The CUDA Quantum Platform for hybrid quantum-classical computers enables
integration and programming of quantum processing units (QPUs), GPUs, and CPUs
in one system. This repository contains the source code for all C++ and Python
tools provided by the CUDA Quantum toolkit, including the nvq++ compiler, the
CUDA Quantum runtime, as well as a selection of integrated CPU and GPU backends
for rapid application development and testing.
To learn more about how to work with CUDA Quantum, please take a look at the CUDA Quantum Documentation. The page also contains installation instructions for officially released packages.
If you would like to install the latest iteration under development in this repository and/or add your own modifications, take a look at the latest packages deployed on the GitHub Container Registry. For more information about building CUDA Quantum from source, see these instructions.
There are many ways in which you can get involved with CUDA Quantum. If you are interested in developing quantum applications with CUDA Quantum, this repository is a great place to get started! For more information about contributing to the CUDA Quantum platform, please take a look at Contributing.md.
The code in this repository is licensed under Apache License 2.0.
Contributing a pull request to this repository requires accepting the Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. A CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately. Simply follow the instructions provided by the bot. You will only need to do this once.
Please let us know your feedback and ideas for the CUDA Quantum platform in the Discussions tab of this repository, or file an issue. To report security concerns or Code of Conduct violations, please reach out to [email protected].