This plugin provides an interface between D-Wave's quantum-classical hybrid solvers and the PyTorch framework, including a Torch neural network module for building and training Boltzmann Machines along with various sampler utility functions.
Released under the Apache License 2.0. See LICENSE file.
Ocean's contributing guide has guidelines for contributing to Ocean packages.
dwave-pytorch-plugin uses reno
to manage its release notes.
When making a contribution to dwave-pytorch-plugin that will affect
users, create a new release note file by running
reno new your-short-descriptor-hereYou can then edit the file created under releasenotes/notes/. Remove any
sections not relevant to your changes. Commit the file along with your changes.
See reno's user guide for details.