D-Wave Unveils Quantum AI Developer Toolkit with Open-Source Integration and Demo

D-Wave Quantum Inc. released an open-source quantum AI toolkit and demo to help developers explore quantum AI and machine learning innovation. The toolkit enables developers to integrate quantum computers into ML architectures, with a demo illustrating how to leverage the toolkit to generate simple images. D-Wave aims to accelerate the use of annealing quantum computers in AI applications.

D-Wave Quantum Inc. (NYSE: QBTS) has announced the release of an open-source quantum AI toolkit and demo designed to help developers explore and advance quantum artificial intelligence (AI) and machine learning (ML) innovation. The toolkit enables seamless integration of quantum computers into modern ML architectures, with a demo showcasing how developers can use the toolkit to generate simple images.

The quantum AI toolkit, part of D-Wave’s Ocean software suite, provides direct integration between D-Wave’s quantum computers and PyTorch, a widely used production-grade ML framework. This integration allows developers to build and train ML models known as restricted Boltzmann machines (RBMs) using quantum computers. RBMs are used for generative AI tasks such as image recognition and drug discovery, making the toolkit particularly useful for addressing computationally complex and time-consuming tasks.

By releasing this new set of tools, D-Wave aims to facilitate the exploration of quantum and AI collaboration, recognizing the potential of these technologies to complement each other. The toolkit and demo are available for download now and are expected to help organizations accelerate the use of annealing quantum computers in various AI applications.

D-Wave has already begun collaborating with several organizations on exploratory quantum AI projects. For instance, Japan Tobacco Inc. used D-Wave’s quantum computing technology and AI in the drug discovery process, outperforming classical methods for AI model training. Additionally, researchers at the Jülich Supercomputing Centre and TRIUMF have achieved significant improvements in protein-DNA binding predictions and high-energy particle-calorimeter simulations, respectively, by integrating quantum computing with classical methods.

Organizations interested in exploring 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.

References:
[1] https://www.dwavequantum.com/company/newsroom/press-release/d-wave-introduces-new-developer-tools-to-advance-quantum-ai-exploration-and-innovation/
[2] https://insideainews.com/2025/08/05/d-wave-introduces-quantum-ai-developer-toolkit/