theorem, which acts as a roadblock preventing fully universal operations using only error-resistant methods; think of it like trying to build a road with missing sections. The theorem essentially states that within a single quantum error-correcting code, it is impossible to implement a universal set of transversal gates. Transversal logical gates, where each physical component directly contributes to the result, simplify error correction and are central to this new design. This is because errors during a transversal gate operation are confined to a limited number of physical qubits, simplifying de
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quantum-computingThe Other Direction: How AI Could Become The Operating System For Quantum Computing
WisdomTree5.92K FollowersFollow5ShareSavePlay(18min)CommentsSummaryAI is likely to accelerate quantum computing well before quantum accelerates AI, making today's AI infrastructure providers a compelling way to gain exposure to the theme.NVIDIA's Ising, CUDA-Q and NVQLink suggest the race for quantum leadership will be driven as much by AI infrastructure as by qubit breakthroughs.Rather than betting on hardware winners, investors can gain diversified exposure through the WisdomTree Artificial Intelligence and Innovation Fund and WisdomTree Quantum Computing Fund as AI and quantum technologies increasingly converge. mustafaU/iStock via Getty Images By Christopher Gannatti, CFA and Samuel Rines When NVIDIA (NVDA) announced Ising, a family of AI models designed specifically for quantum calibration and error decoding,1 it was easy to file the newsThis article was written byWisdomTree5.92K FollowersFollowIn 2006, WisdomTree launched with a big idea and an impressive mission — to create a better way to invest. We believed investors shouldn’t have to choose between cost efficiency and performance potential, so we developed the first family of ETFs designed to deliver both. Today, WisdomTree offers a leading product range that offers access to an unparalleled selection of unique and smart exposures.
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quantum-computingPhD proposal in energetic cost of fault-tolerant quantum computing
PhD proposal in energetic cost of fault-tolerant quantum computing Application deadline: Sunday, July 26, 2026Employer web page: https://recrutement.inria.fr/public/classic/en/offres/2026-10236Job type: PhDTags: #PhD #quantum computing #energy #fault-tolerance #quantum error-correction #power #energetics #noise #correlated-noise #scalability #theory #PhDThe MOCQUA team at the Loria laboratory in Nancy (France) is looking for a PhD student in quantum computing theory. More details about the offer and platform to apply is provided in the link The goal will be to analyze how the energy consumption of fault-tolerant quantum computers scales as a function of the size of quantum algorithms, in a regime where the computation is specifically optimized to minimize energy consumption rather than qubits or gates counts. The main objective will be to determine whether better energy scaling than that predicted by the quantum threshold theorems [1,2] can be achieved, following the approaches developed in [3,4]. In practice, the PhD student will mostly focus on fault-tolerant quantum computing theory, and interact with other researchers providing the hardware energetic and noise models. Because such models can introduce correlated noise, this project will indirectly help understanding how to better design fault-tolerant circuits to resist such noise. To design more resource-efficient and noise-resilient fault-tolerant circuits, the PhD might use tools from diagrammatic reasoning for quantum circuits currently developed in the group [5], as well as recent developments in fault-tolerant circuit transformations [6]. =============================================== This project will be supervised by Marco Fellous-Asiani (Starting faculty at INRIA Université de Lorraine; expert in energetics of fault-tolerant quantum computing [3,4]), Simon Perdrix (Research director at INRIA Université de Lorraine; expert in diagrammatic reasoning for quantum circuits [5]), and invo
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quantum-computingSpectral Born machines: classically trainable quantum generative models for discrete data
--> Quantum Physics arXiv:2607.06675 (quant-ph) [Submitted on 7 Jul 2026] Title:Spectral Born machines: classically trainable quantum generative models for discrete data Authors:Austin Huang, William Maxwell, Vasilis Belis, Evan Peters, Jason Pye, Soran Jahangiri, Joseph Bowles View a PDF of the paper titled Spectral Born machines: classically trainable quantum generative models for discrete data, by Austin Huang and 6 other authors View PDF HTML (experimental) Abstract:We present \emph{spectral Born machines}, a class of quantum generative models that results from viewing and generalizing the class of IQP Born machines through the lens of group Fourier analysis. These quantum models exploit the quantum Fourier transform to create an inductive bias that make them naturally suited to learning integer-structured data, while remaining classically hard to sample from in general. Similar to IQP Born machines, spectral Born machines can be trained efficiently at scale on classical hardware via a maximum mean discrepancy loss based on graph spectral analysis, which we make available in a new \emph{tcdq} module of the PennyLane software platform. In numerical experiments, we show how the spectral bias of the model leads to significantly reduced parameter counts compared to unstructured approaches, and demonstrate the scalability of the software by training a 190-qubit model with over 1 million parameters to successfully learn a distribution of 93 nucleotide-long ribosomal RNA. Our results suggest that highly over-parameterized spectral Born machines may be immune to overfitting, even in strongly data-scarce regimes. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2607.06675 [quant-ph] (or arXiv:2607.06675v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2607.06675 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Joseph Bowles [view email] [v1] Tue, 7 Jul 2026 18:00:17 UTC (1,839 KB) Full-text li
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quantum-computingEntanglement-assisted remote energy transfer
--> Quantum Physics arXiv:2607.06837 (quant-ph) [Submitted on 7 Jul 2026] Title:Entanglement-assisted remote energy transfer Authors:Bashir Mojaveri, Rasoul Jafarzadeh Bahrbeig, Mohammad Ali Fasihi, Nasrin Abdi View a PDF of the paper titled Entanglement-assisted remote energy transfer, by Bashir Mojaveri and 2 other authors View PDF HTML (experimental) Abstract:Currently, remote energy transfer and immunity to dissipation are hot topics in quantum batteries (QBs). In this work, we propose a protocol to realize energy transfer between two remote atoms (a quantum charger and a quantum battery) each coupled to a separate optical cavity with the cavities connected by a fiber. The cavities and fiber are coupled to their individual baths. After optimizing inter-system couplings to achieve an efficient transfer, we uncover the effect of suppressing dissipation by introducing parity deformation of the cavities fields. We also prove that the charger-battery entanglement is a consumable resource for energy storage: it is initially stored until the charger and battery reach energy balance, and then subsequently consumed to maintain the increase in energy stored in the battery. The present scheme is the first execution of energy transfer to a distant battery assisted by entanglement, which may help better understand quantum thermodynamics and open new possibilities toward harnessing decoherence as a resource to improve the charging performance of QBs. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2607.06837 [quant-ph] (or arXiv:2607.06837v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2607.06837 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Bashir Mojaveri [view email] [v1] Tue, 7 Jul 2026 22:12:17 UTC (1,263 KB) Full-text links: Access Paper: View a PDF of the paper titled Entanglement-assisted remote energy transfer, by Bashir Mojaveri and 2 other authorsView PDFHTML (experimental)TeX Sour
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quantum-computingQAI Ventures Launches Inaugural Singapore Quantum Accelerator Cohort to Anchor APAC Expansion
QAI Ventures Launches Inaugural Singapore Quantum Accelerator Cohort to Anchor APAC Expansion Global venture capital firm QAI Ventures has officially launched the inaugural cohort of its Singapore Quantum Accelerator, marking the establishment of the state’s first dedicated corporate quantum validation pipeline. Operated in direct cooperation with Enterprise Singapore and structured to align with Singapore’s National Quantum Strategy, the five-month regional program accelerates early-stage quantum and advanced computing ventures looking to scale operations across the Asia-Pacific (APAC) technology market. The execution group selected four highly specialized international startups from a baseline of 63 global applications spanning 12 countries. [ Singapore Quantum Accelerator Matrix ] Program Sponsor ──► Enterprise Singapore (Aligned with the National Quantum Strategy). Financial Injection ──► SGD 300,000 baseline investment package per selected startup. Core Cohort Size ──► 4 international deep-tech startups filtered from 63 applications. Hardware Sandbox ──► Direct computing resource allocations via IonQ, QuEra, and Fujitsu. The localized accelerator addresses a distinct structural barrier within the deep-tech sector: the extensive engineering timeline required to transition foundational laboratory physics into validated, commercial enterprise software and hardware modules. To stabilize these long-range development tracks, QAI Ventures provides each cohort participant with an SGD 300,000 early-stage capitalization package. Alongside direct cash assets, the startups receive a 12-month workspace access allocation in Singapore, targeted market-entry coaching, and cloud-based hardware integrations with active quantum processing units (QPUs) and emulation testbeds provided by structural ecosystem partners IonQ, QuEra, and Fujitsu. The selected inaugural cohort consists of four cross-disciplinary deep-tech ventures: Quantum Logic (Netherlands): Specializing in the engine
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quantum-computingHefei National Laboratory Team Develops Elea-Cafe Workflow for High-Precision CZ Gate Calibration
Huili Zhang and colleagues at Beijing Academy of Quantum Information Sciences and Hefei National Laboratory present a new calibration workflow that sharply enhances CZ gate fidelity. They achieved a CZ gate fidelity exceeding 99.9% on an 84-qubit processor, suppressing coherent errors to just 0.007%, and demonstrated a median fidelity of 99.25% across 72 parallel CZ gates. The workflow provides an efficient and automated method for quantum computation using superconducting quantum systems, representing a key advance in the field. Automated calibration achieves record fidelity and stability in 84-qubit superconducting processor Error rates for CZ gates dropped to 0.007%, a substantial improvement over previous methods. Comparable fidelity on large processors had previously proved difficult to achieve. Dr. Yunseong Nam and colleagues at the Institute of Quantum Technology utilised a closed-loop workflow, employing diagnostic circuits named ELEA and CAFE, to suppress population leakage and refine gate parameters with unprecedented precision. This process also enhanced the stability of the CZ gate over extended monitoring periods, lasting nine hours, establishing an efficient route to quantum computation with superconducting quantum systems. This breakthrough exceeds 99.9% CZ gate fidelity on an 84-qubit processor, overcoming limitations imposed by increased incoherent errors and demanding calibration requirements as systems scale up. A median fidelity of 99.25% was achieved across 72 concurrent CZ gates, demonstrating the scalability of the automated calibration workflow. This stability was maintained during nine hours of continuous monitoring. Despite these strong advances, maintaining such high fidelity as qubit counts increase further remains a challenge, as does demonstrate error correction beyond these initial two-qubit operations. Scaling automated calibration to enable universal quantum computation CZ gate fidelity exceeding 99.9% represents a vital step towards
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quantum-computingWhite House Quantum Summit Details Over $2.2 Billion in Support for 2028 Fault-Tolerant Computing
The White House hosted the Summit on American Quantum Innovation on July 7, 2026, to begin implementing President Trump’s June 22 Executive Orders on quantum technologies. Federal agencies announced significant funding, including over $2 billion in Commerce Department incentives and up to $200 million from the Defense Innovation Unit for quantum sensing. The Department of Energy is tasked with delivering a fault-tolerant, scientifically relevant quantum computer by 2028, supported by initiatives from the NSF, NSA, and NIST focused on research, supply chains, and manufacturing. These efforts aim to build a resilient US quantum industrial base through public-private partnerships and workforce development. The post White House Quantum Summit Details Over $2.2 Billion in Support for 2028 Fault-Tolerant Computing appeared first on The Qubit Report.
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