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Government Quantum Initiatives: National Programs & Policy

Government quantum news: National Quantum Initiative, quantum policy, EU Quantum Flagship, China quantum. Quantum regulation & programs.

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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.

The Quantum Coast: Meet America’s Top New Tech Hub - Commercial Observerquantum-computing

The Quantum Coast: Meet America’s Top New Tech Hub - Commercial Observer

Along the coast between Silicon Valley and Southern California, another major industry hub is forming for a new kind of technological innovation. Quantum computing utilizes quantum mechanics to vastly expand on traditional binary computing, solving devilishly complex problems exponentially quicker. And, while the technology is in its early stages, the science behind it is in development in Santa Barbara and neighboring Goleta, which are drawing some of the nation’s top tech companies and employers to an area that was known far more for tourism and a large university.SEE ALSO: Marco Caffuzzi of Latham & Watkins: 5 Questions And the rapid pace of development and rosy forecasts for eventual economic effects have already spilled into commercial real estate. Centered around the groundbreaking research at the University of California-Santa Barbara, landlords and investors are positioning themselves around the specialized quantum sector in the region. In March, Colliers helped broker a recapitalization and sale of a 733,000-square-foot tech park portfolio in Goleta to Irvine-based investment firm Praelium. The $235 million trade was one of the largest investment sales ever for Santa Barbara County. In August, Google spent $32.5 million acquiring a pair of buildings on Castilian Drive in Goleta, further expanding its sizable footprint in the area. Along with a flood of Big Tech tenancy creating a cluster of companies near cutting-edge research, these kinds of deals underscore how quantum has become a new type of tech investment play. JLL research rates the Southern California quantum ecosystem, including Santa Barbara, as a more mature one versus that of the Bay Area, and tracks roughly a dozen corporate-owned quantum facilities in the region. Google’s global center for quantum research is also in Goleta, less than 15 minutes from UC-Santa Barbara. Last year, Santa Barbara startups raised $293 million across 35 deals, a 15 percent jump from 2024. “This is a pretty niche

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5 Millionaire-Maker Quantum Computing Stocks to Buy Now - The Globe and Mail
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5 Millionaire-Maker Quantum Computing Stocks to Buy Now - The Globe and Mail

Key PointsIonQ and Quantinuum are leading the charge on accuracy using the trapped-ion technique.D-Wave and IBM are two top companies using the faster superconducting qubit technology.Infleqtion's neutral-atom approach could become the best of both worlds.10 stocks we like better than IonQ ›Quantum computing has the potential to be the next big technological breakthrough after artificial intelligence (AI). Companies in the field are pursuing the technology in various ways, so a basket approach (a collection of small positions across several stocks) may be the best investment option.While it's unlikely that all of them pan out, if one or two do, they could help fuel a millionaire-making portfolio. Let's look at the stocks I'd put in this quantum computing basket.Missed AI’s "Act 1"? Act 2 Could Be 15x Bigger. Most investors think they missed the AI boat because they didn't buy Nvidia in 2005. But according to our analysts, we’re only at the end of "Act 1"—the R&D phase. "Act 2" is the global rollout. Continue »Image source: Getty ImagesIonQThe first stock I'd add to a quantum basket is IonQ(NYSE: IONQ). The company uses the trapped-ion method with the added twist of embedding microwave antennas directly into its chips. This also resulted in the company achieving the best accuracy in the space, with 99.99% two-qubit gate fidelity. It also recently demonstrated what it called "the industry's first end-to-end real-time quantum error correction decoder," a significant milestone as it pushes to create a fault-tolerant quantum system.In addition to its accuracy lead, the company has made a variety of acquisitions across different areas of the quantum ecosystem. It even acquired a quantum foundry that will help it advance prototypes more quickly and scale more easily.QuantinuumAnother top quantum stock in terms of accuracy is Quantinuum(NASDAQ: QNT). It also uses the trapped-ion approach and has recorded 99.92% 2-qubit gate fidelity. With its new Sol system, meanwhile,

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5 Millionaire-Maker Quantum Computing Stocks to Buy Now - Yahoo Finance
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5 Millionaire-Maker Quantum Computing Stocks to Buy Now - Yahoo Finance

5 Millionaire-Maker Quantum Computing Stocks to Buy Now Geoffrey Seiler, The Motley Fool Mon, September 28, 2026 at 7:50 AM EDT 4 min read IONQ +1.11% NVDA +0.22% Quantum computing has the potential to be the next big technological breakthrough after artificial intelligence (AI). Companies in the field are pursuing the technology in various ways, so a basket approach (a collection of small positions across several stocks) may be the best investment option. While it's unlikely that all of them pan out, if one or two do, they could help fuel a millionaire-making portfolio. Let's look at the stocks I'd put in this quantum computing basket. Missed AI's "Act 1"? Act 2 Could Be 15x Bigger. Most investors think they missed the AI boat because they didn't buy Nvidia in 2005. But according to our analysts, we're only at the end of "Act 1"—the R&D phase. "Act 2" is the global rollout. Continue » Image source: Getty Images IonQ The first stock I'd add to a quantum basket is IonQ (NYSE: IONQ). The company uses the trapped-ion method with the added twist of embedding microwave antennas directly into its chips. This also resulted in the company achieving the best accuracy in the space, with 99.99% two-qubit gate fidelity. It also recently demonstrated what it called "the industry's first end-to-end real-time quantum error correction decoder," a significant milestone as it pushes to create a fault-tolerant quantum system. In addition to its accuracy lead, the company has made a variety of acquisitions across different areas of the quantum ecosystem. It even acquired a quantum foundry that will help it advance prototypes more quickly and scale more easily. Quantinuum Another top quantum stock in terms of accuracy is Quantinuum (NASDAQ: QNT). It also uses the trapped-ion approach and has recorded 99.92% 2-qubit gate fidelity. With its new Sol system, meanwhile, it expects to hit 99.999% logical fidelity in 2027.

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5 Millionaire-Maker Quantum Computing Stocks to Buy Now - The Motley Fool
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5 Millionaire-Maker Quantum Computing Stocks to Buy Now - The Motley Fool

Quantum computing has the potential to be the next big technological breakthrough after artificial intelligence (AI). Companies in the field are pursuing the technology in various ways, so a basket approach (a collection of small positions across several stocks) may be the best investment option. While it's unlikely that all of them pan out, if one or two do, they could help fuel a millionaire-making portfolio. Let's look at the stocks I'd put in this quantum computing basket. Image source: Getty Images IonQ The first stock I'd add to a quantum basket is IonQ (IONQ +1.11%). The company uses the trapped-ion method with the added twist of embedding microwave antennas directly into its chips. This also resulted in the company achieving the best accuracy in the space, with 99.99% two-qubit gate fidelity. It also recently demonstrated what it called "the industry's first end-to-end real-time quantum error correction decoder," a significant milestone as it pushes to create a fault-tolerant quantum system. ExpandNYSE: IONQIonQPremium FeatureMoneyball Superscore62/100Today's Change(1.11%) $0.50Current Price$45.48Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$18BMarket 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$44.12 - $46.5552wk Range$25.89 - $84.64Volume1.2MAvg Vol21.3MGross Margin-3317.96% In addition to its accuracy lead, the company has made a variety of acquisitions across different areas of the quantum ecosystem. It even acquired a quantum foundry that will help it advance prototypes more quickly and scale more easily. Quantinuum Another top quantum stock in terms of accuracy is Quantinuum (QNT +0.28%). It also uses the trapped-ion approach and has recorded 99.92% 2-qubit gate fidelity. With its new Sol system, meanwhile, it expects to hit 99.999% logical fidelity in 2027. Quantinuum is also known to have one of the best quantu

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5 Millionaire-Maker Quantum Computing Stocks to Buy Now
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quantum-computing

5 Millionaire-Maker Quantum Computing Stocks to Buy Now

Quantum computing has the potential to be the next big technological breakthrough after artificial intelligence (AI). Companies in the field are pursuing the technology in various ways, so a basket approach (a collection of small positions across several stocks) may be the best investment option. While it's unlikely that all of them pan out, if one or two do, they could help fuel a millionaire-making portfolio. Let's look at the stocks I'd put in this quantum computing basket. Image source: Getty Images IonQ The first stock I'd add to a quantum basket is IonQ (IONQ +1.11%). The company uses the trapped-ion method with the added twist of embedding microwave antennas directly into its chips. This also resulted in the company achieving the best accuracy in the space, with 99.99% two-qubit gate fidelity. It also recently demonstrated what it called "the industry's first end-to-end real-time quantum error correction decoder," a significant milestone as it pushes to create a fault-tolerant quantum system. ExpandNYSE: IONQIonQPremium FeatureMoneyball Superscore62/100Today's Change(1.11%) $0.50Current Price$45.48Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$18BMarket 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$44.12 - $46.5552wk Range$25.89 - $84.64Volume1.1MAvg Vol21.3MGross Margin-3317.96% In addition to its accuracy lead, the company has made a variety of acquisitions across different areas of the quantum ecosystem. It even acquired a quantum foundry that will help it advance prototypes more quickly and scale more easily. Quantinuum Another top quantum stock in terms of accuracy is Quantinuum (QNT +0.28%). It also uses the trapped-ion approach and has recorded 99.92% 2-qubit gate fidelity. With its new Sol system, meanwhile, it expects to hit 99.999% logical fidelity in 2027. Quantinuum is also known to have one of the best quantu

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Restricting Trainable Lie-Algebra Growth in Equivariant Quantum Networks via Hierarchical Ancilla-Controlled Subspace Projectionsquantum-computing

Restricting Trainable Lie-Algebra Growth in Equivariant Quantum Networks via Hierarchical Ancilla-Controlled Subspace Projections

--> Quantum Physics arXiv:2609.30283 (quant-ph) [Submitted on 3 Sep 2026] Title:Restricting Trainable Lie-Algebra Growth in Equivariant Quantum Networks via Hierarchical Ancilla-Controlled Subspace Projections Authors:Ting Li, Zhiming Xiao, Qibiao Tang View a PDF of the paper titled Restricting Trainable Lie-Algebra Growth in Equivariant Quantum Networks via Hierarchical Ancilla-Controlled Subspace Projections, by Ting Li and 2 other authors View PDF HTML (experimental) Abstract:Equivariant quantum networks encode symmetry as an inductive bias, which can improve generalization and may also favor optimization convergence. Equivariance alone, however, does not constrain the noncommuting closure of trainable generators, and this closure can still grow rapidly in symmetry-preserving variational circuits. We introduce a hierarchical ancilla-controlled architecture that addresses this Lie-algebra-growth mechanism. Commuting invariant-sector projectors on the data register select parameterized operations on a shared ancilla register, where the noncommuting trainable dynamics is confined. The trainable circuit decomposes into compatible joint sectors, giving a sector-probability-weighted ancilla response and an explicit view of parameter sharing across hierarchical paths. For an ancilla dimension $d_A=2^m$ and $K_\ell$ retained layer-wise control modes, we prove the group-independent bound $\dim(\mathfrak g)\le (d_A^2-1)\prod_{\ell=1}^{L}(K_\ell+1)$. The bound is polynomial in the number of data qubits when $m$ and $K_\ell$ remain constant along a logarithmic-depth hierarchy. Particle-number and parity projectors illustrate the general construction, while a fixed Clebsch--Gordan coupling tree supplies a concrete $SU(2)$ realization with rotation-invariant scalar outputs. Finite-size state-vector simulations exhibit slower gradient-variance decay and larger initialization gradients than generic and conventional rotationally equivariant circuits over the studied system sizes.

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Quantum-safe algorithms may fail faster with powerful AI tools From SIKEquantum-computing

Quantum-safe algorithms may fail faster with powerful AI tools From SIKE

A cryptographic algorithm once considered a leading candidate for quantum-resistant encryption fell in just one hour on a standard laptop, not to a quantum computer, but to a mathematical insight from 1997. The Supersonic Multivariates Isogeny Key Encapsulation (SIKE) protocol advanced to the fourth round of evaluation by the National Institute of Standards and Technology before mathematicians Wouter Castryck and Thomas Decru connected its structure to Ernst Kani’s decades-old theorem. This collapse highlights a growing vulnerability, as frontier AI systems now possess the capacity to rapidly explore obscure mathematical connections, potentially shortening the window between overlooked weakness and successful attack, according to security leaders. “Years without a successful attack provide evidence, but they cannot establish that every useful mathematical connection has been explored,” the researchers noted. In May 2026, OpenAI reported that an internal model disproved a longstanding conjecture associated with Erdős’s planar unit-distance problem, first posed in 1946. The model applied sophisticated algebraic number theory to a seemingly elementary geometry question, a transfer of ideas between fields that produced a major result. This month, OpenAI announced an AI-generated solution to the Navier-Stokes existence and smoothness problem, unresolved for roughly 90 years, and released both a written proof and a formalization for computer verification. The announcement remains subject to mathematical scrutiny, but the progression is stunning. Frontier systems are now producing research claims against problems that have occupied generations of the best mathematicians. It is certain these capabilities to accelerate the search for overlooked cryptographic weaknesses are being used on a vast scale, especially by intel agencies with enormous grid-straining compute, long before AI made it cool. Would models have independently broken SIKE in hours?

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IonQ Just Announced a Major Breakthrough. Should Investors Buy the Stock Now?quantum-computing

IonQ Just Announced a Major Breakthrough. Should Investors Buy the Stock Now?

Quantum computers have a real problem. Small errors slip into calculations all the time, and catching and fixing them fast enough has been a real issue for the industry. On Tuesday, Sept. 22, IonQ (IONQ +1.11%) said it may have found a solution to this problem. ExpandNYSE: IONQIonQPremium FeatureMoneyball Superscore62/100Today's Change(1.11%) $0.50Current Price$45.48Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$18BMarket 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$44.12 - $46.5552wk Range$25.89 - $84.64Volume27.6MAvg Vol21.3MGross Margin-3317.96% IonQ's statement said it has developed the industry's first end-to-end, real-time quantum error-correction decoder. Even better, this breakthrough runs on a single standard CPU. This gives IonQ a real edge in this highly competitive race. The day after the announcement, IonQ also said its Superion 256 will become the first on-premises quantum processor at Nvidia's (NVDA +0.22%) Accelerated Quantum Research Center. Image source: The Motley Fool. The stock price rose more than 11% on Wednesday, in line with the good news. IonQ remains a high-risk, speculative investment. In particular, the decoder was validated on simulated data rather than in a live system. How commercially viable quantum computing will be in the coming years remains to be seen. IonQ's valuation is also quite rich. It's deeply unprofitable as well. Investors interested in this space should recognize the sector's longer time horizon and volatility. Shares of IonQ have actually fallen more than 40% in the past year. For investors willing to stay invested for the next several years as this nascent sector finds its footing and use cases, this IonQ breakthrough is significant enough to consider buying the stock, in my opinion. Read NextSep 25, 2026 •By Parkev Tatevosian, CFAGreat News for IonQ Stock Investors!Sep 25, 2026

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A 0.11 threshold defines secure quantum data for learningquantum-computing

A 0.11 threshold defines secure quantum data for learning

Jeongho Bang of Yonsei University established a security threshold of η_(BB84)≃0.11 defining acceptable noise levels in a BB84 protocol while still allowing a machine learning model to learn data securely and within a defined sample budget. This number marks a boundary for secure machine learning, connecting the formal framework of probably-approximately-correct (PAC) learning with the practical consideration of data-path security. The research specifically applies this framework to a “BB84-like quantum label path,” linking abstract security theory to the principles of quantum key distribution. The work demonstrates that the quantum component transforms a chosen noise tolerance into a testable security condition by connecting information acquisition to measurable disturbance. PAC Learning with Budget Constraints Defines Secure Quantum Data A security threshold of 0.11 was established by the research, creating a novel connection between concepts rarely linked in existing frameworks. This operational theory of secure learning centers on an explicit stopping time, combining a trained hypothesis reaching target accuracy with a validation gate halting within a finite sample budget. The work derives a closed-form requirement for this combined PAC-within-budget guarantee, operating under an admissible random-classification-noise channel. Under assumptions of ideal single-qubit operation, authenticated classical channels, memoryless systems, basis symmetry, collective attacks, asymptotic behavior and one-way reconciliation, the standard Holevo bound provides a protocol-specific information-advantage criterion. According to the paper published in Quantum Science and Technology, “The quantum layer is not invoked to reduce distribution-free PAC sample complexity; rather, it turns a designer-chosen classical noise tolerance into a physically testable, protocol-dependent security condition by linking information acquisition to observable disturbance.” Below the ηBB84≃0.11 thresh

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IBM just cut quantum error-correction overhead by 63x — without adding a single qubit.quantum-computing

IBM just cut quantum error-correction overhead by 63x — without adding a single qubit.

A few things stand out: - The gain came from combining error detection with probabilistic error cancellation, modeling faults by where and when they occur. - Validated experimentally on a 27-qubit processor in a real physics simulation, not a whiteboard claim. - It's a software win, meaning existing near-term hardware gets meaningfully more useful without a hardware refresh cycle. If software techniques keep closing the gap this fast, does "we need more qubits" stop being the honest bottleneck story? submitted by /u/Objective_Status_934 [link] [comments]

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D-Wave shows both annealing and gate-model quantum systems at Congressquantum-computing

D-Wave shows both annealing and gate-model quantum systems at Congress

D-Wave Quantum Inc. is positioning itself in the growing quantum computing field, showcasing both its annealing and gate-model systems at Quantum World Congress 2026, September 23-25 in College Park, Maryland. The company, listed on Nasdaq as QBTS, will highlight existing customer applications of its annealing technology alongside progress in its dual-rail gate-model architecture, designed to simplify quantum error correction, D-Wave says. “In our view, quantum computing is not a single-architecture race,” says D-Wave chief science officer Robert Schoelkopf, “and it will not be won by qubit counts alone.” Schoelkopf will deliver a plenary address Friday outlining the company’s dual-platform strategy for tackling computationally complex challenges. D-Wave’s Dual-Platform Strategy: Annealing and Gate-Model Systems This architecture focuses on reducing the complexity of quantum error correction, an important step toward enabling applications like quantum chemistry and materials simulation. Executives from D-Wave will participate in multiple discussions, including a plenary address by chief science officer Robert Schoelkopf titled “From Innovation to Utility: The Quantum Era Takes Shape with Two Platforms.” Schoelkopf will detail D-Wave’s annealing and gate-model technologies, asserting the need for both approaches to tackle computationally complex problems. Senior vice president of global government relations and public affairs, Allison Schwartz will join the panel “Quantum You Can See: Real Use Cases, Real Impact,” highlighting practical quantum computing applications improving everyday services. She will also participate in “Quantum Policy from the Inside: How Industry Is Shaping the Federal Agenda,” examining policies and partnerships needed to accelerate quantum adoption and strengthen U.S. leadership. Schwartz will advocate for a strategy supporting long-term research while also accelerating near-term application development, procurement, and deployment. “D-Wave i

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DRDO and startup build 20 mK refrigerator for quantum computersquantum-computing

DRDO and startup build 20 mK refrigerator for quantum computers

Defence Research and Development Organisation has partnered with Zero mK India Private Limited, Alwar, Rajasthan, to indigenously develop a dilution refrigerator capable of reaching 20 millikelvins. This collaboration marks the first high-value agreement under a Rs 500 crore corpus approved by Raksha Mantri Shri Rajnath Singh for deep-tech projects. Such ultra-low temperatures are essential for operating quantum computing platforms and represent a step toward a self-reliant quantum ecosystem. “This will contribute towards reducing dependence on imported cryogenic infrastructure and strengthening the domestic quantum technology ecosystem,” the source states. TDF Scheme Funds 20 mK Dilution Refrigerator Development The agreement, signed between DRDO’s TDF directorate and Zero mK India, signifies a focused investment in quantum technologies and associated cryogenic infrastructure. Dilution refrigerators are essential for maintaining the extremely low temperatures required for the operation and testing of quantum computing platforms, and this domestically produced system aims to reduce reliance on imported cryogenic equipment. The project directly supports the National Quantum Mission, strengthening India’s capabilities in quantum technology, advanced cryogenics, and strategic technologies, ultimately fostering a self-reliant quantum ecosystem. Source: pib.gov.in Shri Rajnath Singh expressed confidence that this collaboration will be a model for future partnerships between DRDO and private industry in emerging technology areas. Defence Secretary and DRDO Chairman Shri Rajesh Kumar Singh extended his congratulations to the teams involved, wishing them success in achieving the project’s objectives. The project is being overseen and supported by the Director of Solid State Physics Laboratory and their team, with oversight provided by DG MCC and DG TM. Source: https://www.pib.gov.in/PressReleasePage.aspx?PRID=2314536 More like thisQuantum Computing Business NewsD-Wave shows

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DOE and Connected DMV test quantum solutions for grid resiliencequantum-computing

DOE and Connected DMV test quantum solutions for grid resilience

Qtyche was named the winning team in a Department of Energy challenge designed to test quantum solutions for increasing strain on the nation’s power grid. The challenge, part of the 2026 Global Industry Challenge hosted by Connected DMV, tasked teams with applying quantum and hybrid computing to optimize energy storage and microgrid deployment amid increasing electricity demand from data centers and advanced manufacturing. “Leadership in emerging technologies requires rigorous testing against real-world problems and a clear understanding of both their capabilities and their limitations,” said Anthony Pugliese, Chief Commercialization Officer and Director of the DOE Office of Technology Commercialization. The resulting performance benchmarks will serve as reference points for tracking progress in quantum computing as the technology matures. Quantum and Hybrid Approaches Benchmarked for Grid Planning The winning team in the Department of Energy challenge, Qtyche, successfully executed its approach using both quantum hardware and simulation environments to address a complex grid planning problem. Growing electricity demand from data centers, advanced manufacturing facilities, and large industrial operations drove the need for innovative solutions to optimize energy storage deployment and microgrid capacity, a challenge the DOE specifically designed to test emerging computing paradigms. Source: energy.gov These benchmarks will allow researchers to track relevance as the field moves toward fault-tolerant quantum computing, a critical step for practical applications. Connected DMV engaged over 600 applicants from more than 50 countries throughout the three phases of the competition, highlighting the global interest in applying quantum computing to real-world infrastructure challenges. Tom Touchet, Interim CEO of Connected DMV, said, “Our partnership with the U.S. Department of Energy is critical to this effort.” The DOE Office of Technology Commercialization led both the

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Department of Energy SCAC report charts path to error-corrected quantum computersquantum-computing

Department of Energy SCAC report charts path to error-corrected quantum computers

Fermilab chief technology officer Anna Grassellino chaired the Quantum Subcommittee responsible for a new report charting a course toward error-corrected quantum computers, signaling the Department of Energy’s commitment to national quantum computing strategy. The “SCAC Quantum Committee Report: Path to an Integrated Quantum Future” draws on input from hundreds of contributors across academia, industry, and federal agencies, and proposes a shift from hardware-centric goals to measuring success by scientific utility. “Our goal is not simply to build the largest quantum computer; it is to solve problems that are otherwise completely intractable,” states the report, outlining a phased approach to achieve this by 2028. SCAC Roadmap Prioritizes Scientific Utility Over Hardware Metrics This broad collaboration informed the recommendations detailed in the report, signaling a unified approach to advancing quantum capabilities. The report proposes a shift in focus from solely pursuing larger quantum computers to demonstrating tangible scientific utility, a concept articulated by the Department of Energy as a key priority for the future. This milestone-driven roadmap aims to integrate quantum systems with existing DOE infrastructure, including high-performance computing resources and artificial intelligence capabilities. To achieve scientifically useful quantum computers, the SCAC recommends a three-phased framework aligned with the national Quantum Genesis Initiative. Phase I, spanning 2026 to 2028, will establish multidisciplinary pairings of National Labs, universities, and industry to co-design hardware, algorithms, and software. These challenges will drive progress toward specific, milestone-driven scientific targets by 2028. The Department of Energy views this as a historic inflection point and anticipates the United States will lead the next era of discovery through this strategic approach. The SCAC report confirms what many in the scientific community have felt and la

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

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

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

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Intel CEO Lip-Bu Tan Is Impressed By Photonic Quantum Computing – Says He Now Leans on AI Agents to Do His “Homework” - Wccftechquantum-computing

Intel CEO Lip-Bu Tan Is Impressed By Photonic Quantum Computing – Says He Now Leans on AI Agents to Do His “Homework” - Wccftech

Intel's CEO Lip-Bu Tan Intel CEO Lip-Bu Tan believes that for quantum computing to be viable, companies have to address market areas with actual demand. The executive discussed quantum computing and how he uses artificial intelligence, among other topics, in the QuantumJane podcast, where he revealed that he had actually invested in quantum computing companies with his own funds instead of the funds of a venture capital firm that he ran. Intel CEO Lip-Bu Tan Silicon Carbide, Indium Phosphide, Microfluidic Cooling & Artificial Diamonds Might Turn Out To Be Technologies Of The Future Tan started the discussion by outlining how he has come to rely on agentic AI. The Intel CEO has been quite optimistic about agentic AI, and in the firm's earnings calls, has been hopeful about its ability to spur demand for CPUs in the ongoing buildout of AI infrastructure. When asked how he uses AI, Tan outlined that while he can't recall how many AI agents he uses, he nevertheless relies on them to "do all the homework." Related Story Intel’s LGA 1954 Socket Parts Surface On AliExpress For $16 As Nova Lake-S Production Edges CloserThen, the first thing in the morning he does is to look at the agents' progress. Calling agents "amazing," the Intel CEO added that it helps him reduce the number of assistants needed to do his research. As opposed to 'traditional' AI, which typically refers to large language models (LLMs) such as ChatGPT and Grok, agentic AI relies on autonomous decision-making to set goals and execute actions. These models are quite pricey, with SpaceXAI's Grok Bot available as part of bundles costing up to $300 per month. A screen grab from SpaceXAI's website showing its agent offering. Image: xai.com Intel CEO Lip-Bu Tan Used His Own Money To Invest In Quantum Computing Companies With the conversation shifting to quantum computing, Tan outlined that the first quantum computing he had invested in was IonQ. IonQ calls itself a trapped ion quantum computing firm. Instead

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Researchers Prove Additivity Links Rényi Divergences to a Minimum Formquantum-computing

Researchers Prove Additivity Links Rényi Divergences to a Minimum Form

Defining multivariate quantum Rényi divergences presents a key challenge due to the non-commutativity of quantum states; existing approaches often lack explicit expressions or fail to align with operationally relevant quantities in simpler cases. Inspired by classical representations, researchers at Budapest University of Technology and Economics have provided an explicit expression for regularized barycentric Rényi divergences, a new way to define these essential mathematical tools. A key property concerning barycentric Rényi divergences has been proven, mathematical tools used to compare multiple quantum systems simultaneously. These divergences are built upon quantum relative entropies; previously, confirming whether they behave predictably when combining these systems required verifying additivity using only one specific type of entropy. The team proved this additivity holds true for any suitable combination of quantum relative entropies, simplifying calculations and broadening theoretical understanding of complex relationships within quantum mechanics. The researchers have refined how we measure informational differences between multiple interconnected quantum particles or systems; these are known as barycentric Rényi divergences. These divergences build upon concepts called quantum relative entropies, a way of quantifying how one quantum state differs from another, analogous to imagining a series of filters transforming audio data while preserving its core quality. The team’s work centres on proving an important characteristic: that combining independent quantum systems should predictably alter their overall informational difference, much like adding more ingredients to a recipe doesn’t change what you’re making but simply the quantity produced. Establishing this ‘additive property’ has been challenging until now, with previous proofs limited to specific scenarios; however, it applies broadly across various types of these essential mathematical tools and expli

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Does IonQ's NVIDIA Quantum Tie-Up Reframe the Long-Term Hardware Opportunity for Rigetti Computing (RGTI)? - Yahoo Financequantum-computing

Does IonQ's NVIDIA Quantum Tie-Up Reframe the Long-Term Hardware Opportunity for Rigetti Computing (RGTI)? - Yahoo Finance

Does IonQ's NVIDIA Quantum Tie-Up Reframe the Long-Term Hardware Opportunity for Rigetti Computing (RGTI)? Sasha Jovanovic Fri, September 25, 2026 at 5:07 PM EDT 3 min read 2 RGTI +0.97% IONQ +1.11% NVDA +0.22% In recent days, IonQ announced it will deploy its Superion 256 quantum processor at NVIDIA's Accelerated Quantum Research Center, showcasing deeper integration between quantum and AI infrastructure. This milestone has drawn fresh attention to peers like Rigetti Computing, as investors reassess the longer-term commercial potential of quantum hardware platforms beyond the companies directly involved. Next, we'll explore how IonQ's NVIDIA deployment highlights Rigetti's own government-backed quantum ambitions and what that means for its investment narrative. Uncover the next big thing with 8 elite penny stocks that balance risk and reward. What Is Rigetti Computing's Investment Narrative? To own Rigetti today, you have to believe that early quantum hardware adoption, anchored by government and research customers, can eventually justify a business that is still small, unprofitable and volatile. The IonQ and NVIDIA announcement puts a fresh spotlight on hybrid quantum and AI infrastructure, but for Rigetti it mainly reinforces an existing thesis rather than creating a new near term catalyst. Its more tangible drivers still look like execution on CHIPS Act milestones, ramping deployments of systems like Cepheus and Novera, and converting US$13.35 million of annual revenue into a more repeatable, higher margin base. At the same time, rich price to book, insider selling, and a Zacks Rank of 5 sit uncomfortably beside recent share price swings, keeping valuation risk front and center. Upon reviewing our latest valuation report, Rigetti Computing's share price might be too optimistic. Exploring Other Perspectives RGTI 1-Year Stock Price Chart Twelve Simply Wall St Community fair value views range from below US$1 to US$40, underscoring how far apart expectations sit.

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DOE releases national quantum computing roadmap following field-wide effort led by SCAC subcommitteequantum-computing

DOE releases national quantum computing roadmap following field-wide effort led by SCAC subcommittee

Editor’s note: The following article was originally published by the U.S. Department of Energy Office of Science. Fermilab played a key leadership role in developing the SCAC Quantum Committee Report. Anna Grassellino, Fermilab chief technology officer and associate laboratory director for the Technology Directorate, chaired the Quantum Subcommittee and Supratik Guha, professor at the University of Chicago’s Pritzker School of Molecular Engineering, served as vice chair. Together with the subcommittee, they led an extensive stakeholder-engagement process that drew perspectives from national laboratories, academia, industry and federal agencies, informed by input from hundreds of contributors across the U.S. quantum ecosystem. The report lays out a science-first, milestone-driven roadmap toward demonstrating scientific utility from quantum computing, while building toward the integration of quantum systems with the DOE labs’ research infrastructure, high-performance computing and artificial intelligence. Fermilab thanks the SCAC Quantum Subcommittee members and the many quantum researchers and stakeholders who contributed their time, ideas and expertise. With this report as a foundation, Fermilab looks forward to working alongside partners across the national quantum ecosystem toward an integrated quantum future and the next era of scientific discovery. Every major shift in technology promises to redefine the boundaries of discovery. Quantum computing is rapidly transitioning from a phase of fundamental laboratory research into a scientifically revolutionary capability. As this technology races forward, we need a clear, defined path to success. That is why I charged the Office of Science Advisory Committee (SCAC) Quantum Subcommittee with an ambitious task: to chart a milestone-driven roadmap toward demonstrating a scientifically relevant, error-corrected quantum computer by 2028, and to articulate a long-term vision for a dedicated Quantum Computing User Facili

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DOE Looks to Build Quantum Computing Into National Research Utility - meritalk.comquantum-computing

DOE Looks to Build Quantum Computing Into National Research Utility - meritalk.com

Details By: Lisbeth Perez Sep 25, 2026 3:19 pm DOE Looks to Build Quantum Computing Into National Research Utility Energy Department science chief Darío Gil said the department wants to develop national user facilities that would give researchers broader access to advanced quantum computing. The Department of Energy (DOE) is looking to build national quantum computing user facilities that would give researchers broad access to advanced systems as the technology matures. Speaking at the Quantum World Congress on Sept 25, DOE Under Secretary for Science Darío Gil said the department wants to build on its five National Quantum Information Science Research Centers by developing quantum computing user facilities modeled on infrastructure that DOE already makes available to the research community. “We absolutely want to see a situation where we … go beyond the current five centers that we support … into a future where we have these user facilities,” Gil said. “And as long as there is computing, there will be quantum computing present in that journey.” The approach would extend DOE’s existing user-facility model – which provides researchers access to high-performance computing systems, light sources, particle accelerators, and other specialized scientific infrastructure – into quantum computing. Rather than focusing solely on individual quantum systems, Gil described a future in which researchers could gain broader access to quantum computing capabilities through DOE’s scientific infrastructure. Gil pointed to artificial intelligence (AI) as an example of the access gap that DOE wants to avoid as quantum technology advances. “In AI, we find ourselves in a situation that while the private sector has the best AI supercomputers in the world, it is not the case that that is present in academia or in the national laboratories,” Gil said. “And therefore we end up with this asymmetry of capability.” Gil said DOE wants to “enable the whole ecosystem to be healthy and not end up in

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