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-computingBell State Analysis Provides an Optimal Basis Saturating the Quantum Cramer-Rao in Rotation Sensing
--> Quantum Physics arXiv:2605.24108 (quant-ph) [Submitted on 22 May 2026] Title:Bell State Analysis Provides an Optimal Basis Saturating the Quantum Cramer-Rao in Rotation Sensing Authors:Zhuoran Bao, Daniel F. V. James View a PDF of the paper titled Bell State Analysis Provides an Optimal Basis Saturating the Quantum Cramer-Rao in Rotation Sensing, by Zhuoran Bao and Daniel F. V. James View PDF Abstract:The second-order anti-coherent state of light is known to saturate the Cramer-Rao Bound (QCRB) for rotation sensing around an arbitrary axis. However, due to the complexity of the state and the inefficiency of state tomography, parameter extraction remains an open problem. In this manuscript, we approach the problem of parameter extraction using pair-wise Bell state analysis with an additional path degree of freedom. Due to the transformation property of rotation, only the symmetric Bell states will show up in projection in the final state. We exploit this advantage to develop a scheme for extracting the rotation angle for N=4 and N=6 second-order anti-coherent states. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.24108 [quant-ph] (or arXiv:2605.24108v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.24108 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Zhuoran Bao [view email] [v1] Fri, 22 May 2026 18:16:01 UTC (17 KB) Full-text links: Access Paper: View a PDF of the paper titled Bell State Analysis Provides an Optimal Basis Saturating the Quantum Cramer-Rao in Rotation Sensing, by Zhuoran Bao and Daniel F. V. JamesView PDFTeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2026-05 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Cita
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quantum-computingQuantum-Adaptive KS($\varphi$): A Parameterized Three-Qubit Gate Family Embedding Toffoli with Measurement-Free Phase Kickback and Intrinsic Error Non-Amplification
--> Quantum Physics arXiv:2605.24182 (quant-ph) [Submitted on 22 May 2026] Title:Quantum-Adaptive KS($φ$): A Parameterized Three-Qubit Gate Family Embedding Toffoli with Measurement-Free Phase Kickback and Intrinsic Error Non-Amplification Authors:Kripa Sankaranarayanan, Marek Perkowski View a PDF of the paper titled Quantum-Adaptive KS($\varphi$): A Parameterized Three-Qubit Gate Family Embedding Toffoli with Measurement-Free Phase Kickback and Intrinsic Error Non-Amplification, by Kripa Sankaranarayanan and 1 other authors View PDF Abstract:We introduce Quantum-Adaptive KS($\varphi$) ($K$ = kickback, $S$ = sandwich), a parameterized three-qubit gate family that structurally embeds the Toffoli (CCX) gate within two additional components: (1)a palindromic Hadamard sandwich on the first control qubit $q_0$ that conjugates $Z$-type errors to $X$-type in the CCX frame, providing simultaneous sensitivity to both error types without ancilla overhead; and (2)a controlled-phase (CP) gate whose quantum phase kickback propagates post-CCX target-state information into the control-qubit phase without measurement. The term Quantum- Adaptive refers to amplitude steering conditioned by the compile-time parameter $\varphi$ via a Quantum Neural Cellular Automaton (QNCA) majority-inspired bias rule; the gate does not self-modify at runtime. Two QA-KS($\pi$) gates chained on a shared control qubit $q_0$ produce outputs completely orthogonal to two sequential CCX gates on $q_0$=1 inputs (output fidelity F=0.000), while agreeing exactly on $q_0$=0 inputs (F=1.000). This subspace-dependent divergence is the direct computational signature of coherent phase retention across gate boundaries -- impossible for CCX-only circuits. On the $q_1$ = 0 subspace the gate acts deterministically (up to a relative phase), providing intrinsic error non-amplification. On the $q_1$ = 1 subspace it produces four-component entangled superpositions, making it a strictly distinct quantum-native primitive from
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quantum-computingSelf-Generated Chiral Rotation in Whispering-Gallery Optomechanics
--> Quantum Physics arXiv:2605.24185 (quant-ph) [Submitted on 22 May 2026] Title:Self-Generated Chiral Rotation in Whispering-Gallery Optomechanics Authors:Mohamed Hatifi View a PDF of the paper titled Self-Generated Chiral Rotation in Whispering-Gallery Optomechanics, by Mohamed Hatifi View PDF HTML (experimental) Abstract:Backscattering in whispering-gallery-mode resonators is usually a passive mode-splitting mechanism produced by a fixed defect. Here, we show that, when the backscatterer is a mechanical angular degree of freedom, the same process becomes an angular-recoil backaction channel capable of generating chirality under reciprocal driving. A localized movable scatterer coherently converts photons between clockwise and counterclockwise whispering-gallery modes, transferring angular recoil in each circulation-changing event. In a weak-scattering driven-dissipative model, reciprocal bidirectional pumping gives zero net torque at rest, but rotation Doppler-shifts the two opposite scattering rates in opposite directions. For suitable detuning, this feedback produces negative angular friction, destabilizes the nonrotating reciprocal state, and selects one of two symmetry-related steady rotations. The threshold scales inversely with the square of the WGM azimuthal index. The mechanically chiral state produces a direction-dependent weak-probe response, visible as a Doppler splitting of the backscattered spectra, turning passive WGM mode splitting into a minimal mechanism for autonomous chiral optomechanics. Subjects: Quantum Physics (quant-ph); Chaotic Dynamics (nlin.CD); Optics (physics.optics) Cite as: arXiv:2605.24185 [quant-ph] (or arXiv:2605.24185v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.24185 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Mohamed Hatifi [view email] [v1] Fri, 22 May 2026 20:24:18 UTC (4,374 KB) Full-text links: Access Paper: View a PDF of the paper ti
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quantum-computingDistinguishing Bohmian contextuality from Kochen-Specker contextuality
--> Quantum Physics arXiv:2605.24446 (quant-ph) [Submitted on 23 May 2026] Title:Distinguishing Bohmian contextuality from Kochen-Specker contextuality Authors:Anton Skott, Jan-Åke Larsson View a PDF of the paper titled Distinguishing Bohmian contextuality from Kochen-Specker contextuality, by Anton Skott and Jan-{\AA}ke Larsson View PDF HTML (experimental) Abstract:Quantum contextuality is a concept used to describe the property of hidden-variable theory that measurement outcomes predetermined by the hidden variables depend on the measurement context. The term measurement context can have different meanings, giving rise to different flavours of quantum contextuality. The first discovered flavour is Kochen-Specker (KS) contextuality where measurement outcomes will depend on what compatible measurements are jointly performed with the selected measurement. Another flavour, here to be compared with KS contextuality, is that referred to in Bohmian mechanics where outcomes of some specific measurements are not completely specified by the model state, but depend also on specifics of the measurement device used. It has been claimed that this type of Bohmian contextuality is necessary to enable KS contextuality in a hidden variable model. In this paper we show that this is not the case. The recently proposed Contextual Ontological Model (COM) [Hindlycke and Larsson, Phys. Rev. Lett. 2022] produces KS contextual predictions but does not have the Bohmian contextuality; the outcome of every measurement allowed by COM can be predicted from the model state itself. This distinguishes Bohmian contextuality from KS contextuality, and enables individual study of the two concepts. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.24446 [quant-ph] (or arXiv:2605.24446v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.24446 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jan-Åke Larsson [v
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quantum-computingUS DOE's metrics for FTQC
US Department of Energy has sort of laid out like a bar for measuring Fault Tolerance in Quantum Computing and I have no clue how they are arriving at these numbers, they themselves said they need feedback from the vendors also about these numbers. It seems very unscientific that's all. Instead can't they just talk about an algorithm and a result which only one can get with FTQC and then determine whether it's truly FTQC or not? Here is the linkedin link for reference - https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fbuff%2Ely%2FDhtAbdx&urlhash=xVZb&mt=FIiKwftpnwwhu0TCBxu7HdvQjaQ5FMPzyt\_JOldt2h0T0KvGbBJHGuhECU0qG9t3jftlBwRCn8E9wflT4Z\_jaCTtmx2lDC4cMtyeu4XEOADyFBfEH2VAHmM\_Gw&isSdui=true submitted by /u/FitPlastic9437 [link] [comments]
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quantum-computingPodcast with Klea Dhimitri of Hamamtsu Photonics
Klea Dhmitri of Hamamatsu joins Yuval to discuss the company’s role as a photonic component provider for trapped-ion and neutral-atom quantum computers. She explains key technologies such as photomultiplier tubes (PMTs), SPADs, and quantitative CMOS cameras, and how scaling to larger qubit arrays changes requirements for speed, resolution, and integration. Klea also shares how customer demand is pushing product innovation, reflects on her unconventional path into quantum, and offers advice for those looking to build careers in photonics and quantum technologies. Transcript Yuval: Hello, Klea. Thank you for joining me today. Klea: Hi, Yuval. I’m glad to be here. Yuval: So who are you and what do you do? Klea: Hi, yes, happy to introduce myself. So I’m Klea Dhmitri and I work for Hamamatsu Corporation, which is the North American subsidiary of Hamamatsu Photonics. And I will be with Hamamatsu eight years in June. And what I do here is I lead our quantum computing and quantum communication project here in North America. And so what that means is I engage a lot with the community in helping, you know, folks from academia to industry find solutions of the product, help them find photonic solutions of the current products that they’re building, but also keeping in mind their next generation. And this is really where I work closely with our R&D colleagues in Japan and bringing these maybe R&D or prototype solutions and detection, modulation, and even lasers to these customers. And I also do a lot of marketing as well. So you’ll find me at trade shows, doing webinars, and really creating content that explains where Hamamatsu plays in this space. And so maybe a bit of a sort of a fun tidbit is actually this role in this project did not exist when I joined the company. So it was a bit serendipitous. So I’m happy to jump into that later in the conversation if you’d like to learn more. Yuval: What kind of components does Hamamatsu provide to qua
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quantum-computingAI-Run Robot Lab Creates Graphene And Builds Quantum Devices
Insider Brief An autonomous quantum materials research system has taken a step toward turning AI from a digital assistant into a physical laboratory scientist by autonomously creating graphene and fabricating atomically thin transistors inside a robotic mini-lab, according to a new study from researchers at Princeton University and collaborators. The system, described in a paper […]
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quantum-computingEstimating Green's functions with a robust quantum Arnoldi method
--> Quantum Physics arXiv:2605.22920 (quant-ph) [Submitted on 21 May 2026] Title:Estimating Green's functions with a robust quantum Arnoldi method Authors:Jacob S. Nelson, Andrew B. Baczewski View a PDF of the paper titled Estimating Green's functions with a robust quantum Arnoldi method, by Jacob S. Nelson and Andrew B. Baczewski View PDF HTML (experimental) Abstract:Many applications of Green's functions (GFs) require their evaluation over intervals or at multiple points, motivating quantum algorithms that return an efficiently computable functional representation rather than mere point estimates. We introduce a robust quantum Arnoldi method (ROQAM) that achieves this goal. Its robustness is derived from formulation in terms of orthogonal polynomials, which preserves the upper-Hessenberg structure of the projected matrices despite finite-precision estimation. We also show that as the iteration depth increases, the precision required for matrix-element estimation can be reduced. Resource estimates for the spectral function of a quantum impurity model indicate that ROQAM outperforms pointwise estimation via quantum singular value transformation by multiple orders of magnitude. Finally, we show that the ROQAM can be used to estimate GFs at nonzero temperatures using only a single Krylov subspace. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.22920 [quant-ph] (or arXiv:2605.22920v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.22920 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jacob Nelson [view email] [v1] Thu, 21 May 2026 18:00:41 UTC (1,108 KB) Full-text links: Access Paper: View a PDF of the paper titled Estimating Green's functions with a robust quantum Arnoldi method, by Jacob S. Nelson and Andrew B. BaczewskiView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2026-05 Referen
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quantum-computingClassical State Preparation for Variational Quantum Algorithms via Reinforcement Learning
--> Quantum Physics arXiv:2605.23138 (quant-ph) [Submitted on 22 May 2026] Title:Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning Authors:Gino Kwun, Dhanvi Bharadwaj, Gokul Subramanian Ravi View a PDF of the paper titled Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning, by Gino Kwun and 2 other authors View PDF HTML (experimental) Abstract:Variational Quantum Algorithms (VQAs) potentially offer a pathway to practical quantum advantage, but their optimization is heavily hindered by barren plateaus and numerous local minima. While classically simulable Clifford circuits can warm-start VQAs to accelerate convergence, existing heuristic-based initialization methods struggle to scale within vast combinatorial search spaces. To overcome this bottleneck, we propose CRiSP (a Clifford Reinforcement Learning agent for State Preparation), a framework that formulates discrete prefix selection as a sequential decision-making problem. CRiSP utilizes Neural-Guided Monte Carlo Tree Search, driven by a Transformer-based policy trained via self-play, to insert learned Clifford gates before fixed parameterized rotations. This enables the construction of high-quality initial states entirely through polynomial-time classical stabilizer simulation without altering the underlying circuit architecture. By integrating a curriculum learning strategy that progressively expands the search horizon, the agent efficiently scales to deep circuits. Evaluated on QAOA benchmarks of up to $22$ qubits and $1{,}370$ parameters, CRiSP outperforms state-of-the-art Clifford initialization methods by a mean of $3.17\times$ (max $45.02\times$) in average energy accuracy and $2.44\times$ (max $16.01\times$) in best-achieved energy accuracy. Assessments on VQE tasks further demonstrate the framework's robustness and generalizability. Comments: Subjects: Quantum Physics (quant-ph); Artificial Intelligence (cs.AI); Emerging Technol
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quantum-computing2 Quantum Computing Stocks That Are Further Along Than Anyone Is Giving Them Credit For
Quantum computing promises to be one of the next big things in technology, and that's prompted many growth investors to pile into the industry. But when we think "next big thing," that doesn't necessarily mean tomorrow or even a year or two from now. One thing that's held some investors back from getting in on this high-potential technology is the idea that its usefulness may be many years or even decades away. Even experts haven't always been certain about when this exciting technology might become part of our daily lives. Early last year, Nvidia chief Jensen Huang said quantum computing was decades away from the point of being very useful. A few months later, Huang said otherwise and even announced the creation of a quantum computing research center. And Microsoft (MSFT 0.06%) co-founder Bill Gates said last year that the technology might be ready to solve big problems in three to five years. The reason it's taking a while for quantum computing to become very useful is due to the complexity of the technology. It involves using qubits for calculations rather than the bits used by classical computers -- and qubits are fragile and often difficult to scale up. But there's reason to be optimistic about the progress of certain companies. In fact, two quantum stocks are further along than anyone is giving them credit for. Let's check them out. Image source: Getty Images. 1. Microsoft You probably know Microsoft well for its software suite, including popular products like Word and Excel, and you might even be familiar with the company's cloud computing business. These are major engines, driving years of revenue and profit growth -- and this has translated into returns for investors, too, with the stock rising 700% over the past decade. ExpandNASDAQ: MSFTMicrosoftToday's Change(-0.06%) $-0.24Current Price$418.85Key Data PointsMarket Cap$3.1TDay's Range$416.35 - $424.4052wk Range$356.28 - $555.45Volume1.3MAvg Vol34.1MGross Margin68.31%Dividend Yield0.85% But, while Microsof
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quantum-computingSurveying the California Quantum Ecosystem - Quantum Computing Report
Surveying the California Quantum Ecosystem Quantum Computing Report
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quantum-computingWe built a free reference site for the Colorado quantum ecosystem. Feedback welcome.
Based in Denver. We have been building themillikelvin.com, a free resource site covering the Colorado quantum ecosystem. What is on the site: An interactive ecosystem map covering the relationships between companies, research institutions, and investors on the Front Range. A company directory with structured profiles for every major Colorado quantum organization. A quantum valley timeline from NIST Boulder's founding in 1954 to this week's CHIPS Act announcement. Four Nobel Prizes along the way: Cornell and Wieman's BEC in 2001, Hall's frequency combs in 2005, Wineland's trapped ions in 2012. A qubit technology comparison across modalities. An event calendar for Colorado quantum events updated weekly. The timing felt right to share. Three Colorado companies received $100 million each in federal equity investment on Thursday. France announced €1 billion in new quantum investment Friday. The ecosystem the site covers is moving fast. Everything on the site is free (themillikelvin.com/quantum-valley) Feedback welcome, especially from people who work in or near this ecosystem and can tell me what is missing. submitted by /u/theweeklychai [link] [comments]
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quantum-computingUncle Sam's $2B Quantum Gift: Buy D-Wave, Skip Rigetti
Uttam Dey6.5K FollowersFollow5ShareSavePlay(9min)CommentsSummaryD-Wave Quantum (QBTS) is rated Buy, benefiting from the US DoC's $2B quantum industry investment, while Rigetti Computing (RGTI) remains Hold.The $2B federal funding, distributed as cash-for-equity across 9 companies, signals a strategic shift and accelerates US quantum industry development.QBTS stands out with a ~2000% backlog growth, unique quantum annealing approach, and a more attractive ~9x forward book value multiple versus RGTI's 14-15x.Risks include potential shareholder dilution, non-binding funding agreements, and a 6–18 month timeline before capital deployment. koto_feja/E+ via Getty Images Investment Thesis The US government announced a landmark $2B sovereign funding scheme that will see the US Commerce Dept. invest $2B worth of grants and equity throughout America’s quantum computing industry. The news, confirmed by theThis article was written byUttam Dey6.5K FollowersFollowUttam is a growth-oriented investment analyst whose equity research primarily focuses on the technology sector. Semiconductors, Artificial Intelligence and Cloud software are some of the key sectors that are regularly researched and published by him. His research also focuses on other areas such as MedTech, Defense Tech, and Renewable Energy. In addition, Uttam also authors The Pragmatic Optimist Newsletter along with his wife, Amrita Roy, who is also an author on the newsletter as well as on this platform. Their newsletter gets regularly cited by leading publications such as the Wall Street Journal, Forbes, etc. Prior to publishing his research, Uttam worked in Silicon Valley, leading teams for some of the largest technology firms in the world, including Apple and Google.Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am
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quantum-computingEPB Partners with UTC to Expand Quantum Workforce Development and Economic impact
Insider Brief PRESS RELEASE — The EPB Board of Directors today approved a resolution to provide new support to expand academic and research leadership at the University of Tennessee at Chattanooga and to create new pathways for quantum research commercialization. The partnership will strengthen Chattanooga’s growing quantum ecosystem by expanding workforce development, advancing applied quantum research, and accelerating efforts […]
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quantum-computingQuestions About Quantum
MV Financial1.06K FollowersFollow5ShareSavePlay(5min)CommentsSummaryAs mind-bendingly counterintuitive as the subject is, though, it is showing up in all kinds of technological spaces these days. Including the stock market.Which of the various technologies being tried out today will get to that big milestone of an industrial-size quantum computer with acceptable levels of interference?Steady progress is being made, though, and along with the potential benefits from quantum computing in areas such as drug discovery, there are plenty of threats. John D/iStock via Getty Images Nobody understands quantum mechanics. That’s according to the late Richard Feynman, and as one of the greatest physicists of the twentieth century, he was in a good position to opine on the subject. AsThis article was written byMV Financial1.06K FollowersFollowMV Financial is a Washington DC-area asset manager offering investment advisory services through MV Capital Management, a Registered Investment Advisor. We specialize in deep research across a wide range of asset classes and investment vehicles, with the goal of transforming knowledge into actionable investment solutions for our individual, family and institutional clientele.
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quantum-computingWhy IonQ Stock Blasted Almost 23% Higher This Week
A massive, very powerful investor committed significant capital to the quantum industry this week, lifting sector stocks whether they were part of its initiative or not. IonQ (IONQ +7.95%) wasn't included, nevertheless market players traded the stock up on the back of that general buy-in. According to data compiled by S&P Global Market Intelligence, IonQ's shares rose by nearly 23% over the week. 2 billion reasons to like quantum companies That investor is no less an entity than the U.S. Federal Government. On Thursday, the Department of Commerce (DoC) announced that it is committing $2 billion to direct investments in nine quantum companies. Image source: Getty Images. Again, this select group doesn't include IonQ. Yet the firm commitment to advancing the technology from the public sector immediately and powerfully improved sentiment on nearly every quantum stock. Another factor in IonQ's rise despite that exclusion is that, in a way, it puts the company a cut above those included peers. Earlier this month, it reported a first quarter in which it managed a 755% year-over-year improvement in revenue to an all-time high of almost $65 million, and secured its first 256-qubit system sale. ExpandNYSE: IONQIonQToday's Change(7.95%) $4.68Current Price$63.57Key Data PointsMarket Cap$22BDay's Range$57.88 - $65.8052wk Range$25.89 - $84.64Volume2.4MAvg Vol29.1MGross Margin-2879.52% The highest level of support possible To be sure, quantum still has quite some distance to go in its development as a technology; that goes double for the financial viability of the companies involved. But it's very encouraging that the Feds are putting their money where their mouths are; we can expect other forms of support -- financial or otherwise -- to boost the sector's players.Read NextMay 22, 2026 •By Micah ZimmermanWhy the Smartest AI Money Is Quietly Moving Into Quantum Computing Right NowMay 21, 2026 •By Eric TrieStock Market Today, May 21: IonQ Rises as U.S. Quantum Funding Report Li
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quantum-computingD-Wave Quantum Is Skyrocketing Today -- Is the Stock a Buy Right Now?
D-Wave Quantum (QBTS +12.98%) stock is roaring higher in Friday's trading. The quantum computing specialist's share price was up 17.2% as of 1:30 p.m. ET. Meanwhile, the S&P 500 was up 0.8%, and the Nasdaq Composite was up 0.6%. Following yesterday's news that D-Wave Quantum had signed a letter of intent to secure $100 million in funding through the CHIPS and Science Act, TD Cowen has named the company one of the top three biggest winners from the U.S. government's new quantum computing investment initiative. The other two companies named by TD Cowen as top beneficiaries of the project were Rigetti Computing and GlobalFoundries. Image source: Getty Images. Is D-Wave stock a buy right now? In exchange for receiving $100 million in funding from the U.S. Department of Commerce over a three-year period, D-Wave will be providing the department with new stock of the equivalent value. D-Wave will be creating new shares to sell to the government, which means that current shareholders will see stock dilution as a result of the deal. On the other hand, the Department of Commerce's pending investment in D-Wave represents a powerful vote of confidence from one of the best partners the company could have. ExpandNYSE: QBTSD-Wave QuantumToday's Change(12.98%) $3.34Current Price$29.08Key Data PointsMarket Cap$9.5BDay's Range$26.11 - $31.5552wk Range$12.75 - $46.75Volume4.5MAvg Vol28.3MGross Margin32.92% The government's plan to invest in D-Wave doesn't necessarily mean that the company will emerge as a long-term winner in the quantum space, but it signals that the tech specialist is viewed as one of the most promising players in the industry. With the company valued at roughly $11.15 billion as of this writing, D-Wave is trading at approximately 263 times this year's expected sales. The quantum specialist's valuation profile and speculative outlook mean that it continues to be a very risky investment candidate, but substantial government investment could lend legitimacy to its
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quantum-computingWhy Rigetti Computing Stock Keeps Going Up
Yesterday, as you've probably heard, The Wall Street Journal reported on a Trump Administration plan to award $2 billion to nine quantum computing companies -- Rigetti Computing (RGTI +20.87%) among them -- and to take government equity stakes in the companies in return. Rigetti shares started moving one day before the announcement was made, then rocketed higher yesterday -- and higher again today. Up 18% through 10:55 a.m. Friday morning, Rigetti shares have gained an astounding 63% in just three days of trading, and investors are wondering: Is any price too high to pay for this quantum computing stock? Image source: Getty Images. And now it's official Shortly after WSJ broke the story, the U.S. Department of Commerce confirmed that not only does it plan to award grants, but it has in fact already signed letters of intent to do so. Operating under the CHIPS and Science Act, Commerce will "support and accelerate critical research and manufacturing of technologies for the quantum ecosystem to ensure continued United States leadership and national security." Two quantum foundries, Globalfoundries (GFS +7.54%) and International Business Machines (IBM +1.56%), will receive $375 million and $1 billion, respectively. Rigetti and five others will receive $100 million apiece, and the ninth company will receive $38 million. Each of the seven non-foundry recipients will focus on specific technologies needed to build quantum computers. Rigetti in particular will focus on miniaturization and cryostat devices for maintaining extremely low temperatures. ExpandNASDAQ: RGTIRigetti ComputingToday's Change(20.87%) $4.60Current Price$26.64Key Data PointsMarket Cap$7.3BDay's Range$22.67 - $26.7252wk Range$10.30 - $58.15Volume3.6MAvg Vol30.6MGross Margin-5945.49% What does this mean for Rigetti stock? The question now is how much good even this money can do for Rigetti, which is burning more than $80 million a year. Even if Rigetti gets all of the "up to $100 million" it's allotted, thi
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quantum-computingTransforming Computing, Transforming Maryland – A New Approach To Place-Making Innovation
Gov. Wes Moore unveiled a multiyear initiative alongside a new national partner in quantum science, reinforcing Maryland's reputation as the "Capital of Quantum." Moore made the announcement at the University of Maryland's Applied Research Laboratory for Intelligence and Security. (Kevin Richardson/The Baltimore Sun/Tribune News Service via Getty Images)TNSThis past March in Baltimore and College Park, the Council on Competitiveness brought together leaders from industry, academia, government, and the entrepreneurial community for the 11th edition of its series of “Competitiveness Conversations Across America.” The presidents of Morgan State University and the University of Maryland convened this conversation to share perspectives on a set of transformative forces – namely, AI and quantum sciences and computing – shaping the state’s innovation-driven economy. And, in doing so, they shed light on many of the best and “next” practices the most competitive regional innovation ecosystems are deploying to build the country’s next great engines of innovation, productivity and economic growth, security, and prosperity.Few regions possess Maryland’s concentration of research assets, federal laboratories, universities, and national security capabilities. Within a relatively compact geography sit the National Institute of Standards and Technology, National Institutes of Health, National Security Agency, Food and Drug Administration, etc. — alongside over 100 accredited institutions of higher education, a growing venture ecosystem, and an expanding base of AI, quantum, and biotechnology companies.Yet what struck me most was not the density of these assets, but the intentionality behind their alignment. Maryland is strategically leveraging these assets across government, academia, federal laboratories, and the private sector to build a next-generation innovation ecosystem designed to power competitiveness for the coming century — one that builds on longstanding strengths while
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quantum-computingQuantum Doeblin Coefficients: Interpretations and Applications
AbstractIn classical information theory, the Doeblin coefficient of a classical channel provides an efficiently computable upper bound on the total-variation contraction coefficient of the channel, leading to what is known as a strong data-processing inequality. Here, we investigate quantum Doeblin coefficients as a generalization of the classical concept. In particular, we define various new quantum Doeblin coefficients, one of which has several desirable properties, including concatenation and multiplicativity, in addition to being efficiently computable. We also develop various interpretations of two of the quantum Doeblin coefficients, including representations as minimal singlet fractions, exclusion values, reverse max-mutual and oveloH informations, reverse robustnesses, and hypothesis testing reverse mutual and oveloH informations. Our interpretations of quantum Doeblin coefficients as either entanglement-assisted or unassisted exclusion values are particularly appealing, indicating that they are proportional to the best possible error probabilities one could achieve in state-exclusion tasks by making use of the channel. We also outline various applications of quantum Doeblin coefficients, ranging from limitations on quantum machine learning algorithms that use parameterized quantum circuits (noise-induced barren plateaus), on error mitigation protocols, on the sample complexity of noisy quantum hypothesis testing, on the fairness of noisy quantum models, and on mixing, indistinguishability, and decoupling times of time-varying channels. All of these applications make use of the fact that quantum Doeblin coefficients appear in upper bounds on various trace-distance contraction coefficients of a quantum channel. Furthermore, in all of these applications, our analysis using quantum Doeblin coefficients provides improvements of various kinds over contributions from prior literature, both in terms of generality and being efficiently computable.► BibTeX data@artic
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