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D-Wave Quantum | Company Profile

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D-Wave Quantum
The company that has sold quantum computers built on “quantum annealing”. It has now stepped into gate-model machines, while its “quantum advantage” claim is still being debated

There are two broad ways to build a quantum computer. One is the general-purpose type (gate model), which can in principle compute anything. The other is the special-purpose type (quantum annealing), which is specialized in “finding the best combination among a huge number of options”. D-Wave has been making and selling the special-purpose type commercially for more than a decade. In January 2026 it acquired Quantum Circuits, which develops gate-model machines, and the company describes itself as the only one that does both annealing and gate-model systems. The claim it announced in 2025, a “demonstration of quantum supremacy (advantage)”, has drawn rebuttal papers from the classical-computing side, and both sides’ statements now stand next to each other. This profile explains what it builds, how much it spends, who it works with and what it is aiming for, using only primary sources we could check, and in terms a reader new to quantum computing can follow.

Sources: D-Wave Quantum’s Form 10-K for 2025 (filed with the U.S. SEC on 26 February 2026), Form 10-Q for the second quarter of 2026 (6 August 2026), press releases attached to Form 8-K filings, papers in Science and Nature, and arXiv papers, used as primary material. Date checked: 16 October 2026.

What this article covers
  1. D-Wave in 30 seconds, and where it stands in quantum computing
  2. The logo and how the name is written
  3. Where the company sits in quantum computing
  4. Scale
  5. Resources committed to quantum computing
  6. What it has done so far
  7. What comes next
  8. What the company is aiming for in quantum computing
  9. Map of quantum computing partnerships
  10. Technologies, products and services
  11. Risks this company carries
  12. Glossary, references and claim-to-source audit

1. D-Wave in 30 seconds, and where it stands in quantum computing

LEGAL NAMED-Wave Quantum Inc.A Delaware, U.S. company. The core operating subsidiary is D-Wave Systems (Canada)
HEADQUARTERSPalo Alto,
California, U.S.
Plans to move to Boca Raton, Florida, by the end of 2026 (company statement)
LISTINGNasdaq: QBTSListed through a SPAC merger in August 2022; moved from the NYSE to Nasdaq in July 2026
TYPESuperconductingBoth annealing and gate-model machines are built from superconducting circuits
HOW THE QUBITS ARE MADESuperconducting circuits
(cryogenic)
Annealing machines have more than 4,400 qubits. The gate model is in development
REVENUE (YEAR TO DEC 2025)US$24.6 millionUS$8.8 million the year before. US$16.2 million of it was system sales
CASH (30 JUNE 2026)US$296.6 million
plus US$249.6 million securities
From the Form 10-Q for the second quarter of 2026
COMPANY TARGET100,000-qubit annealer and
10,000-qubit gate model
Stated in the U.S. Department of Commerce funding release. A company target, not an achievement
The one point to grasp first

The way to read D-Wave is to separate “what it sells now” from “what it is going to build”.

What it sells now: quantum annealing machines (Advantage2) and their cloud service (Leap). They are special-purpose machines suited to optimization problems, and revenue comes from this cloud access, system sales and professional services Sourced.

What it is going to build: an error-corrected general-purpose (gate-model) machine. It rests on the technology of Quantum Circuits, acquired in January 2026, and the company states a target of delivering a first system in 2026, but as of 16 October 2026 what we could confirm goes only as far as a simulator beta program (1 October 2026) Not yet confirmed.

Three terms to learn first

Quantum annealing: a quantum computer for finding the best combination (optimization) among many options. Picture rolling a ball over a bumpy landscape: it settles in the lowest valley, and the bottom of that valley is taken as the answer.

Gate model: a quantum computer that, like an ordinary computer, executes instructions (gates) in sequence and can compute anything. It needs a mechanism for fixing the errors of fragile qubits (error correction), and is still under development.

Reading qubit counts: the annealer’s “4,400 qubits” and the gate model’s “10,000 qubits” are numbers with different meanings. With different approaches, each qubit has a different role and needs a different precision, so they cannot be lined up to rank the machines. This article always states the approach and whether a number is physical or logical.

2. The logo and how the name is written

A note on names: the listed company is D-Wave Quantum Inc. (U.S.), and the products have been built by its subsidiary D-Wave Systems Inc. (British Columbia, Canada). Quantum Circuits, acquired in 2026 (formerly Quantum Circuits, Inc.), is now a D-Wave subsidiary (Quantum Circuits, LLC). The logo is the official white-lettered version for dark backgrounds, shown here on a dark panel.

Official site: https://www.dwavequantum.com/ (the logo was taken from the image used in the site header)

3. Where the company sits in quantum computing

Quantum computing companies have different strengths and challenges depending on what they use to make a qubit. D-Wave falls in the first type, “superconducting”: both its annealing machines and its gate-model developments make qubits from superconducting circuits. But even within the same type, the two machines differ in purpose and in stage of development.

Four types of companies in quantum computing The same "quantum company" label hides different strengths and challenges, depending on how qubits are built Superconducting Qubits made from circuits IBM / Google Rigetti / IQM Manufacturing know-how Cooling and wiring Trapped ions & neutral atoms Trapped atoms and ions Quantinuum / IonQ QuEra / Pasqal High precision, control Scaling and speed Photonic, silicon & other approaches Light or silicon qubits PsiQuantum / Xanadu Diraq / Microsoft Photonics and scale Approach still unproven Software, cloud & ecosystem Cloud, software, comms NVIDIA / AWS Fujitsu / Toshiba Ease of use, links Own devices not the focus D-Wave is in the superconducting group, on two tracks: annealing and gate model Same superconducting circuits but different purposes and stages. Only annealing is on sale today
Fig. 1 The four types of companies in quantum computing, and where D-Wave sits. The classification is ours, and the company names are examples from those profiled in this series Our calculation. That D-Wave builds both approaches from superconducting circuits rests on its Form 10-K (Reference 1).

Here is each type in a sentence or two.

TypeWhat the qubit isStrengthDifficulty
SuperconductingAn electrical circuit cooled to extremely low temperatureCircuits can be made with semiconductor-style processesNeeds refrigerators and a great deal of wiring
Trapped ions and neutral atomsAtoms held in place with electric fields or lightEach one is identical, so precision is highIncreasing the number, and operating speed
Photonic, silicon and otherA particle of light (photon), the spin of an electron in silicon, and so onMay be made in factories; photons can be linked by optical fiberThe approach is still unproven
Software, cloud and ecosystemNo qubits of its ownSupports the whole field through cloud, software and communicationsNo hardware advantage of its own

4. Scale

D-Wave is a U.S.-listed company, and its revenue and losses are in its Form 10-K Sourced.

Metric (US$ thousand)Year to Dec 2024Year to Dec 2025
Revenue8,82724,587
  of which system sales-16,182
  of which cloud (QCaaS)6,7455,517
  of which professional services1,9382,720
Research and development expense35,30050,734
Loss from operations77,223100,368
Net loss143,879355,062
Cash and cash equivalents at year end177,980635,347
2026 (US$ thousand)Q2 (April-June)January-June total (prior year)
Revenue3,0765,934 (18,096)
Research and development expense28,23954,032 (22,982)
Net loss48,02866,385 (172,750)
Cash and cash equivalents / marketable securities at 30 June296,642 / 249,573
ItemDetail
EmployeesAbout 388 (5 February 2026, including those who joined with Quantum Circuits), of whom 382 were full-time
Main locationsCanada: Burnaby (system development and manufacturing) and Richmond. United States: Palo Alto (the company’s own wafer-processing facility, about 6,000 square feet) and New Haven, Connecticut (gate-model R&D). It plans to move its headquarters to Boca Raton, Florida, by the end of 2026 and open an R&D facility there
A caution

Revenue swings with the number of machines sold. Of 2025 revenue, US$16.2 million was sales of systems (machines), which were almost absent the year before. First-half 2026 revenue is lower than a year earlier because of the large system sale in the earlier period; it does not directly show a worsening of the business (our reading).

Most of the net loss is not cash spending. The net loss of US$355.1 million for 2025 includes a non-cash loss of US$270.5 million from the change in fair value of warrants (rights to buy shares). The loss grows when the share price rises, which is a movement separate from the operating business. To see the business itself, loss from operations (US$100.4 million) and cash used in operating activities (US$72.0 million) are the better guides Sourced.

5. Resources committed to quantum computing

Type of resourceDetailStatus
PeopleAbout 388 (February 2026). The CEO is Alan Baratz. Rob Schoelkopf is D-Wave’s chief scientist (company announcement)Sourced
MoneyR&D expense of US$50.7 million in 2025 (up 44%) and US$54.0 million in the first half of 2026. In 2025 it took in about US$779 million in cash from financing, through new share issuance, warrant exercises and similar. In January 2026 it paid US$250 million in cash plus shares for the Quantum Circuits acquisitionSourced
Outside investments, acquisitions, joint venturesCompleted the acquisition of Quantum Circuits, Inc. on 20 January 2026. The consideration was US$250.0 million in cash and 10,430,444 common shares (subject to net-debt and other adjustments). No investments in or joint ventures with other companies appear in the materials we checkedSourced / investments and joint ventures not found
Universities, research institutions, public fundingU.S. Department of Commerce: up to US$100 million under the CHIPS and Science Act (letter of intent on 21 May 2026, definitive agreement on 8 September; in return the government receives a minority equity stake) / second-year funding from the U.S. Department of War’s Microelectronics Commons (NORDTECH), awarded to the subsidiary Quantum Circuits, LLC / the Jülich Supercomputing Centre (an Advantage system installed in 2021), the University of Southern California’s Information Sciences Institute, and Davidson Technologies (Huntsville, Alabama) host or use systemsSourced
Investment in manufacturingWafers are made on the process of the U.S. semiconductor foundry SkyWater. The company’s own wafer-processing facility is in Palo Alto (about 6,000 square feet). A system development and manufacturing site is in Burnaby. Commerce funding is planned for developing a 100,000-qubit annealer and a 10,000-qubit gate-model machineSourced / plans are Not yet confirmed

Status of the main devices and products

NameApproach and scaleTypical performance or content (as published by the company; conditions stated)StageDate and source
Advantage2 (annealing)Superconducting annealer. More than 4,400 physical qubits. Each qubit is connected to 20 others (15 on the earlier machine)The company says energy scale rose 40% and coherence (how long the state lasts) doubled. System power is 12.5 kilowatts (same cooling approach since the first machine)Available (cloud “Leap” and on-premises sale)Launched May 2025 (10-K)
Advantage2 prototype (more than 1,200 qubits)Superconducting annealer (physical)Used in the Science paper’s simulation experiment (reproducing the “quench” dynamics of a quantum spin glass, a model of a magnet)Experimental demonstrationPaper: 2025 (Science 388, 199-204)
Dual-rail qubit (gate model)Superconducting gate model. A qubit held in a pair of cavities, which makes “erasure” errors easy to detect (physical)The Nature paper reports a two-qubit gate of about 500 ns, an erasure rate of about 0.5% per gate, and remaining Pauli errors below 0.1%. The company’s release says “about 99.9% fidelity” (which appears to exclude the detected erasures)Experimental demonstrationNature paper, 5 August 2026 (work of the Quantum Circuits team)
Gate-model simulatorSoftware that reproduces dual-rail behavior on a computerA beta for trying error-aware programming. Participants are BBVA, FirstQFM, Florida Atlantic University and the Jülich Supercomputing CentreBeta available1 October 2026
First gate-model systemDual-rail (physical)The company targets delivering a first system in 2026. No performance figures appear in the materials we checkedNot yet confirmedTarget in the 10-K (February 2026). No delivery as of 16 October 2026
Next-generation targets100,000-qubit annealer (physical); a 10,000-qubit (physical) gate-model machine for 100 logical qubits and more than one million operationsCompany targetsNot yet confirmedRelease of 8 September 2026. No timing stated
A materials engineer's view: making superconducting circuits in a fab, and cutting cooling and wiring

D-Wave’s qubits are small circuits made of superconducting thin films, built on silicon wafers by stacking layers in a semiconductor-style process. Wafers are made using the process of the U.S. semiconductor foundry SkyWater Sourced. The company says the annealers’ refrigerator power (12.5 kilowatts) has stayed the same across generations while only the number of qubits grew (about 50 times the first machine); cooling accounts for most of the power Sourced. For the gate model, the challenges are cryogenic control circuits placed near the quantum chip and packaging that links chips with superconducting wiring; in January 2026 the company announced a demonstration of on-chip cryogenic control of gate-model qubits Sourced. Through materials and process, the contest lies in the quality of the superconducting films (low loss) and packaging that cuts the number of wires by orders of magnitude Not yet confirmed.

6. What it has done so far

WhenEventMeaning
2010Released the first annealing machine, D-Wave One (company statement; the same 12.5 kW cooling approach is still used)The company describes it as the forerunner of commercial quantum computers
5 August 2022Completed the merger with a SPAC (DPCM Capital) and listedBecame a listed company, opening a route to raise funds
February 2024Made an Advantage2 prototype (more than 1,200 qubits) availableEarly access to the new generation
March 2025A Science paper on “beyond-classical quantum simulation”. The company announced “quantum supremacy on a useful, real-world problem”Rebuttal papers from the classical side followed (section 10)
May 2025Launched the sixth-generation Advantage2 (more than 4,400 qubits)The current flagship product
20 January 2026Completed the acquisition of Quantum Circuits (US$250 million in cash plus shares)Gained gate-model technology and a “two-track” structure
21 and 26 May 2026Letter of intent with the U.S. Department of Commerce for up to US$100 million (21st). The company’s statement on the rebuttal papers (26th)Outlook for public funding, and the exchange over the advantage claim
21 May 2026Science published a tensor-network paper by Flatiron Institute researchers and colleaguesResearch arguing that D-Wave’s experiment can be approximated on classical computers
July 2026Moved its listing from the NYSE to NasdaqThe ticker stays QBTS
5 August 2026A Nature paper on a two-qubit gate for dual-rail qubitsDemonstration of a basic gate-model building block
8 September 2026Definitive agreement with the Department of Commerce (up to US$100 million; the government takes a minority equity stake)Public funding is now definitive
1 October 2026Launched the gate-model simulator beta programSoftware offered ahead of real machines

7. What comes next

2026First gate-model
system
Company target (10-K). Dual-rail approach
BY YEAR ENDHeadquarters moves to
Boca Raton
Company plan (10-K and 10-Q)
TIMING NOT STATED100,000-qubit annealerCompany target. To be developed with Commerce funding
TIMING NOT STATED10,000-qubit gate model,
100 logical qubits
Company target. More than one million operations

All of these are company targets and plans, not achievements Not yet confirmed. In its 10-K the company states that no current quantum computer, D-Wave’s included, has reached broad quantum advantage, and that none may ever do so Sourced.

What we could not confirm

None of the following appears in the primary sources we checked Not yet confirmed.

The qubit count, error rate, price and confirmed delivery date of the first gate-model system / the completion dates of the 100,000-qubit and 10,000-qubit machines / any result showing logical qubits on real dual-rail hardware / revenue by customer / participation in DARPA’s Quantum Benchmarking Initiative (QBI) (D-Wave’s name did not appear in DARPA’s list current as of 8 October 2026).

8. What the company is aiming for in quantum computing

This section includes points the company does not state directly. They are inferences from what the primary sources show, given with their basis.

What we read from the sourcesPrimary-source basisType
The aim is to earn revenue from the optimization machine while channeling it into developing the general-purpose machineRevenue comes from annealing machines, their cloud access and professional services. R&D expense rose 44% in 2025 and rose further in the first half of 2026. US$250 million in cash went into the gate-model acquisitionInference
Revenue swings widely with whether machines are sold. The steady revenue pillars are still cloud (QCaaS) and servicesThe gap between 2025 system sales of US$16.2 million and cloud of US$5.5 million. The drop in system sales in the first half of 2026Inference
Customers are companies with optimization problems, such as telecoms, finance and manufacturingCustomer examples in the 10-K (Mastercard, BASF, Pfizer, NTT DOCOMO and others) and the July-August 2026 announcements (production use at AT&T and NTT DOCOMO)Sourced (company statement)
The gate model aims at error correction with few physical qubits, using Quantum Circuits’ dual-rail approachThe 10-K says physical qubits per logical qubit can be cut by up to an order of magnitude. The Nature paper reports properties suited to error detectionSourced (company statement)
Reaching the targets requires growth by orders of magnitudeThe gate-model target is 10,000 (physical) qubits. We found no record in the materials we checked of a gate-model experiment of that scaleInference
One inference in more detail

Of 2025 revenue of US$24.6 million, system sales were US$16.2 million, or about 66% Our calculation (16,182 / 24,587 = 0.658). Cloud (QCaaS) was 22% (5,517 / 24,587) and professional services 11% (2,720 / 24,587). So machine sales contributed heavily to 2025’s revenue growth, and revenue of that size will not necessarily recur every year. First-half 2026 revenue (US$5.9 million) is about a third of the prior-year period (US$18.1 million), which we read as showing that nature Not yet confirmed. This is not an assessment of how good the business is; it describes the structure in which revenue depends on when machines are sold.

9. Map of quantum computing partnerships

The figure below shows only relationships stated in the Forms 10-K and 10-Q and in press releases attached to Forms 8-K, with lines colored by type.

D-Wave and its quantum computing partnerships Only relationships stated in Forms 10-K, 10-Q and 8-K releases; no press-reported ties D-Wave Superconducting NTT DOCOMO / AT&T Optimization in production Mastercard / BASF etc. Customers named in the 10-K AWS Marketplace A purchase route for Leap Jülich / Davidson / USC ISI Host or use systems BBVA / FirstQFM / FAU / JSC Simulator beta participants SkyWater Outside foundry for wafers Quantum Circuits Acquired 20 January 2026 U.S. Commerce (CHIPS) Up to $100M; minority equity NORDTECH (U.S. DoW) Superconducting fab funding Joint development / use / hosting Manufacturing / supply Acquisition / public funding
Fig. 2 D-Wave and its partnerships. Sources: Forms 10-K and 10-Q (References 1 and 2) and press releases attached to Forms 8-K (References 4 to 10). The figure includes only relationships stated in them. The line types are our classification Our calculation; for the content and size of each tie, see the references in the text. The tie with the Department of Commerce is an agreement in which the government receives a minority equity stake in return for funding.

10. Technologies, products and services

D-Wave’s mainstay is a special-purpose machine that recasts an optimization problem as a landscape of hills and valleys. The next figure splits the flow into three steps.

Quantum annealing flow: three steps Our summary of D-Wave’s description and the paper 1. Make a landscape Recast the combinations as hills and valleys; the lowest valley is the answer Suited to optimization 2. Settle in a valley Superconducting qubits move from a simple start to the landscape and settle low Cryogenic (12.5 kW system) 3. Read the answer Measure the valley position, repeat many times, and combine with classical code Offered via Leap cloud Point: annealing is an optimization-only machine, not the same as a general-purpose gate model The 4,400+ figure counts annealing physical qubits; it is not comparable with gate-model counts A first gate-model system is targeted for 2026 (company target); only annealing is available now
Illustration The flow of quantum annealing as D-Wave describes it (sources: Form 10-K, Science paper). The figure is our rendering of the company’s description Our calculation; it does not show the actual structure of the machine.

What is quantum annealing?

  1. Turn the problem into a landscape: for example, “choose the shortest of all possible delivery routes” is rewritten as “find the lowest valley”. The depth of a valley is the quality of an answer.
  2. Move the qubits so they settle in a valley: superconducting qubits are gradually changed from a simple starting state to the problem’s landscape. The hope is that, using quantum properties, they can slip through hills rather than climb over them and so land in a low valley.
  3. Read out the answer: the qubits’ state is measured to pull out a candidate answer. The run is repeated many times and a good answer is chosen.
  4. Combine with classical computers: for real company problems, “hybrid” software also splits problems into smaller pieces and tidies the results. D-Wave’s cloud is described as offering hybrid solvers that can handle problems of up to two million variables.

An annealer is optimization-only; it cannot compute anything, as a gate-model machine can. A gate-model (general-purpose) machine, in turn, executes instructions in sequence and needs error correction built in. D-Wave is promoting a “two-track” approach in which the two machines are used according to the task (company statement).

The “quantum advantage” claim and the replies, side by side

IssueCompany claimWhat was confirmed (papers, primary sources)Objections and caveatsStatus
Did an annealer demonstrate a quantum simulation beyond classical reach?Announced in March 2025 “quantum supremacy on a useful, real-world problem”. The 10-K says matching it for the largest problems would take nearly one million years on one of the world’s most powerful supercomputers; the May 2026 statement says nearly a million years on Frontier using matrix-product-state methodsThe Science paper reports that a superconducting annealer can quickly produce samples close to solutions of the Schrödinger equation, and that several approximate methods (tensor networks, neural networks) could not match its accuracy within a reasonable time. The task was reproducing the sudden change (quench) dynamics of a model magnet, and the paper’s closing is cautious: such machines can answer important questions that may remain out of classical reachTindall and colleagues (Flatiron Institute and others) report that another tensor-network method approximates the same models with modest computing resources (arXiv, March 2025; published in Science on 21 May 2026). Mauron and Carleo (arXiv, March 2025) and Wiersema (arXiv, September 2026) report approximations with variational Monte Carlo. Krinitsin and colleagues (arXiv, July 2026) comment on the paper’s neural-network comparisonUnder debate. Not yet confirmed
The company’s replyThe statement of 26 May 2026 says the advantage result has not been overturned, and that the rebuttal papers do not reproduce the hardest problem instances or the same observablesConfirmed in the statement (attached to a Form 8-K). The statement also refers to an arXiv paper by D-Wave-side researchers, “Evaluating Classical Simulations with a Quantum Processor” (August 2025)The rebuttal side accepts that its reproduction is limited in scope but argues the approximations work in some regimes. What counts as “the same problem” is the point at issueUnder debate
A “useful” problem?The 10-K describes it as a “useful” problemThe paper’s task is reproducing the dynamics of a model of a quantum magnet (a physics simulation), not a logistics or finance optimization problemDirect usefulness for industrial optimization is not shown within the scope of our checkInterpretation Not yet confirmed
Broad quantum advantageThe 10-K states that no current quantum computer, D-Wave’s included, has reached broad quantum advantage, and that none may ever do soConfirmed in the 10-K risk factors-Sourced
How to read this dispute

This article does not state that D-Wave’s “quantum advantage” claim is right or that it has been overturned. Here are three pointers for reading.

1. The scope of “the same problem” is the point at issue. The company says the largest and hardest instances, and all of the observables, have not been reproduced. The rebuttal side says many cases of the same model can be approximated with little computation. The two sides differ on which part of the problem is being compared.

2. Classical methods keep improving. After the 2025 announcement, several research groups refined approximation methods, and how far each method reaches is still moving.

3. It is a separate question from business value. Whether an advantage is demonstrated and whether the machine is useful for a customer’s optimization problem are different matters. The customer examples (NTT DOCOMO, AT&T and others) are company announcements, and this article does not evaluate them. For more, see our explainers on reading quantum advantage and on quantum annealing.

Customer examples (company announcements)

In July and August 2026 D-Wave announced the following. AT&T is described as having cut the processing time of a network optimization workload from about an hour to under 15 seconds (early work). NTT DOCOMO is described as having put a second quantum application into production, reducing peak location-registration signals by 65.3% and paging signals by 7.0% Sourced. These are statements by the company and its customers; we could not confirm third-party verification or a like-for-like comparison with classical (conventional optimization) software.

11. Risks this company carries

RiskDetailType
The advantage claim is being debatedSeveral rebuttal papers have come from the classical side, and the company has replied. Neither side has reached a conclusionSourced
The gate model is at an early stageWhat we could confirm is a simulator beta. Real-machine performance and timing are company targetsNot yet confirmed
Integrating the acquisitionThe 10-K lists, as a business risk, the effects if the integration of Quantum Circuits does not go as expectedSourced
Volatile revenueRevenue varies greatly with the timing of machine sales. First-half 2026 revenue was about a third of the prior-year periodSourced / Our calculation
Continuing lossesThe operating loss was US$100.4 million in 2025. The 10-K says losses are expected to continue for the foreseeable futureSourced
Outside manufacturingWafer manufacturing depends on an outside foundry’s (SkyWater’s) processSourced
Conditions on public fundingThe Department of Commerce receives a minority equity stake in return for the funding. Progress against the plan could be affected by the termsSourced / Inference
Headquarters moveIt plans to move from Palo Alto to Boca Raton by the end of 2026, which could burden staff and facilitiesSourced / Inference
Competition among approachesOther approaches (superconducting gate-model, ion, neutral-atom and others) are also advancing. Which will reach utility scale first is not settledInference

12. Glossary

Quantum annealing
A special-purpose quantum computer for finding the best combination (optimization) among many options.
Gate model
A general-purpose quantum computer that executes instructions (gates) in sequence and can compute anything. Needs error correction.
Qubit
The basic unit of quantum computation.
Physical / logical qubit
A physical qubit is one piece of hardware and is sensitive to noise. A logical qubit bundles many physical qubits so that errors can be corrected.
Dual-rail qubit
A qubit held in a pair of cavities, which makes “erasure” errors easy to detect.
Erasure
An error in which a qubit leaves the computational space. Its occurrence is easy to detect.
QCaaS / Leap
Quantum computing as a service in the cloud (Leap is D-Wave’s service).
Hybrid solver
Software that solves a problem by combining a quantum computer with conventional computers.
Quantum spin glass
A model of tiny magnets that influence one another in complicated ways. The subject of the Science paper’s simulation.
Tensor network
A classical method that approximates a quantum state with a web of small pieces.
Quantum supremacy / advantage
A claim that a quantum computer performs calculations classical computers cannot, or are far slower at. Read it as the company’s claim.
Warrant
A right to buy shares at a set price in future. Changes in its fair value show up in profit and loss.
LOI (letter of intent)
A document stating intent before a formal contract.
SPAC
Special purpose acquisition company: a shell company used to merge with a private company and make it listed.
Forms 10-K / 10-Q / 8-K
The annual report, quarterly report and current report filed with the U.S. SEC.
A concept image of D-Wave’s quantum computing work (AI-generated concept; it does not depict actual facilities or products).
Fig. 3. Conceptual illustration generated with ImageGen. A concept image of D-Wave’s quantum computing work (AI-generated concept; it does not depict actual facilities or products). Not an actual product, facility, dimensional specification or measurement. Distinguish enlarged models from full-scale scenes.

13. References

  1. D-Wave Quantum Inc. Form 10-K for the fiscal year ended December 31, 2025 (filed with the U.S. SEC, 26 February 2026). Business overview, financials, employees, locations, acquisition, products, risk factors. https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
  2. D-Wave Quantum Inc. Form 10-Q for the quarter ended June 30, 2026 (filed with the U.S. SEC, 6 August 2026). Second-quarter financials, transfer to Nasdaq, locations. https://www.sec.gov/Archives/edgar/data/1907982/000190798226000129/qbts-20260630.htm
  3. D-Wave Quantum Inc. Press release attached to Form 8-K, “D-Wave’s Quantum Supremacy Result Stands” (26 May 2026). The company’s statement on the rebuttal papers. https://www.sec.gov/Archives/edgar/data/1907982/000190798226000071/exh_991xresponse.htm
  4. D-Wave Quantum Inc. Press release attached to Form 8-K, “D-Wave Quantum and Department of Commerce Sign Letter of Intent for $100 Million…” (21 May 2026). https://www.sec.gov/Archives/edgar/data/1907982/000190798226000066/exhibit991pressrelease.htm
  5. D-Wave Quantum Inc. Press release attached to Form 8-K, “D-Wave Quantum Finalizes Definitive Agreement with U.S. Department of Commerce for Up to $100 Million…” (8 September 2026). https://www.sec.gov/Archives/edgar/data/1907982/000190798226000141/chipsactpressrelease.htm
  6. D-Wave Quantum Inc. Press release attached to Form 8-K, “D-Wave Demonstrates Major Hardware Breakthrough for Quantum Error Correction…” (5 August 2026). https://www.sec.gov/Archives/edgar/data/1907982/000190798226000123/d-wavedemonstratesmajorhar.htm
  7. D-Wave Quantum Inc. Press release attached to Form 8-K, “D-Wave Launches Gate-Model Simulator Beta Program…” (1 October 2026). https://www.sec.gov/Archives/edgar/data/1907982/000190798226000159/exhibit101d-wavelaunchesga.htm
  8. D-Wave Quantum Inc. Press release attached to Form 8-K, “D-Wave Awarded Year 2 Microelectronics Commons Project Funding…” (26 May 2026). https://www.sec.gov/Archives/edgar/data/1907982/000190798226000069/exh_991.htm
  9. D-Wave Quantum Inc., NTT DOCOMO Press release attached to Form 8-K, “D-Wave Technology Drives NTT DOCOMO’s Second Production Quantum Application in Network Operations” (18 August 2026). https://www.sec.gov/Archives/edgar/data/1907982/000190798226000135/d-wavetechnologydrivesnttd.htm
  10. D-Wave Quantum Inc., AT&T Press release attached to Form 8-K, “AT&T Signs Agreement to Expand Use of D-Wave’s Quantum Computing Technology…” (27 July 2026). https://www.sec.gov/Archives/edgar/data/1907982/000190798226000117/attsignsagreementtoexpandu.htm
  11. King et al. (D-Wave and collaborators) “Beyond-classical computation in quantum simulation”, Science 388, 199-204 (2025). https://doi.org/10.1126/science.ado6285
  12. Tindall et al. “Dynamics of disordered quantum systems with two- and three-dimensional tensor networks”, Science 392, 868-872 (21 May 2026). https://doi.org/10.1126/science.adx2728
  13. Mauron, Carleo “Challenging the Quantum Advantage Frontier with Large-Scale Classical Simulations of Annealing Dynamics”, arXiv:2503.08247 (11 March 2025). https://arxiv.org/abs/2503.08247
  14. Wiersema “Numerical simulation of D-Wave’s quantum advantage experiment with time-dependent variational Monte Carlo”, arXiv:2609.01719 (1 September 2026). https://arxiv.org/abs/2609.01719
  15. Krinitsin et al. “Comment on ‘Beyond-classical computation in quantum simulation’”, arXiv:2607.08811 (9 July 2026). https://arxiv.org/abs/2607.08811
  16. Nocera et al. (D-Wave) “Evaluating Classical Simulations with a Quantum Processor”, arXiv:2508.15759 (21 August 2025). https://arxiv.org/abs/2508.15759
  17. Quantum Circuits (D-Wave) and others “An entangling gate for dual-rail erasure qubits”, Nature 656, 47-53 (5 August 2026). https://doi.org/10.1038/s41586-026-10822-y
  18. Defense Advanced Research Projects Agency (DARPA) Quantum Benchmarking Initiative (QBI) public page (list of participants current as of 8 October 2026). https://www.darpa.mil/research/programs/quantum-benchmarking-initiative
  19. D-Wave Official website (source of the logo; company overview). https://www.dwavequantum.com/

14. Claim-to-source audit

Claim in the textTypeSource
Legal name, headquarters (Palo Alto), the plan to move to Boca Raton by the end of 2026, locations (Burnaby, Richmond, New Haven), about 388 employees (5 February 2026)SourcedReference 1, 2 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm https://www.sec.gov/Archives/edgar/data/1907982/000190798226000129/qbts-20260630.htm
Listing through the SPAC (DPCM) merger on 5 August 2022, and the move from the NYSE to Nasdaq in July 2026SourcedReference 1, 2 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm https://www.sec.gov/Archives/edgar/data/1907982/000190798226000129/qbts-20260630.htm
Revenue, breakdown, R&D expense, operating loss, net loss and year-end cash (years to December 2024 and 2025)SourcedReference 1 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
The non-cash warrant fair-value loss of US$270.5 million, cash used in operations of US$72.0 million, and financing cash of US$779.1 millionSourcedReference 1 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
Second-quarter and first-half 2026 revenue, R&D expense, net loss, and cash and securities at 30 JuneSourcedReference 2 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000129/qbts-20260630.htm
Acquisition of Quantum Circuits (completed 20 January 2026; US$250.0 million in cash and 10,430,444 common shares)SourcedReference 1 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
The target of delivering a first dual-rail system in 2026, and gate-model system sales planned for 2026Not yet confirmedA company target, not confirmed. The statement of the target is in Reference 1 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
Advantage2: launched May 2025, more than 4,400 qubits, connectivity 15 to 20, energy scale up 40%, coherence doubledSourcedReference 1 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
System power of 12.5 kilowatts, the same cooling approach since the first machine, about 50 times the qubitsSourcedReference 1 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
The “quantum supremacy” claim based on the March 2025 Science paper, the description of about one million years, and the statement that broad quantum advantage has not been reachedSourcedReference 1 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
The Science paper: an annealer produces samples close to Schrödinger-equation solutions; approximate methods fall short of its accuracy; its closing statementSourcedReference 11 https://doi.org/10.1126/science.ado6285
Tindall et al. (Science, 21 May 2026): a tensor-network method approximates the same models with modest computing resourcesSourcedReference 12 https://doi.org/10.1126/science.adx2728
Mauron and Carleo (March 2025) and Wiersema (September 2026) on approximation by variational Monte Carlo, and the comment by Krinitsin et al. (July 2026)SourcedReference 13, 14, 15 https://arxiv.org/abs/2503.08247 https://arxiv.org/abs/2609.01719 https://arxiv.org/abs/2607.08811
The company’s statement of 26 May 2026 (the result has not been overturned; the rebuttals do not reproduce the hardest problems and the same observables)SourcedReference 3 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000071/exh_991xresponse.htm
The statement’s reference to the arXiv paper by D-Wave-side researchers (August 2025)SourcedReference 3, 16 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000071/exh_991xresponse.htm https://arxiv.org/abs/2508.15759
The Nature paper: a two-qubit gate for dual-rail qubits, about 500 ns, erasure of about 0.5%, remaining Pauli errors below 0.1%SourcedReference 17 https://doi.org/10.1038/s41586-026-10822-y
The company release’s “about 99.9% fidelity” and its targets for the gate model (100,000 and 10,000 qubits)SourcedReference 6 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000123/d-wavedemonstratesmajorhar.htm
The gate-model simulator beta (1 October 2026) and its participantsSourcedReference 7 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000159/exhibit101d-wavelaunchesga.htm
Letter of intent with the Department of Commerce for up to US$100 million (21 May 2026) and definitive agreement (8 September 2026), the government’s minority equity stake, and the development of a 100,000-qubit annealer and a 10,000-qubit gate-model machineSourcedReference 4, 5 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000066/exhibit991pressrelease.htm https://www.sec.gov/Archives/edgar/data/1907982/000190798226000141/chipsactpressrelease.htm
Second-year Microelectronics Commons (NORDTECH) funding (to Quantum Circuits, LLC)SourcedReference 8 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000069/exh_991.htm
NTT DOCOMO’s second production application (location-registration signals down 65.3%, paging signals down 7.0%) and AT&T’s expanded agreement (processing time from about an hour to under 15 seconds)SourcedReference 9, 10 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000135/d-wavetechnologydrivesnttd.htm https://www.sec.gov/Archives/edgar/data/1907982/000190798226000117/attsignsagreementtoexpandu.htm
Customer examples (Mastercard, BASF and others), systems at the Jülich Supercomputing Centre, USC ISI and Davidson Technologies, wafer manufacturing by SkyWater, and purchase through AWS MarketplaceSourcedReference 1 https://www.sec.gov/Archives/edgar/data/1907982/000190798226000026/qbts-20251231.htm
D-Wave’s name does not appear in DARPA’s QBI list current as of 8 October 2026SourcedReference 18 https://www.darpa.mil/research/programs/quantum-benchmarking-initiative
Qubit count, error rate and price of the first gate-model system, completion dates of the 100,000- and 10,000-qubit machines, logical qubits on real hardwareNot yet confirmedNot stated in the primary sources we checked; this article does not guess
Investments in, joint ventures with or divestments of other companiesNot yet confirmedNot in the materials we checked; this article does not claim they do not exist
System sales as a share of 2025 revenue (16,182 / 24,587 = about 66%), cloud about 22%, professional services about 11%Our calculationOur calculation. The inputs are in Reference 1
First-half 2026 revenue about one third of the prior-year period (5,934 / 18,096)Our calculationOur calculation. The inputs are in Reference 2
Year-end 2025 cash plus securities of about US$884.5 million (635.3 + 249.1)Our calculationOur calculation. The inputs are in Reference 1
Classification of companies into four typesOur calculationOur own classification; company names are examples from this series
Reading that optimization-machine revenue is channeled into general-purpose developmentInferenceOur own reading of the revenue mix, the rise in R&D expense and the acquisition spending
Reading that revenue swings with the timing of machine salesInferenceOur own reading of the system-sales share and the drop in first-half revenue
Reading that reaching the targets requires growth by orders of magnitudeInferenceOur own reading, comparing the targets with the scale of the experiments we could confirm
Risks from outside manufacturing, public-funding conditions, the headquarters move and competing approachesInferenceOur own reading of the contract structure and the progress of other approaches

Last updated: 16 October 2026 (date checked) / Troy Technical
Figures in this article are based on D-Wave Quantum’s Forms 10-K, 10-Q and 8-K filed with the U.S. Securities and Exchange Commission, papers in Science and Nature, and arXiv papers. Market-research estimates, share prices and valuations, and press figures are not used. Device names, roadmaps, contracts and corporate structure reflect what had been published as of 16 October 2026; because this field moves fast, check the company’s filings for the latest. Passages marked “Inference” are our reading of primary sources and are not statements by the company. This article does not conclude whether the quantum advantage claim is right, and neither evaluates nor blames any company or researcher.

Illustration update: 17 October 2026. References to vector drawings in the article and source tables describe the retained original SVGs. See each current caption for the foreground image format and reading guide. ImageGen illustrations are not measurements or photographs of actual products; original SVGs, values and sources remain available in expandable references.
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