D-Wave Quantum Inc. (NYSE: QBTS) has released a new collection of offerings designed to help developers explore and advance quantum artificial intelligence (AI) and machine learning (ML) innovation. The new offerings, available for download, include an open-source quantum AI toolkit and a demo. This toolkit provides direct integration between D-Wave’s quantum computers and PyTorch, a production-grade ML framework.
The quantum AI toolkit, part of D-Wave’s Ocean™ software suite, includes a PyTorch neural network module for using a quantum computer to build and train Restricted Boltzmann Machines (RBMs). RBMs are employed for generative AI tasks such as image recognition and drug discovery. The toolkit aims to assist developers in addressing the computational challenges associated with training AI models. A demo illustrates how the toolkit can be used with D-Wave quantum processors to generate simple images.
The announcement highlights several projects demonstrating the use of D-Wave’s quantum technology for AI applications. A proof-of-concept project with Japan Tobacco Inc.‘s (JT) pharmaceutical division used quantum computing and AI in the drug discovery process. Researchers at the Jülich Supercomputing Centre developed an ML tool that predicts protein-DNA binding by integrating quantum computing with support vector machines. A collaboration with TRIUMF showed speedups using D-Wave’s quantum computers for simulating high-energy particle-calorimeter interactions.
This release is intended to help organizations accelerate the use of annealing quantum computers in a growing set of AI applications. Dr. Trevor Lanting, Chief Development Officer at D-Wave, noted that customers are interested in the collaborative potential of quantum and AI. Developers can download the toolkit, and organizations can also apply to the Leap Quantum LaunchPad™ program to explore the integration of quantum computing into AI workloads.
Read the full announcement here.
August 4, 2025
