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
In response to growing demand from its customers, D-Wave’s Quantum AI development initiative comes at a time when the broader AI industry is confronting a computing crunch. The amount of compute and the associated energy costs needed to satisfy a growing set of use cases is rapidly escalating. D-Wave’s Quantum AI solutions aim to leverage annealing quantum computing’s unique capability in solving optimization problems to help customers discover better, faster and more energy efficient AI and ML workloads.
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) Architectures: A growing set of customers are exploring new RBM architectures that directly leverage D-Wave’s QPU for applications ranging from cybersecurity to drug discovery and high-energy physics data analysis, which could potentially lead to reduced energy consumption in training and running AI models. D-Wave plans to ensure that the quantum and hybrid-quantum solvers available in the Leap cloud service support these emerging applications.
- GPU Integration with the Leap Quantum Cloud Service:D-Wave isaugmenting 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:
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As a pioneering example of improving biological data analysis, researchers in Julich,
Germany , used D-Wave’s quantum technology to develop a machine learning tool that predicts protein-DNA binding with greater accuracy than traditional methods. The team integrated quantum computing with support vector machines to achieve improved results in various metrics, significantly enhancing classification performance. -
TRIUMF ,Canada's particle accelerator center, and its partner institutions, are showing significant speed-ups of 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 andTohoku 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.
About
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 do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials 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 organizations including Mastercard, Deloitte,
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
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