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Quantum Annealing: D-Wave Systems & Optimization Applications

Quantum annealing news: D-Wave Advantage systems, optimization problems, hybrid algorithms. QUBO formulations & commercial deployments.

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Quantum annealing represents the earliest commercialized form of quantum computing, using quantum fluctuations to find optimal solutions to combinatorial optimization problems. D-Wave Systems has deployed systems with 5,000+ qubits (Advantage processor) accessed via cloud and installed at research institutions, government labs, and corporations.

Unlike gate-based quantum computers that execute algorithmic instructions, quantum annealers solve problems by mapping them onto an Ising model or quadratic unconstrained binary optimization (QUBO) formulation. The quantum processor evolves from a superposition of all possible states toward the ground state of the problem Hamiltonian.

India's Quantum Annealing Landscape

India's enterprise technology sector explores quantum annealing through cloud access to D-Wave systems. The National Quantum Mission focuses primarily on gate-based quantum computing hardware development rather than quantum annealing hardware, but optimization applications using quantum annealing fall under NQM's broader quantum computing applications scope. Tata Consultancy Services (TCS), Infosys, and other IT majors develop quantum optimization solutions for Indian enterprises using hybrid quantum-classical approaches.

Key Advantages

Key advantages include mature commercial technology with 10+ years of cloud availability, massive qubit counts (5,000+), specialization for optimization without requiring full error correction, and established application ecosystems. Limitations include narrow application scope (optimization only), no quantum error correction, and restricted connectivity requiring problem embedding overhead.

Recent Developments

Recent developments include D-Wave's Advantage2 prototype experimenting with higher connectivity (Zephyr topology) and error-reduction techniques.

Scaling vs entanglement in measurement-induced phase transition for non-integrable systemsquantum-computing

Scaling vs entanglement in measurement-induced phase transition for non-integrable systems

--> Quantum Physics arXiv:2608.21578 (quant-ph) [Submitted on 21 Aug 2026] Title:Scaling vs entanglement in measurement-induced phase transition for non-integrable systems Authors:Paranjoy Chaki, Protyush Nandi, Subinay Dasgupta, Ujjwal Sen View a PDF of the paper titled Scaling vs entanglement in measurement-induced phase transition for non-integrable systems, by Paranjoy Chaki and 3 other authors View PDF HTML (experimental) Abstract:We find that the measurement-induced phase transition generated by deterministic global measurements, previously observed in the integrable transverse-field Ising model (TFIM), persists in non-integrable variants of the same. To address this question, we consider the TFIM with longitudinal field and the axial next-nearest-neighbor Ising (ANNNI) model. We show that both the survival probability and the bipartite entanglement entropy consistently capture a transition between area-law and volume-law entangled phases for two distinct initial states: a product state with all spins polarized along the transverse direction and a Greenberger-Horne-Zeilinger (GHZ) state. Finite-size scaling reveals a pronounced initial state dependence: for the polarized product state, the transition point follows an inverse-square-root scaling with system size in both non-integrable models, consistent with the integrable TFIM, whereas for the GHZ initial state, it deviates from this scaling and approaches zero considerably more slowly in the non-integrable models than in the integrable TFIM. These results establish the robustness of measurement-induced transitions under deterministic measurements against integrability breaking while highlighting the crucial role of the initial state in governing their scaling behavior. Comments: Subjects: Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech) Cite as: arXiv:2608.21578 [quant-ph]   (or arXiv:2608.21578v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.21578 Focus to

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Monte Carlo simulations model complex quantum interactionsquantum-computing

Monte Carlo simulations model complex quantum interactions

Researchers at Swinburne University of Technology are promoting transparency in quantum research by making their data and simulation codes openly available via Harvard Dataverse, created in 2025. Published on August 24, 2026, their work details Monte Carlo wave-function simulations used to analyze the coherent coupling strategy for coherent Ising machines, quantum networks designed to solve complex optimization problems. These simulations, involving Hilbert spaces exceeding 107 dimensions, offer a path toward exploring the limits of quantum performance for this NP-hard problem without relying on potentially limiting Gaussianity assumptions. The authors state that quantum computational advantage has been an important motivation for quantum computing researchers. The study was accepted for publication on July 15, 2026. Monte Carlo Wave-function Simulations Model CIM Interactions Researchers are leveraging Monte Carlo wave-function simulations to analyze the coherent Ising machine (CIM) in regimes previously inaccessible to conventional modeling techniques, pushing the boundaries of quantum optimization research. These simulations, conducted by a team at Swinburne University of Technology, utilize Hilbert spaces exceeding 107 dimensions to accurately represent the complex interactions within the CIM, a quantum network designed to solve the NP-hard Ising model. The team’s approach circumvents limitations inherent in master equation methods, which become computationally prohibitive as system size increases, and avoids the inaccuracies of Gaussian approximations when dealing with non-Gaussian quantum states. To facilitate open science and reproducibility, the data and simulation codes underpinning this work are openly available through Harvard Dataverse; Manushan Thenabadu, Run Yan Teh and P D Drummond created “CIM Project Codes for Numerical Simulation, Version 1.1 (2025)”. This commitment to transparency allows other researchers to verify the findings and build upon thi

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Quantum Computing Stocks IonQ, Rigetti Computing, and D-Wave Quantum Have Put Wall Street on Notice With This $863 Million Warningquantum-computing

Quantum Computing Stocks IonQ, Rigetti Computing, and D-Wave Quantum Have Put Wall Street on Notice With This $863 Million Warning

Although artificial intelligence has been driving Wall Street's bull market for almost four years, it's not the only game-changing trend that's capturing the attention and capital of investors. The quantum computing revolution is a potential trillion-dollar addressable market and is exciting investors. As of October 2025, several pure-play quantum computing stocks were delivering breakneck trailing 12-month (TTM) returns. IonQ (IONQ +8.02%), Rigetti Computing (RGTI +11.48%), and D-Wave Quantum (QBTS +8.46%) gained as much 6,200% over the trailing year. Investors who had the wherewithal to put their capital to work in these pure-play companies have been handsomely rewarded. Image source: Getty Images. But things may not be as perfect as the eye-popping two-year gains in quantum computing stocks suggest. Based on the actions of those who know IonQ, Rigetti, and D-Wave best, a worrisome message has been sent to Wall Street. Insiders at IonQ, Rigetti, and D-Wave have put Wall Street on notice Even though dozens of analysts closely monitor these pure-play quantum computing stocks, no one understands the nuts and bolts of these companies better than their insiders. An "insider" is a high-ranking executive, board member, or beneficial owner of at least 10% of a company's outstanding shares who may possess non-public information. Typically, insiders are a public company's biggest cheerleaders. But sometimes their actions speak louder than words. Securities law requires that insiders report any purchases or sales in their company's stock (including option exercises) via Form 4 within two business days. This also allows everyday investors to track whether insiders have been buyers or sellers of their company's stock. ExpandNYSE: IONQIonQToday's Change(8.02%) $3.33Current Price$44.86Key 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 sh

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What Does a D-Wave Quantum Insider's Sale of 23,850 Shares Mean for Investors?quantum-computing

What Does a D-Wave Quantum Insider's Sale of 23,850 Shares Mean for Investors?

Sophie C. Ames, Chief Human Resources Officer of D-Wave Quantum Inc. (QBTS +8.46%), disposed of 23,850 shares of common stock on August 17, 2026 according to a recent SEC Form 4 filing.Transaction summaryMetricValueTransaction value~$504,905Shares sold23,850Post-transaction shares (directly held)565,159Post-transaction value$11.79 millionTransaction value based on SEC Form 4 weighted average sale price ($21.17); post-transaction value based on August 17, 2026 market close ($20.87).Key questionsWhat prompted this disposition of shares?The disposal was a non-discretionary transaction executed to satisfy tax obligations upon the vesting of restricted stock units (RSUs) and does not reflect a change in the insider's investment outlook.What is the current status of the executive's equity position?Following this transaction, the executive maintains a direct position of 565,159 shares, which includes 536,144 unvested restricted stock units.How has the stock performed relative to this transaction?Shares were priced at $21.17 during this transaction, while the company has realized a 23% one-year return as of the August 17, 2026 market close.What is the company's current financial profile?D-Wave Quantum has a market cap of $7.7 billion and reported trailing twelve-month revenue of $12.4 million, with total insider ownership standing at 0.15%.Company OverviewMetricValueShare Price (as of market close 2026-08-17)$20.87Market Capitalization$7.7 billionRevenue (TTM)$12.4 millionNet Income (TTM)-$248.7 millionCompany SnapshotD-Wave Quantum Inc. develops and supplies quantum computing systems, software, and related services, including its flagship Advantage quantum computer, the Ocean open-source programming toolkit, and Leap, a cloud-based platform for real-time quantum computing access.The company generates revenue through licensing quantum computing systems, providing cloud-based quantum computing services via its Leap platform, offering professional services and consulting for

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Theory and experiment agree on quantum system’s quick changequantum-computing

Theory and experiment agree on quantum system’s quick change

Researchers from China and Luxembourg have experimentally validated a theoretical framework for understanding rapid changes in quantum systems. Using a trapped-ion quantum simulator, the team probed quenches initiated from a critical point, revealing how defect statistics scale with the speed of the change. The work demonstrates that these defect distributions exhibit predictable, universal behavior, establishing quench-depth scaling as a benchmark for studying quantum dynamics far from equilibrium. This research addresses a fundamental question in physics: determining when universal behavior emerges in complex quantum systems. Quantum Quenches Initiated at the Critical Point Laboratory experiments utilizing trapped ions in China and Luxembourg have provided detailed validation of theoretical predictions regarding rapid changes in quantum systems, specifically those initiated from a critical point. Researchers meticulously probed the creation of defects, localized disturbances, during these quenches, revealing how their distribution behaves under varying conditions. The study centers on the transverse-field quantum Ising model, a system frequently used to model magnetic materials and a cornerstone of condensed matter physics. Chen-Xu Wang, University of Science and Technology of China, and colleagues employed a trapped-ion quantum simulator to induce rapid transitions in this model, starting the process precisely at its critical point, a state of maximum instability. This precise starting point allowed for detailed observation of how defects form and evolve as the system is driven away from equilibrium. The cumulants of the defect number distribution, a measure of their statistical properties, exhibited universal scaling with the depth of the quench, demonstrating Gaussian behavior at leading order with systematic corrections at higher levels. A key finding revolves around the scaling of defect density. The research demonstrates that, contrary to some earlier predic

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Who’s News: Strategic Appointments at D-Wave, BTQ Technologies, Symmatrics, and Rigetti Computingquantum-computing

Who’s News: Strategic Appointments at D-Wave, BTQ Technologies, Symmatrics, and Rigetti Computing

Who’s News: Strategic Appointments at D-Wave, BTQ Technologies, Symmatrics, and Rigetti Computing D-Wave Quantum Inc. has appointed Kevan P. Krysler to its Board of Directors and Audit Committee. Krysler currently serves as Chief Financial Officer of Carbon Robotics and brings over two decades of financial leadership experience from previous executive roles, including Chief Financial Officer of Everpure, Inc., and Senior Vice President of Finance and Chief Accounting Officer at VMware, Inc. His appointment supports D-Wave’s strategic growth objectives and corporate governance as the company scales its commercial adoption of annealing and gate-model quantum technologies. The full official release is available here. BTQ Technologies Corp. has appointed Dr. Michael Grace to its U.S. technical team to support the development and commercialization of its Quantum Compute-in-Memory (QCIM) architecture. Dr. Grace previously led the Knox Security Team at Samsung and served as Director of Product Security at Mojo Vision. His appointment coincides with the advancement of BTQ’s QCIM core through its module-level integration and validation phase, following successful functional verification of its 28-nanometre design environment alongside the Industrial Technology Research Institute (ITRI). The complete announcement can be found here. Symmatrics has expanded its executive leadership team with two key appointments. The company has named Jim Garrity as Senior Vice President of Growth to manage commercial expansion, strategic partnerships, and go-to-market strategies for its one-time pad symmetric key delivery platform. Garrity brings over 30 years of channel and sales leadership experience, having previously held senior roles at MoreDirect, VMware, Citrix, and Insight. The news release details are available here. Additionally, Symmatrics has appointed Joe Reddix as Vice President of Federal Sector to lead its federal growth strategy and pilot deployments across government agencies

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Quantum Computing Weekly Round-Up: Week Ending August 22, 2026quantum-computing

Quantum Computing Weekly Round-Up: Week Ending August 22, 2026

Quantum Computing Weekly Round-Up lands with real momentum this week. Hubs opened, production applications shipped, modular cryogenics clicked into place, and post-quantum cryptography jumped from standards documents into live networks. Infleqtion planted its global headquarters in Colorado’s quantum corridor. D-Wave cut measurable signaling load for NTT DOCOMO. IBM successfully joined and cooled two modular cryogenic cells. A Chinese neutral-atom startup stacked nearly one billion yuan in financing. Miss the links below and the FOMO will be genuine.

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No quantum advantage (yet) in the world of tensor networksquantum-computing

No quantum advantage (yet) in the world of tensor networks

Tensor networks pictographic scheme Each tensor is represented by an array of dimension N, that matches its number of indices. By joining the legs (indices) of each tensor, it is possible to encode the Hamiltonian or the state of a many-particle system. (Courtesy: Lucy Reading-Ikkanda/Simons Foundation)"> Tensor networks pictographic scheme Each tensor is represented by an array of dimension N, that matches its number of indices. By joining the legs (indices) of each tensor, it is possible to encode the Hamiltonian or the state of a many-particle system. (Courtesy: Lucy Reading-Ikkanda/Simons Foundation) Researchers at the Flatiron Institute in New York City have used a new tensor network (TN) scheme to simulate how Ising spin glasses evolve in time. In many cases, their classical method is more accurate than the latest quantum annealers running the same problem. The results scale in two and three dimensions and raise the bar in the ongoing competition between classical and quantum computers for simulating many-particle quantum systems. Classical versus quantum Quantum many-particle systems provide a good way of comparing computational techniques because their complexity grows exponentially with the number of particles. In theory, quantum computers hold an advantage rooted in entanglement and superposition. In a classical computer, the spin of a particle (up or down) is encoded in bit that is either zero (down) or one (up), but never both. In a quantum computer, the spin can be encoded in a qubit holding a quantum superposition of up and down. This is a much more natural way to represent what the simulated system is actually doing. Recently, a team of quantum computing researchers used the D-Wave’s Advantage2 quantum annealer to simulate Ising spin glass dynamics and claimed that classical computers could not match their results. But now, Joseph Tindall and colleagues at the Flatiron Institute have shown that a classical scheme can do just as well -and sometimes bet

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D-Wave Quantum vs. Microsoft: Which Is the Better Quantum Computing Stock to Own for the Next 5 Years?quantum-computing

D-Wave Quantum vs. Microsoft: Which Is the Better Quantum Computing Stock to Own for the Next 5 Years?

Quantum computing has significant potential to transform a host of technologies, including cybersecurity, artificial intelligence, materials science, and drug discovery. But it's still in a relatively early stage of development, which makes it difficult to guess now which quantum computing stocks might be winners over the long term. Two companies on many investors' quantum computing radar are pure-play D-Wave Quantum (QBTS -6.42%) and tech giant Microsoft (MSFT +0.27%). Given where the quantum computing market is right now, and considering Microsoft's financial advantages, Microsoft stock is the no-brainer winner. Image source: Getty Images. What's happening with D-Wave right now? I get the appeal of owning a piece of D-Wave. At face value, who wouldn't want to invest in a leading quantum computing company that's betting everything on its ability to develop some of the most advanced computing systems ever to exist? The company has recently scored some meaningful wins, too, including a 1,120% increase in bookings to $35.5 million in the second quarter. Bookings are potential revenue, not actual sales yet, but they are a good indicator that customers are very interested in D-Wave's quantum annealing technology. AT&T is one such customer that has just agreed to expand its use of D-Wave's quantum computers, and may use them for "complex optimization challenges across its network operations." The telecom will experiment with the tech to improve its outage detection and response, manage technician routes, and plan new network expansions. ExpandNASDAQ: QBTSD-Wave QuantumToday's Change(-6.42%) $-1.34Current Price$19.53Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$7.3BMarket 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$19.45 - $20.7152wk Range$12.75 - $46.75Volume54.3KAvg Vol28.3MGross Margin-730.78% But bookings aren't sales, and

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Basis-update and Galerkin time integration in canonical matrix-product-state formquantum-computing

Basis-update and Galerkin time integration in canonical matrix-product-state form

--> Quantum Physics arXiv:2608.16994 (quant-ph) [Submitted on 17 Aug 2026] Title:Basis-update and Galerkin time integration in canonical matrix-product-state form Authors:Maximilian Fröhlich, Richard M. Milbradt, Martin Eigel, Aaron Sander, Robert Wille, Christian B. Mendl View a PDF of the paper titled Basis-update and Galerkin time integration in canonical matrix-product-state form, by Maximilian Fr\"ohlich and 5 other authors View PDF HTML (experimental) Abstract:Matrix product state algorithms must enlarge their bond spaces as entanglement grows and compress them to control cost. We formulate basis-update and Galerkin (BUG) time integration as a sequence of canonical MPS sweeps for Hamiltonians represented as matrix product operators. We show when two natural basis updates produce the same trial space and when transporting coefficients between successive bases preserves the represented state. Under these conditions, the existing first-order error bound for uncompressed tree-tensor-network BUG also applies to the alternating-endpoint MPS schedule. We verify the uncompressed implementation against an independent six-site calculation. We then compare BUG with two-site TDVP for 16-site transverse-field Ising and Haldane-Shastry dynamics. At matched timestep and truncation settings, BUG performs fewer local exponential actions and has lower runtime. These settings do not produce equal accuracy. The runtime versus accuracy curves cross for the Ising model and are close for the Haldane-Shastry model. The comparison therefore identifies model-dependent trade-offs rather than a general advantage for either method. Comments: Subjects: Quantum Physics (quant-ph); Other Condensed Matter (cond-mat.other) Cite as: arXiv:2608.16994 [quant-ph]   (or arXiv:2608.16994v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.16994 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Aaron Sander [view email] [v1] Mon, 17 Aug 2026 18:00:1

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NTT DOCOMO Deploys Second D-Wave Quantum Application for Network Optimizationquantum-computing

NTT DOCOMO Deploys Second D-Wave Quantum Application for Network Optimization

Insider Brief Press release – D-Wave Quantum Inc. (NASDAQ: QBTS), the only dual-platform quantum computing company providing both annealing and gate-model systems, software and services, and NTT DOCOMO, INC. (“DOCOMO”), Japan’s largest mobile operator with more than 93 million subscriptions, today announced that DOCOMO has deployed a second D-Wave-powered quantum computing application in production. The […]

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An error-mitigated quantum annealing solution for the weighted Max-Cut problem on a cubic latticequantum-computing

An error-mitigated quantum annealing solution for the weighted Max-Cut problem on a cubic lattice

--> Quantum Physics arXiv:2608.15094 (quant-ph) [Submitted on 15 Aug 2026] Title:An error-mitigated quantum annealing solution for the weighted Max-Cut problem on a cubic lattice Authors:Y. S. Yang, P. Tyson, A. B Murphy View a PDF of the paper titled An error-mitigated quantum annealing solution for the weighted Max-Cut problem on a cubic lattice, by Y. S. Yang and 2 other authors View PDF Abstract:The weighted Max-Cut problem is an NP-hard problem with application implications. It is investigated on a cubic lattice with 113 nodes and mixed-signed random edge weights. For a fixed upper bound on edge weights, it has been demonstrated that the computational difficulty increases as the lower bound on edge weights becomes more negative. The solution time for the problem using a novel error-mitigated quantum annealing approach is compared with standard D-Wave quantum annealing (QA) and BQM hybrid solvers, as well as various classical solvers. For the QPU-embeddable weighted Max-Cut instances with mixed-signed edge weights, it has been quantitatively demonstrated that the SEMO (spin-error mitigation for optimisation) error-mitigated quantum annealing achieved substantially shorter time-to solution than standard D-Wave QA, D-Wave BQM, simulated annealing and Tabu search baselines. The error-mitigated quantum annealing approach presented in this article potentially elevates the efficiency and application scope of quantum annealing and would be applicable in solving other discrete optimisation problems that can be formulated as QUBO or Ising instances. The promising solution time advantage would be particularly impactful for time-critical optimisation applications. Comments: Subjects: Quantum Physics (quant-ph); Mathematical Physics (math-ph) Cite as: arXiv:2608.15094 [quant-ph]   (or arXiv:2608.15094v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.15094 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission histor

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A finance expert joins D-Wave as it scales quantum computingquantum-computing

A finance expert joins D-Wave as it scales quantum computing

D-Wave Quantum Inc. has appointed Kevan P. Krysler, formerly CFO of NYSE-listed Everpure, Inc., to its Board of Directors and Audit Committee, signaling a sharpened focus on financial rigor as the publicly traded quantum computing firm (NASDAQ: QBTS) scales. Krysler currently leads finance at Carbon Robotics, a company building AI-powered agricultural robots, which parallels D-Wave’s increasing emphasis on practical quantum applications beyond research, the company says. “D-Wave is at an exciting stage of growth, with a differentiated technology portfolio and accelerating commercial traction,” said Krysler, adding that his experience will support the company’s continued execution and growth strategy. Kevan Krysler Joins D-Wave Board Amidst Company Scaling Kevan P. Krysler’s appointment signals a heightened focus on financial rigor for D-Wave (NASDAQ: QBTS), a strategy less common among early-stage quantum technology companies that often remain private. Prior to Carbon Robotics, Krysler served as senior vice president of finance and chief accounting officer at VMware, Inc., a major player in cloud infrastructure; this background is increasingly relevant as quantum computing transitions toward delivery as a service. Dr. Alan Baratz, CEO of D-Wave, stated that as adoption of their production-grade annealing quantum computing technology scales and their dual-platform strategy advances, Krysler will be a valuable addition. Sharon Holt, chair of the D-Wave board, emphasized Krysler’s value, stating that his perspectives on capital allocation, operating discipline and navigating complex growth environments will complement the board’s existing expertise. Krysler himself expressed enthusiasm, saying. D-Wave is at an exciting stage of growth, with a differentiated technology portfolio and accelerating commercial traction, as quantum computing becomes an important part of the enterprise technology landscape. Kevan P. Krysler, CFO at Carbon Robotics Source: https://www.business

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Got $200? 1 Quantum Computing ETF to Buy Right Now.quantum-computing

Got $200? 1 Quantum Computing ETF to Buy Right Now.

If you have $200 and want to point it at something that feels like the future, Defiance Quantum ETF (QTUM +0.36%) is a serious contender instead of a science project. When you buy this ETF, you're buying a basket of companies that are already building, selling, and using the hardware and software that could redefine what "computing power" means over the next couple of decades. ExpandNASDAQ: QTUMDefiance Quantum ETFToday's Change(0.36%) $0.57Current Price$159.25Key Data Points*:nth-last-child(-n+2)]:border-b-0">AUM$5.9BDividend Yield0.74%Expense Ratio0.40%*:nth-last-child(-n+2)]:border-b-0">Top HoldingsARQQ2.06%NET1.59%ESTC1.58% What QTUM owns QTUM tracks the BlueStar Machine Learning and Quantum Computing Index, which sounds abstract until you look at what's inside. The fund holds around 80 to 90 stocks tied to quantum computing and advanced machine learning, with most of the weight in technology names that already ship products and services. You get pure play quantum companies like D-Wave Quantum (QBTS -0.35%), IonQ (IONQ +1.23%), and Rigetti (RGTI -0.05%), which are building different kinds of quantum machines and cloud services, alongside more established names that embed quantum and AI capabilities into chips, data platforms, and security tools. Also, companies in that index generally need to generate at least 50% of their revenue or operating activity from quantum-computing-related products or activities. Owning a single early-stage quantum stock is like betting your $200 on one lab's approach to physics. QTUM lets you spread that bet across multiple hardware and software paths, as well as larger firms that can absorb setbacks and keep funding research. You are buying the ecosystem, not one experiment. ExpandNYSE: IONQIonQToday's Change(1.23%) $0.57Current Price$46.83Key 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 sh

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D-Wave Appoints Kevan Krysler to Board and Audit Committeequantum-computing

D-Wave Appoints Kevan Krysler to Board and Audit Committee

Insider Brief Press release – D-Wave Quantum Inc. (NASDAQ: QBTS) (“D-Wave” or the “Company”), the only dual-platform quantum computing company providing both annealing and gate-model systems, software and services, today announced the appointment of veteran technology finance executive Kevan P. Krysler to its Board of Directors and Audit Committee. Krysler currently serves as chief financial […]

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D-Wave Could Unlock Massive Enterprise Demand but the Valuation Risk Is Realquantum-computing

D-Wave Could Unlock Massive Enterprise Demand but the Valuation Risk Is Real

D-Wave (QBTS +1.29%) is moving beyond experimental quantum research and into critical enterprise operations. Its hybrid computing framework and expansion into scientific simulation could open a major new growth phase, but uneven bookings, missed expectations, and an extreme valuation leave little room for error. Stock prices used were the market prices of Aug. 7, 2026. The video was published on Aug. 16, 2026. Read NextAug 13, 2026 •By Motley Fool TranscribingD-Wave Quantum (QBTS) Q2 2026 Earnings Call TranscriptAug 11, 2026 •By Daniel SparksD-Wave's Revenue Fell 44% in a Year. Its Market Value Rose 38%.Aug 11, 2026 •By Chris NeigerIs D-Wave Quantum a Buy? Here's What the Data Says.Aug 6, 2026 •By Johnny RiceWhy D-Wave Quantum Stock Just FellAug 5, 2026 •By Chris NeigerWhy D-Wave Stock Fell 25% in JulyAug 3, 2026 •By Rich SmithWhy D-Wave Quantum Stock Popped TodayAbout the AuthorRick is a Wall Street Journal best-selling author with over 20 years of experience trading stocks and options. The most authoritative publications, including Good Morning America, Washington Post, Yahoo Finance, MSN, Business Insider, NBC, FOX, CBS, and ABC News, cover his work. His passion is business, and he works tirelessly to deliver content in an easy-to-understand manner. In 2018, Rick wrote The Financially Independent Millennial to inspire his readers with his story about becoming financially independent at age 35 despite not learning about money when he was younger. His books are easy to read and often refer to key points that “He would tell his younger self.” When not thinking about business, Rick writes (mainly about cruise ship travel) for his travel blog and is an enthusiast of fast cars, technology, & cooking.CMFrickorfordStocks MentionedD-Wave QuantumNASDAQ: QBTS$21.17(+1.29%)+$0.27Motley Fool Stock Advisor’s Latest PickGet Access---% Avg Return*Average returns of all recommendations since inception. Cost basis and return based on previous market day close.

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Open system probes of renormalization group flowquantum-computing

Open system probes of renormalization group flow

--> Quantum Physics arXiv:2608.13664 (quant-ph) [Submitted on 13 Aug 2026] Title:Open system probes of renormalization group flow Authors:Andrew Keefe, Brenden Bowen, Saptarshi Biswas, Albion Lawrence, Nishant Agarwal, Archana Kamal View a PDF of the paper titled Open system probes of renormalization group flow, by Andrew Keefe and 5 other authors View PDF HTML (experimental) Abstract:Open system probes can provide an efficient means to characterize quantum many-body systems by employing them as engineered environments. The key idea is to map long-range spatial correlations of the environment onto dynamical correlations in the evolution of a simple quantum probe. Using the example of a qubit coupled to a transverse-field Ising model, we show how the non-Markovian rate or spectral flow can be used to identify stable and unstable fixed points, infer scaling dimensions of relevant fields, and deduce the renormalization group flow induced by deformations around any fixed point. Comments: Subjects: Quantum Physics (quant-ph); Mesoscale and Nanoscale Physics (cond-mat.mes-hall); Statistical Mechanics (cond-mat.stat-mech); High Energy Physics - Theory (hep-th) Cite as: arXiv:2608.13664 [quant-ph]   (or arXiv:2608.13664v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2608.13664 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Archana Kamal [view email] [v1] Thu, 13 Aug 2026 18:03:49 UTC (1,088 KB) Full-text links: Access Paper: View a PDF of the paper titled Open system probes of renormalization group flow, by Andrew Keefe and 5 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-08 Change to browse by: cond-mat cond-mat.mes-hall cond-mat.stat-mech hep-th References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation

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Better Quantum Computing Stock: IBM or D-Wave?quantum-computing

Better Quantum Computing Stock: IBM or D-Wave?

IBM (IBM -1.19%) and D-Wave (QBTS +1.29%) are racing toward commercial quantum adoption, but one has financial strength, enterprise reach, and the ability to withstand a long development cycle that could prove decisive. This video explores why the ultimate quantum winner may not be the company that arrives first, but the one that stays in the race the longest. Stock prices used were the market prices of Aug. 13, 2026. The video was published on Aug. 13, 2026. Read NextAug 15, 2026 •By Will Healy2 Tech Dividend Stocks That Offer High Yields and Payout GrowthAug 14, 2026 •By Seena HassounaArista Networks vs. International Business Machines: Which Technology Stock Is a Better Buy in 2026?Aug 14, 2026 •By Matt Frankel, CFP®10 Best Blockchain Stocks for 2026 and How to InvestAug 10, 2026 •By Anders Bylund9 Best Quantum Computing Stocks for 2026 and How to InvestAug 10, 2026 •By David Jagielski, CPAThis Is When IBM's CEO Says Quantum Computing Could Start to Have a "Measurable Impact" on Its Bottom LineAug 3, 2026 •By Daniel SparksIBM Has Fallen 33% From Its High and Yields 3%. Here's What That Dividend Actually Costs the Company.About the AuthorRick is a Wall Street Journal best-selling author with over 20 years of experience trading stocks and options. The most authoritative publications, including Good Morning America, Washington Post, Yahoo Finance, MSN, Business Insider, NBC, FOX, CBS, and ABC News, cover his work. His passion is business, and he works tirelessly to deliver content in an easy-to-understand manner. In 2018, Rick wrote The Financially Independent Millennial to inspire his readers with his story about becoming financially independent at age 35 despite not learning about money when he was younger. His books are easy to read and often refer to key points that “He would tell his younger self.” When not thinking about business, Rick writes (mainly about cruise ship travel) for his travel blog and is an enthusiast of fast cars, technology, & cooking.CMFr

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Jim Cramer Was Happy The Market “Cared” About D-Wave Quantum – But Not How You Thinkquantum-computing

Jim Cramer Was Happy The Market “Cared” About D-Wave Quantum – But Not How You Think

Jim Cramer Was Happy The Market “Cared” About D-Wave Quantum – But Not How You Think Ramish Cheema Sat, August 15, 2026 at 5:28 PM EDT 3 min read QBTS +1.29% SMR -4.67% D-Wave Quantum Inc. (NYSE:QBTS)'s shares are up by 24% over the past year and are down by just as much year-to-date. Cramer hasn't held back discussing the firm and in most appearances, he has stressed the need to evaluate the firm's business. As D-Wave Quantum Inc. (NYSE:QBTS) reported its second quarter earnings on August 6th, the firm's shares closed the day 9% lower. Cramer discussed the move and wondered whether the market was becoming realistic about D-Wave Quantum Inc. (NYSE:QBTS): "What's incredible is that we never cared about earnings before, for this, for NuScale. And suddenly we care, I don't get it. I just think again, once again, there's kind of a realism sinking in. Let's, a lot of these guys have had such big moves. They're not based on anything. Or, let's just take some profits. I think the Situational mindset is going to be with us for a long time. Jim Cramer Tells Caller Down 15% on Netflix to Average Down While the shares closed lower, D-Wave Quantum Inc. (NYSE:QBTS)'s earnings came with several key figures that support the bullish argument. Arguably, the strongest of these was the firm's first half of 2026 bookings. These surged by 1,120% to $35.5 million. The bookings surge came due to purchase and enterprise agreements with Florida University and a Fortune 100 company. Additionally, 62% of D-Wave Quantum Inc. (NYSE:QBTS)'s second quarter revenue of $3.1 million was accounted for by commercial customers. Both these factors, along with a 668% jump in remaining performance obligations (RPOs), created solid avenues for tailwinds should the firm demonstrate sustained performance in the future. Yet, on the flip side, D-Wave Quantum Inc. (NYSE:QBTS)'s second quarter revenue dipped by 0.6% annually and came after its Q1 revenue had dropped by 81% to $2.

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Quantum Zeitgeist Weekly Digestquantum-computing

Quantum Zeitgeist Weekly Digest

Welcome to this week’s quantum technology digest. The articles below cover advances across the quantum computing stack, from hardware development and error correction to algorithmic improvements and commercial growth. Several companies reported significant progress this week, indicating continued momentum in the field. This week’s updates demonstrate a clear focus on scaling and refinement. Quantinuum features prominently with announcements regarding both hardware manufacturing partnerships and algorithmic efficiency gains. Other companies, including IonQ and Pasqal, are pushing boundaries in error correction and qubit control. Funding news from D-Wave and Infleqtion’s strong revenue growth further illustrate increasing investment and market demand. Overall, this week highlights practical steps toward building more capable and accessible quantum systems. Progress isn’t limited to a single approach; diverse modalities – superconducting, trapped ion, and neutral atom – all saw encouraging developments. The increasing availability of quantum resources on cloud platforms like Oracle also suggests a move toward wider accessibility for researchers and developers. 1. Quanta Computer & Quantinuum Partner to Scale Quantum Computing Hardware Quantinuum and Quanta Computer are collaborating to manufacture infrastructure for large-scale quantum computers. The partnership combines Quantinuum’s quantum technology with Quanta’s manufacturing expertise, shifting focus from research toward deployable systems. This co-development effort aims to improve the modularity and scalability of quantum processors, supporting Quantinuum’s roadmap for fault-tolerant quantum systems. Quanta’s experience in industrializing advanced computing will establish supply chains and manufacturing processes needed for wider quantum access. Read more 2. IBM’s QOBLIB Library Demonstrates Quantum Advantage in Optimization IBM and its partners announced demonstrations of quantum advantage in optimization t

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