D-Wave Announces Roadmap To Extend Leap Quantum Cloud Service For AI/ML

Including support for quantum-enhanced and energy efficient AI model training as well as integrating AI and optimization to address important customer use cases

PALO ALTO is announced , Calif. – July 29 , 2024 – D – Wave Quantum Inc. ( NYSE : QBTS ) ( “ D – Wave ” or the “ company ” ) , a leader in quantum computing system , software , and service and the world ’s first commercial supplier of quantum computer , today announce it is strengthen the connection between quantum optimization , artificial intelligence ( AI ) , and machine learning ( ML ) , by extend its product development roadmap with enhancement to the Leap ™ quantum cloud service that will bring new Quantum AI solution to market . The roadmap is intend to help customer address a variety of AI / ML workload include pre – training optimization , more accurate and efficient model training , and open new AI business use case that require the integration of AI and business optimization , such as quantum supply chain optimization to support AI – predict product demand requirement .

In response to grow demand from its customer , D – Wave ’s Quantum AI development initiative is comes come at a time when the broad AI industry is confront a computing crunch . The amount is escalating of compute and the associated energy cost need to satisfy a grow set of use case is rapidly escalate . d – Wave ’s Quantum AI solutions is aim aim to leverage anneal quantum computing ’s unique capability in solve optimization problem to help customer discover well , fast and more energy efficient AI and ML workload .

D – wave is announcing a new Quantum AI extension to its product development roadmap, focused on three key development areas:

• Quantum Distributions for Generative AI: Development in this area is focused on designing novel, modern generative AI architectures that directly use quantum processing unit (QPU) samples from quantum distributions that cannot be generated classically. Initially focused on molecular discovery use cases, we believe there is immense potential in harnessing quantum distributions for a broad array of generative AI applications.

• Restricted Boltzmann Machine ( RBM ) architecture : A grow set of customer are explore new RBM architecture that directly leverage D – Wave ’s QPU for application range from cybersecurity to drug discovery and high – energy physics datum analysis , which could potentially lead to reduce energy consumption in training and run AI model . d – Wave is plans plan to ensure that the quantum and hybrid – quantum solver available in the Leap cloud service support these emerge application .

• GPU Integration with the Leap Quantum Cloud Service: D – wave is augmenting the Leap quantum cloud service by incorporating additional graphics processing unit (GPU) resources for the training and support of AI models alongside optimization workloads. In addition, efforts are underway to further reduce latency between QPUs and classical computing resources, a critical step in enabling hybrid-quantum technology for AI/ML.

Specific customer use cases related to D – wave’s Quantum AI solutions include:

• As a pioneering example of improve biological datum analysis , researchers is used in Julich , Germany , used D – Wave ’s quantum technology to develop a machine learning tool that predict protein – dna binding with great accuracy than traditional method . The team is integrated integrate quantum computing with support vector machine to achieve improved result in various metric , significantly enhance classification performance .
• TRIUMF, Canada’s particle accelerator center, and its partner institutions, are showing significant speed-upsof D – wave’s QPU over classical approaches for simulating high-energy particle-calorimeter interactions – potentially leading to major efficiencies where the AI model is used to create synthetic data.
• Honda Innovation Lab and Tohoku University developed a method to fine-tune D – wave’s quantum computers to generate highly accurate samples for training RBMs. This approach yielded better results than traditional algorithms and significant improvements in model performance.

“We’re seeing early evidence that annealing quantum computing could play a key role in helping AI/ML with more efficient model training, reduced energy consumption and faster time-to-solution,” said Dr. Alan Baratz, CEO of D – wave. “With results demonstrating our annealing quantum computer’s ability to outperform classical techniques, coupled with rapidly increasing demand from our customers for Quantum AI solutions that integrate with their business optimization requirements, we believe the impact of D – wave’s Quantum AI solutions could be transformative, bringing a powerful new set of new computing tools for generative AI.”

About D – wave Quantum Inc.

D – wave is a leader in the development and delivery of quantum computing systems, software, and services, and is the world’s first commercial supplier of quantum computers—and the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society.

We is do do this by deliver customer value with practical quantum application for problem as diverse as logistics , artificial intelligence , material sciences , drug discovery , scheduling , cybersecurity , fault detection , and financial modeling . d – Wave ’s technology has been used by some of the world ’s most advanced organization include Mastercard , Deloitte , Davidson Technologies , ArcelorMittal , Siemens Healthineers , Unisys , NEC Corporation , Pattison Food Group Ltd. , DENSO , Lockheed Martin , Forschungszentrum Jülich , University of Southern California , and Los Alamos National Laboratory .

Forward-Looking Statements

Certain statements in this press release are forward-looking, as defined in the Private Securities Litigation Reform Act of 1995. These statements involve risks, uncertainties, and other factors that may cause actual results to differ materially from the information expressed or implied by these forward-looking statements and may not be indicative of future results. These forward-looking statements are subject to a number of risks and uncertainties, including, among others, various factors beyond management’s control, including the risks set forth under the heading “Risk Factors” discussed under the caption “Item 1A. Risk Factors” in Part I of our most recent Annual Report on Form 10-K or any updates discussed under the caption “Item 1A. Risk Factors” in Part II of our Quarterly Reports on Form 10-Q and in our other filings with the SEC. Undue reliance should not be placed on the forward-looking statements in this press release in making an investment decision, which are based on information available to us on the date hereof. We undertake no duty to update this information unless required by law.

Media Contact:

D – wave

Alex Daigle

media@dwavesys.com

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