# cuda-quantum

**Repository Path**: adlerliu_admin/cuda-quantum

## Basic Information

- **Project Name**: cuda-quantum
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-07-12
- **Last Updated**: 2025-07-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Welcome to the CUDA-Q repository

<img align="right" width="200"
src="https://developer.nvidia.com/sites/default/files/akamai/nvidia-cuquantum-icon.svg"
/>

<img align="left"
src="https://github.com/NVIDIA/cuda-quantum/actions/workflows/deployments.yml/badge.svg?event=workflow_dispatch&branch=main"
/>

<img align="left"
src="https://github.com/NVIDIA/cuda-quantum/actions/workflows/publishing.yml/badge.svg?branch=main"
/>

<img align="left"
src="https://github.com/NVIDIA/cuda-quantum/actions/workflows/documentation.yml/badge.svg?branch=main"
/> <br/>

<a href="https://zenodo.org/badge/latestdoi/614026597"><img align="left"
src="https://zenodo.org/badge/614026597.svg" alt="DOI"></a><br/>

The CUDA-Q 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-Q toolkit, including the `nvq++` compiler, the CUDA-Q
runtime, as well as a selection of integrated CPU and GPU backends for rapid
application development and testing.

## Getting Started

To learn more about how to work with CUDA-Q, please take a look at the [CUDA-Q
Documentation][cuda_quantum_docs]. The page also contains [installation
instructions][official_install] 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][github_packages] deployed on the GitHub Container Registry. For more
information about building CUDA-Q from source, see [these
instructions](./Building.md).

[cuda_quantum_docs]: https://nvidia.github.io/cuda-quantum/latest
[official_install]: https://nvidia.github.io/cuda-quantum/latest/using/quick_start.html#install-cuda-q
[github_packages]:
    https://github.com/orgs/NVIDIA/packages?repo_name=cuda-quantum

## Contributing

There are many ways in which you can get involved with CUDA-Q. If you are
interested in developing quantum applications with CUDA-Q, this repository is a
great place to get started! For more information about contributing to the
CUDA-Q platform, please take a look at [Contributing.md](./Contributing.md).

## License

The code in this repository is licensed under [Apache License 2.0](./LICENSE).

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.

## Feedback

Please let us know your feedback and ideas for the CUDA-Q platform in the
[Discussions][cuda_quantum_discussions] tab of this repository, or file an
[issue][cuda_quantum_issues]. To report security concerns or [Code of
Conduct](./Code_of_Conduct.md) violations, please reach out to
[cuda-quantum@nvidia.com](mailto:cuda-quantum@nvidia.com).

[cuda_quantum_discussions]: https://github.com/NVIDIA/cuda-quantum/discussions
[cuda_quantum_issues]: https://github.com/NVIDIA/cuda-quantum/issues