Optimization is one of the biggest opportunities in quantum computing. BCG projects quantum computing could create up to $850B in economic value by 2040. Optimization alone is estimated at $100B–$220B, comparable to the global cybersecurity or semiconductor equipment markets. D-Wave’s Advantage2 annealing quantum computer has 4,400 qubits and, with hybrid solvers, can support problems with up to 2M variables. Our roadmap moves toward Advantage3 systems with 20,000 and ultimately 100,000 qubits, expanding the size and complexity of optimization problems customers can tackle. The market is large. The use cases are real. And our customers are already seeing value. $QBTS #quantumcomputing

Good piece from @QZeitgeist on why D-Wave’s gate-model roadmap is focused on usable, error-corrected qubits, not simply physical qubit counts. That distinction matters. To make gate-model quantum computing commercially useful, the industry needs reliable computation at scale. Our roadmap targets 100 logical qubits capable of more than 1M operations, using our differentiated superconducting dual-rail architecture designed to embed error detection directly into the qubit. This is the core of our strategy: combine speed, scalable control and efficient error correction to build a clear path to fault-tolerant quantum computing. Physical qubits are important. But useful, reliable computation is the goal. $QBTS #quantumcomputing quantumzeitgeist.com/logical…

At D-Wave’s Investor Day last week, my goal was simple: help people separate the signal from the noise in quantum computing. I highlighted three elements that distinguish real quantum progress from hype: 1) the ability to address customers’ full range of computational problems; 2) commercially viable products; and 3) evidence of customer success. The companies that matter will move beyond promises to products, customers and results. D-Wave is delivering on that today. Watch the full Investor Day recording: youtube.com/watch?v=afAgs9LB… $QBTS #quantumcomputing

One concept that customers should understand in gate-model quantum computing: error-aware algorithms. Most quantum systems are noisy, but algorithms often do not know where or when errors occur. That limits what developers and researchers can do. D-Wave’s superconducting dual-rail qubit architecture is different, with built-in error detection that can provide information about when certain errors occurred and which qubit was affected. That can enable a new class of error-aware algorithms - algorithms that can use error information to adapt, discard certain results, and help improve performance. This is why our gate-model approach stands out. It can give developers better tools to manage errors and build more useful quantum algorithms. $QBTS #quantumcomputing

Looking forward to joining London Tech Week tomorrow for the AI Arena panel, “Will Quantum be the Driving Force Behind the Next Wave of AI Breakthroughs?” Quantum and AI are complementary, and their convergence is beginning. AI is creating enormous value, but enterprises are also under pressure to improve ROI, reduce energy demands, and make AI workloads more efficient. That is where quantum may play an important role. We are already seeing early examples: D-Wave’s work with Shionogi showed a 10x increase in desirable molecule generation compared with a classical machine learning algorithm. The next leap in AI will not come from scale alone. It will come from smarter, more efficient computing - and quantum may be the key. #LondonTechWeek #quantumcomputing #AI $QBTS

Developing quantum computing technologies is hard. Commercializing them is even harder. That’s why I’m so proud that D-Wave has been certified as a Great Place To Work for 2026, recognition based entirely on feedback from our employees. This certification is a celebration of the extraordinary people of D-Wave and the culture they have built: collaborative, innovative, and deeply committed to doing very hard things. Thank you to the extraordinary D-Wave team for making this such a special place to work. Together, we’re not just advancing quantum computing - we’re making history. $QBTS #quantumcomputing dwavequantum.com/company/new…

The message from UK business leaders is clear: quantum computing is moving higher on the enterprise agenda, with growing expectations for near-term business impact. New research from D-Wave and Censuswide found that 41% of large UK enterprises surveyed believe quantum computing could unlock more than £100M in value in as little as one year, and 65% are already adopting or experimenting with the technology. I’m looking forward to discussing these findings and the accelerating enterprise interest in quantum computing at London Tech Week and our upcoming Qubits Europe event this month. The quantum economy is coming into focus, and the businesses engaging today may be the ones best positioned to lead it. $QBTS #quantumcomputing dwavequantum.com/company/new…

On @CNBC @SquawkStreet yesterday, I discussed our market-defining approach: D-Wave is the only company bringing both annealing and gate-model quantum computing to market — because different problems require different quantum systems. Our annealing systems are helping customers like @ATT, @BASF, and @anduriltech solve complex operational challenges now, and are showing early potential in enhancing AI model training, including work with Shionogi. Beyond annealing, our newly announced gate-model roadmap targets 100 logical qubits capable of successfully performing more than 1 million operations by 2032 — a milestone designed to accelerate commercial, fault-tolerant quantum computing. This is what leadership in quantum looks like: commercial systems driving customer value today, with a platform built for what comes next. #QuantumComputing #AI $QBTS cnbc.com/video/2026/06/01/d-…

Looking forward to joining Rob Schoelkopf at the 2026 Yale Innovation Summit today for a fireside chat on where quantum computing is today and where it’s headed next. This is a particularly meaningful conversation. Rob’s pioneering work at @Yale has helped shape the quantum field for decades, and now, with Rob and the Quantum Circuits team part of D-Wave, we’re bringing together world-class gate-model science with D-Wave’s proven track record of commercializing quantum technology. Yale has long been an important center of quantum innovation, and Connecticut has a real opportunity to become a global hub for next-generation computing. I’m excited to discuss how we can help accelerate that future — for customers, researchers, the regional economy, and the broader quantum ecosystem. #YaleInnovation2026 #QuantumComputing #Innovation $QBTS yaleventures.swoogo.com/yale…

On the heels of last week’s Letter of Intent for $100 million in proposed funding by the U.S. Department of Commerce, today we announced that we’ve been awarded Year 2 funding through NORDTECH’s Microelectronics Commons program to advance scalable superconducting qubit fabrication. Selected by the U.S. Department of War through NORDTECH, SQFab is helping build the materials, packaging and testing foundation needed to move superconducting quantum technologies toward scalable manufacturing. We’re proud to help advance lab-to-fab innovation, strengthen domestic microelectronics infrastructure, and support continued U.S. leadership in quantum computing. $QBTS #quantumcomputing dwavequantum.com/company/new…

D-Wave’s groundbreaking supremacy result HOLDS. We took a few days to respond because we wanted to carefully review the Science version of the Tindall et al. paper and understand whether there were material extensions or changes beyond the arXiv version introduced over a year ago. After that review, the conclusion is clear: the same technical limitations apply. At the time the arXiv paper appeared and in the months that followed, D-Wave researchers and collaborators clearly demonstrated where the Tindall work falls short of overturning our supremacy result. The only major change in the work that has now been published in Science is the addition of large diamond lattice data. This supports the claim that they are using BP-TNS to extract a Kibble-Zurek exponent in a 3D system. But, the same criticisms apply as a year ago: They don’t compute the same observables, nor all the geometries, nor the largest size geometries, nor all the couplings computed by the D-Wave team. For pointers to more technical detail on the shortcomings of the Tindall work, see posts by my colleagues Andrew King and Trevor Lanting on LinkedIn today. It does nobody any good to use click-bait titles that overstate reality, and it’s just as bad to repeat and promote claims that misrepresent the technical record. We should all hold ourselves to a higher standard. $QBTS #quantumcomputing linkedin.com/pulse/still-bey… linkedin.com/pulse/d-waves-b…

Excited to see @CTquantum, @UConn and @Yale’s efforts to turn quantum research into real-world applications. We’re proud that our Advantage2 annealing quantum computer and Stride hybrid solver will support projects focused on power grid optimization and large-scale constrained optimization for aerospace and defense. This is exactly the kind of collaboration the quantum ecosystem needs: leading research institutions, industry partners and regional innovation programs working together on practical, high-impact problems. Quantum innovation advances fastest when we connect world-class science with real-world challenges. #QuantumComputing #Innovation $QBTS quantumct.org/2026/05/20/qua…

We’re proud to share that D-Wave has signed a Letter of Intent (LOI) for $100 million of proposed funding under the U.S. CHIPS and Science Act, which is administered by the U.S. Department of Commerce, subject to execution of definitive agreements. The U.S. government would also obtain an equity stake in the company in connection with the proposed funding. We are excited to partner with the U.S. government and are thrilled to see @CommerceGov’s intent to invest in the development of both D-Wave's annealing and gate model quantum computers. We expect that the proposed funding would accelerate the scalability of our technology, the manufacturing of our systems, the delivery of quantum applications to our global customers, and the growth of our teams and R&D efforts in Florida, Connecticut, and British Columbia. It’s a momentous day for D-Wave and an important reinforcement of our nation’s global quantum computing leadership. We thank the U.S. government for its trust in our technology and look forward to showcasing powerful innovations and addressing real-world challenges with quantum-powered solutions. #quantumcomputing #ChipsAct $QBTS

One year ago, we announced the general availability of our 4,400 qubit Advantage2™ quantum computer. Today, it stands at the center of a defining moment for D-Wave and for practical quantum computing. With the Advantage2 system, we achieved the world’s first demonstration of quantum computational supremacy on a useful, real-world problem, performing a magnetic materials simulation in minutes that would have taken one of the world’s most powerful supercomputers nearly one million years and more than the world’s annual electricity consumption to solve. This is Quantum Realized: performance beyond classical, production-grade reliability, and commercial applications in operation. Thank you to the D-Wave team, our customers, partners and research community for helping make the Advantage2 system a platform for real-world quantum progress. #QuantumRealized #QuantumComputing $QBTS

The shakeout is coming. As the quantum computing market grows, so does the noise. I believe that the winners will be the companies that can move from promise to proof, combining technical differentiation, commercial traction and the ability to execute at scale. That’s where D-Wave stands apart. With annealing, we’re delivering commercial value today. By offering both annealing and gate-model quantum computing, we have a highly differentiated path to long-term leadership. We’re building to win. At Investor Day, we’ll show why D-Wave has what it takes. Tune in: investorday2026.dwavequantum… #QuantumComputing $QBTS

I enjoyed joining @SPGlobal’s Next in Tech podcast to discuss where quantum computing is today and where it’s headed. One point I emphasized: enterprises should evaluate quantum computing by outcomes, not just technical benchmarks. Can the system solve meaningful problems better than classical approaches? Is it reliable and available enough for business operations? Are customers using it and seeing results? D-Wave’s technology is already delivering value today, particularly for complex optimization problems in areas like logistics, life sciences, and manufacturing. Now is the time for organizations to start exploring where quantum can help address their hardest computational problems. #QuantumComputing #Manufacturing #Logistics $QBTS spglobal.com/market-intellig…

One reason I’m excited about D-Wave’s dual-rail gate-model approach: it targets one of quantum’s biggest tradeoffs. @Google’s work on superconducting systems shows the power of speed. John Preskill’s @TeamOratomic’s analysis highlights the efficiency potential of neutral atoms. But speed matters. A system that takes months to run a critical computation may not be practical, even if it uses fewer qubits. That’s the tradeoff: superconducting approaches are fast but resource-intensive. Ions and atoms can be efficient but slow. D-Wave’s dual-rail approach is designed to change that equation, combining superconducting speed with greater efficiency, reliability and scalability. If ions and atoms are bicycles, and traditional superconducting systems are prop planes, D-Wave’s dual-rail approach is the jet. Speed. Efficiency. Scale. That’s the path to fault-tolerant quantum computing. #quantumcomputing $QBTS

As you may have heard on yesterday’s earnings call, I shared more details on D-Wave’s dual-rail gate-model roadmap: - By the end of 2028, we plan to have approximately 175 physical qubits, which will allow us to demonstrate our quantum error correction technology as well as logical operations. - By the end of 2030, the integration with D-Wave's scalable control is expected to take us to 10 logical qubits. - By the end of 2032, we will deliver 100 logical qubits. This accelerated roadmap is based on the unique opportunity to merge Quantum Circuits' expertise in engineering high-coherence superconducting quantum devices with D-Wave's extensive toolbox for scaling superconducting quantum processors. With 100 logical qubits, we expect D-Wave to capture as much of the gate-model market as any other gate-model quantum computing company. Learn more by joining us in-person or virtually at Investor Day on June 1. #quantumcomputing $QBTS investorday2026.dwavequantum…

There’s a lot of discussion right now about when quantum computing will deliver practical value. That moment is already here. We’ve demonstrated quantum computational supremacy on a useful, real-world problem — magnetic materials simulation — with results published in Science. Our Advantage2 annealing quantum computer performed calculations in minutes that would take one of the world’s most powerful classical supercomputers nearly one million years and more than the world’s annual electricity consumption to solve. Materials simulation has real-world relevance to areas like electronics, superconductors, sensors, motors and energy systems. For D-Wave, this is what quantum realized looks like: scientific proof, real-world relevance and a clear path to helping customers solve important problems today. #quantumcomputing $QBTS dwavequantum.com/beyond-clas…

Earlier this year, we announced @FloridaAtlantic’s purchase of a $20 million D-Wave Advantage2 system, an investment that has the potential to be transformative for both the university and the state of Florida. It gives FAU the opportunity to build a leading center for quantum computing education, research, and applied innovation, while helping position Florida as a growing hub for quantum talent and industry collaboration. That’s the kind of commitment that helps build a lasting quantum ecosystem. #QuantumComputing $QBTS sponsored.chronicle.com/the-…