D-Wave Quantum Inc. (NYSE: QBTS) has announced the release of a new set of tools to help developers explore and advance quantum artificial intelligence (AI) and machine learning (ML) innovation. The release includes an open-source quantum AI toolkit and a demo, aimed at accelerating 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 widely-used ML framework. Notably, 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). RBMs are employed for generative AI tasks such as image recognition and drug discovery. The integration with PyTorch aims to make it easy for developers to experiment with quantum computing to address computational challenges in training AI models.
Dr. Trevor Lanting, Chief Development Officer at D-Wave, expressed that customers are increasingly seeking ways to facilitate the exploration of quantum and AI, recognizing the collaborative potential of these two complementary technologies.
D-Wave also shared insights into its advancing quantum AI product roadmap, showcasing new solutions and expanding development efforts. The company is working with a growing number of customers on exploratory quantum AI projects, including notable collaborations with Japan Tobacco Inc., Jülich Supercomputing Centre at Forschungszentrum Jülich, and TRIUMF.
Furthermore, Kevin Chern, Senior Benchmarking Researcher at D-Wave, is set to showcase the toolkit and demo during his presentation at the AI Research Summit at AI4 2025.
Following these announcements, the company's shares moved -4.71%, and are now trading at a price of $16.38. Check out the company's full 8-K submission here.
