https://github.com/NVIDIA/cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
https://github.com/NVIDIA/cuda-quantum

Last synced: about 1 month ago
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C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

• Host: GitHub
• URL: https://github.com/NVIDIA/cuda-quantum
• Owner: NVIDIA
• License: other
• Created: 2023-03-14T18:36:14.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-04-30T20:00:12.000Z (5 months ago)
• Last Synced: 2024-04-30T20:03:06.519Z (5 months ago)
• Language: C++
• Homepage: https://nvidia.github.io/cuda-quantum/
• Size: 172 MB
• Stars: 365
• Watchers: 22
• Forks: 110
• Open Issues: 245
• Metadata Files:
  • Readme: README.md
  • Contributing: Contributing.md
  • License: LICENSE
  • Code of conduct: Code_of_Conduct.md
  • Citation: CITATION.cff
  • Codeowners: .github/CODEOWNERS
  • Security: SECURITY.md

Awesome Lists containing this project

• awesome-quantum-software - CUDA-Q - Platform for accelerated quantum-classical applications on GPUs, CPUs and QPUs. (Quantum full-stack libraries)

README

        
# Welcome to the CUDA-Q repository







 





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

[[email protected]](mailto:[email protected]).

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

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