D-Wave Introduces New Developer Tools to Advance Quantum AI Exploration and Innovation
- Open-source toolkit seamlessly integrates quantum systems into AI model training
- New open-source ML demo represents a milestone in quantum AI development
By releasing this new set of tools, D-Wave aims to help organizations accelerate the use of annealing quantum computers in a growing set of AI applications. The quantum AI toolkit, part of D-Wave’s Ocean™ software suite, provides direct integration between D-Wave’s quantum computers and PyTorch, a production-grade ML framework widely used to build and train deep learning models. The toolkit includes a PyTorch neural network module for using a quantum computer to build and train ML models known as a restricted Boltzmann machine (RBM).
Used to learn patterns and connections from complex data sets, RBMs are employed for generative AI tasks such as image recognition and drug discovery. Training RBMs with large datasets can be a computationally complex and time-consuming task that could be well-suited for a quantum computer. By integrating with PyTorch, D-Wave’s new toolkit aims to make it easy for developers to experiment with quantum computing to address computational challenges in training AI models.
“With this new toolkit and demo, D-Wave is enabling developers to build architectures that integrate our annealing quantum processors into a growing set of ML models,” said Dr. Trevor Lanting, chief development officer at D-Wave. “Customers are increasingly asking us for ways to facilitate the exploration of quantum and AI, recognizing the collaborative potential of these two complementary technologies.”
Turning Quantum AI Potential into Real-World Value
D-Wave continues to advance its quantum AI product roadmap, delivering new solutions to customers while expanding development efforts. The company is working with a growing number of customers on exploratory quantum AI projects including:
- Japan Tobacco Inc.: D-Wave has completed a joint proof-of-concept project with the pharmaceutical division of Japan Tobacco Inc. (JT) that used D-Wave’s quantum computing technology and AI in the drug discovery process. The quantum proof-of-concept outperformed classical methods for AI model training in drug discovery.
- Jülich Supercomputing Centre at Forschungszentrum Jülich: Researchers used D-Wave’s quantum technology to develop a ML tool that predicts protein-DNA binding with greater accuracy than traditional methods using classical computers. 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 recently published a paper in npj Quantum Information showing significant speedups using D-Wave’s quantum computers 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.
Organizations looking to explore the integration of quantum computing into AI workloads can apply to the Leap Quantum LaunchPad™ program.
Kevin Chern, Senior Benchmarking Researcher at D-Wave, will showcase the toolkit and demo during his presentation titled “An Introduction to Quantum Annealers in Optimization and Machine Learning,” at The AI Research Summit at Ai4 2025, on August 13, 2025 from 11:05 a.m. to 11:25 a.m. PT.
About D-Wave Quantum Inc.
D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. We are the world’s first commercial supplier of quantum computers, and the only company building both annealing and gate-model quantum computers. Our mission is to help customers realize the value of quantum, today. Our quantum computers — the world’s largest — feature QPUs with sub-second response times and can be deployed on-premises or accessed through our quantum cloud service, which offers
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Source: D-Wave Quantum Inc.
