D-Wave Quantum Inc., a leader in quantum computing systems, software, and services, has announced its roadmap to extend its Leap quantum cloud service for artificial intelligence (AI) and machine learning (ML). The company aims to strengthen the connection between quantum optimization, AI, and ML by introducing new Quantum AI solutions. This development comes at a time when the broader AI industry is facing a computing crunch, with escalating compute and energy costs needed to satisfy growing use cases.
D-Wave’s Quantum AI solutions will 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. The company’s roadmap focuses on three key development areas: quantum distributions for generative AI, restricted Boltzmann machine architectures, and GPU integration with the Leap quantum cloud service.
Dr. Alan Baratz, CEO of D-Wave, believes 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. The company’s technology has been used by organizations such as Mastercard, Deloitte, and Lockheed Martin.
Extending Leap Quantum Cloud Service for AI/ML Workloads
D-Wave Quantum Inc., a company specializing in quantum computing systems, software, and services, has announced its roadmap to extend the Leap quantum cloud service to support quantum-enhanced and energy-efficient artificial intelligence (AI) model training. This development integrates AI and optimization to address critical customer use cases.
The extension of the Leap quantum cloud service is intended to help customers tackle a variety of AI/ML workloads, including pre-training optimization, more accurate and efficient model training, and opening new AI business use cases that require the integration of AI and business optimization. One such example is quantum supply chain optimization to support AI-predicted product demand requirements.
Addressing the Computing Crunch in AI Industry
The broader AI industry is currently facing a computing crunch, where the compute and associated energy costs needed to satisfy a growing set of use cases are 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.
Key Development Areas for Quantum AI
Quantum Distributions for Generative AI
The company is 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 biological data analysis, this approach has the potential to enhance classification performance significantly.
Research and Development in Quantum Computing
Researchers at Julich, Germany, have used D-Wave’s quantum technology to develop a machine-learning tool that predicts protein-DNA binding more accurately than traditional methods. Similarly, TRIUMF, Canada’s particle accelerator center, has demonstrated significant speed-ups of D-Wave’s QPU over classical approaches for simulating high-energy particle-calorimeter interactions.
Fine-Tuning Quantum Computers for RBMs
Honda Innovation Lab and Tohoku University have developed a method to fine-tune D-Wave’s quantum computers to generate highly accurate samples for training restricted Boltzmann machines (RBMs). This approach has yielded better results than traditional algorithms and significant improvements in model performance.
The Potential Impact of Quantum AI Solutions
Dr. Alan Baratz, CEO of D-Wave, says, “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.” With results demonstrating the ability of D-Wave’s annealing quantum computer to outperform classical techniques, coupled with rapidly increasing customer demand for Quantum AI solutions that integrate with their business optimization requirements, the impact of D-Wave’s Quantum AI solutions could be transformative.
D-Wave is a leader in developing and delivering quantum computing systems, software, and services. The company’s mission is to unlock the power of quantum computing today to benefit business and society. D-Wave’s technology has been used by some of the world’s most advanced organizations, including 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.
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