Compilers and languages

cuda-quantum

Maintained by NVIDIA

CUDA Quantum stands out as a modern attempt to connect quantum workflows to a broader high-performance and accelerated computing context.

C++Apache-2.0Flagship

View on GitHub Open project siteCompare

Resource snapshot

What you can build or learn

Compare modern platform packaging against older standalone quantum SDKs.
Understand how accelerated computing narratives intersect with quantum tooling.
Evaluate whether the platform feels research-first, performance-first, or product-first.

Plays well with

OpenFermion qiskit

Citation

BibTeX

@software{cudaq,
  title = {CUDA-Q},
  author = {Unknown},
  year = {n.d.},
}

License

Apache-2.0

SPDX identifier detected from the repository metadata or license files.

Repository README

Preview from the project README.

Rendered as Markdown inside a scrollable preview. Long READMEs stay contained; expand or open on GitHub for the full document.

~340 words · about 2 min readOpen on GitHub

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. 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-Q from source, see these instructions.

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.

License

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.

Feedback

Please let us know your feedback and ideas for the CUDA-Q 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 cuda-quantum@nvidia.com.

Read on GitHub

Activity

Latest release

—

Watchers

Python support

—

External links