D-Wave Quantum Inc., a leader in quantum computing systems, software and services, today announced the release of a collection of open-source tools for developers that advance quantum computing integration with machine learning technology. Available for download now, a new quantum AI toolkit will allow developers to use the company’s quantum processors to build AI applications with the popular PyTorch framework, a popular machine learning system used to develop and train deep learning models. The toolkit includes a neural network module for using a quantum computer to build and train machine learning models known as restricted Boltzmann machines. RBMs are used for generative AI tasks, including image recognition and drug discovery. Training these models with large datasets can be very costly and time-consuming for classical computers. However, offloading the process to a quantum computer can significantly reduce the required time and energy. D-Wave said that by integrating PyTorch with its annealing quantum technology, companies can greatly accelerate the speed and reduce the cost of training new 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.

Full report : D-Wave Introduces New Developer Tools to Advance Quantum AI Exploration.