PALO ALTO, Calif. – August 4, 2025 – D-Wave Quantum Inc. (NYSE: QBTS) introduced it has launched a set of choices to assist builders discover quantum synthetic intelligence and machine studying innovation, together with an open-source quantum AI toolkit and a demo.
Accessible now for obtain, the quantum AI toolkit permits builders to combine quantum computer systems into ML architectures. The demo illustrates how builders can leverage this toolkit to experiment with utilizing D-Wave quantum processors to generate easy photographs, reflecting what D-Wave believes is a pivotal step within the improvement of quantum AI capabilities.
By releasing this new set of instruments, D-Wave goals to assist organizations speed up using annealing quantum computer systems in a rising set of AI purposes. The quantum AI toolkit, a part of D-Wave’s Ocean software program suite, offers direct integration between D-Wave’s quantum computer systems and PyTorch, a production-grade ML framework broadly used to construct and practice deep studying fashions. The toolkit features a PyTorch neural community module for utilizing a quantum pc to construct and practice ML fashions often called a restricted Boltzmann machine (RBM).
Used to study patterns and connections from advanced knowledge units, RBMs are employed for generative AI duties similar to picture recognition and drug discovery. Coaching RBMs with giant datasets is usually a computationally advanced and time-consuming job that could possibly be well-suited for a quantum pc. By integrating with PyTorch, D-Wave’s new toolkit goals to make it straightforward for builders to experiment with quantum computing to deal with computational challenges in coaching AI fashions.
“With this new toolkit and demo, D-Wave is enabling builders to construct architectures that combine our annealing quantum processors right into a rising set of ML fashions,” stated Dr. Trevor Lanting, chief improvement officer at D-Wave. “Clients are more and more asking us for methods to facilitate the exploration of quantum and AI, recognizing the collaborative potential of those two complementary applied sciences.”
D-Wave continues to advance its quantum AI product roadmap, delivering new options to clients whereas increasing improvement efforts. The corporate is working with a rising variety of clients on exploratory quantum AI tasks together with:
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Japan Tobacco Inc.: D-Wave has accomplished a joint proof-of-concept mission with the pharmaceutical division of Japan Tobacco Inc. (JT) that used D-Wave’s quantum computing expertise and AI within the drug discovery course of. The quantum proof-of-concept outperformed classical strategies for AI mannequin coaching in drug discovery.
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Jülich Supercomputing Centre at Forschungszentrum Jülich: Researchers used D-Wave’s quantum expertise to develop a ML instrument that predicts protein-DNA binding with larger accuracy than conventional strategies utilizing classical computer systems. The workforce built-in quantum computing with help vector machines to attain improved ends in varied metrics, considerably enhancing classification efficiency.
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TRIUMF: Canada’s particle accelerator middle and its accomplice establishments just lately revealed a paper in npj Quantum Information displaying vital speedups utilizing D-Wave’s quantum computer systems over classical approaches for simulating high-energy particle-calorimeter interactions—probably resulting in main efficiencies the place the AI mannequin is used to create artificial knowledge.
Organizations trying to discover the mixing 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 throughout his presentation titled “An Introduction to Quantum Annealers in Optimization and Machine Studying,” at The AI Research Summit at Ai4 2025, on August 13, 2025 from 11:05 a.m. to 11:25 a.m. PT.
