NVIDIA/cudaqx

NVIDIA/cudaqx

Description: Accelerated libraries for quantum-classical computing built on CUDA-Q.

Language: C++

License: NOASSERTION

Stars: 103

Forks: 68

Open issues: 65

Created: 2024-10-29T15:14:46Z

Pushed: 2026-06-10T22:48:30Z

Default branch: main

Fork: no

Archived: no

README:

Welcome to the CUDA-QX repository

This repository contains a set of libraries that build on NVIDIA CUDA-Q. These libraries enable the rapid development of hybrid quantum-classical application code leveraging state-of-the-art CPUs, GPUs, and QPUs.

Getting Started

To learn more about how to work with the CUDA-QX libraries, please take a look at the [CUDA-QX Documentation][cudaqx_docs]. The page contains detailed [installation instructions][official_install] for officially released packages.

[cudaqx_docs]: https://nvidia.github.io/cudaqx [official_install]: https://nvidia.github.io/cudaqx/quickstart/installation.html

Contributing

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

License

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

When distributed via PyPI, GHCR, or NGC, the binaries generated from this source code are also distributed under the Apache License 2.0; however, the libcudaq-qec-nv-qldpc-decoder.so library is closed source and is subject to the [NVIDIA Software License Agreement][github_qec_license]

[github_qec_license]: https://github.com/NVIDIA/cudaqx/blob/main/libs/qec/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.