cuda-quantum
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Science Score: 46.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
2 of 59 committers (3.4%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.6%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Basic Info
- Host: GitHub
- Owner: NVIDIA
- License: other
- Language: C++
- Default Branch: main
- Homepage: https://nvidia.github.io/cuda-quantum/
- Size: 945 MB
Statistics
- Stars: 787
- Watchers: 23
- Forks: 280
- Open Issues: 467
- Releases: 0
Topics
Metadata Files
README.md
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.
Owner
- Name: NVIDIA Corporation
- Login: NVIDIA
- Kind: organization
- Location: 2788 San Tomas Expressway, Santa Clara, CA, 95051
- Website: https://nvidia.com
- Repositories: 342
- Profile: https://github.com/NVIDIA
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Eric Schweitz | e****z@n****m | 374 |
| Bettina Heim | h****b@o****m | 235 |
| Ben Howe | 1****3 | 212 |
| Thien Nguyen | 5****n | 158 |
| Alex McCaskey | a****y@n****m | 122 |
| Pradnya Khalate | 1****a | 101 |
| Bruno Schmitt | b****t@n****m | 68 |
| Sachin Pisal | s****l@n****m | 50 |
| Anna Gringauze | a****e@n****m | 43 |
| A.M. Santana | 3****a | 30 |
| Monica VanDieren | 1****n | 20 |
| Omar Bacarreza | 1****A | 8 |
| Marwa Farag | 4****r | 8 |
| Zohim Chandani | 6****i | 8 |
| Mitchell | m****k@n****m | 7 |
| Vladimir Kukushkin | v****n@m****m | 6 |
| Ikko Hamamura | i****m | 5 |
| owen-oqc | 1****c | 4 |
| Adam T. Geller | a****r@n****m | 4 |
| Ryan Shaffer | 3****r | 3 |
| mawolf2023 | 1****3 | 3 |
| Freifrau von Bleifrei | f****i | 2 |
| Gaurang Belekar | 6****r | 2 |
| Fabian Mora | f****v@g****m | 2 |
| Spencer Churchill | c****l@i****o | 2 |
| Jordan Jacobelli | j****i@n****m | 2 |
| Lambdauv | 2****v | 2 |
| Markus Pfundstein | M****n | 2 |
| Simone Rizzo | 3****a | 2 |
| Aleksander Wennersteen | a****n@g****m | 2 |
| and 29 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 631
- Total pull requests: 2,733
- Average time to close issues: 3 months
- Average time to close pull requests: 9 days
- Total issue authors: 113
- Total pull request authors: 81
- Average comments per issue: 0.87
- Average comments per pull request: 3.68
- Merged pull requests: 1,997
- Bot issues: 1
- Bot pull requests: 0
Past Year
- Issues: 287
- Pull requests: 1,330
- Average time to close issues: 19 days
- Average time to close pull requests: 6 days
- Issue authors: 87
- Pull request authors: 60
- Average comments per issue: 0.66
- Average comments per pull request: 3.18
- Merged pull requests: 967
- Bot issues: 1
- Bot pull requests: 0
Top Authors
Issue Authors
- annagrin (66)
- schweitzpgi (52)
- 1tnguyen (44)
- zohimchandani (43)
- bmhowe23 (39)
- khalatepradnya (34)
- boschmitt (29)
- amccaskey (28)
- bettinaheim (24)
- ikkoham (22)
- mmvandieren (20)
- anthony-santana (20)
- poojarao8 (14)
- justinlietz (11)
- bebora (10)
Pull Request Authors
- schweitzpgi (580)
- 1tnguyen (354)
- khalatepradnya (351)
- bmhowe23 (348)
- annagrin (179)
- bettinaheim (155)
- amccaskey (135)
- sacpis (105)
- boschmitt (78)
- mitchdz (63)
- mmvandieren (50)
- anthony-santana (40)
- marwafar (33)
- atgeller (26)
- zohimchandani (20)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 4
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Total downloads:
- pypi 11,420 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 28
- Total maintainers: 1
pypi.org: cuda-quantum
Python bindings for the CUDA-Q toolkit for heterogeneous quantum-classical workflows.
- Homepage: https://developer.nvidia.com/cuda-q
- Documentation: https://nvidia.github.io/cuda-quantum
- License: Apache License Version 2.0 Copyright (c) 2023 - 2025 NVIDIA Corporation & Affiliates All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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Latest release: 0.10.0
published 11 months ago
Rankings
Maintainers (1)
pypi.org: cudaq
Python bindings for the CUDA-Q toolkit for heterogeneous quantum-classical workflows.
- Homepage: https://developer.nvidia.com/cuda-q
- Documentation: https://nvidia.github.io/cuda-quantum
- License: Apache License Version 2.0 Copyright (c) 2023 - 2025 NVIDIA Corporation & Affiliates All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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Latest release: 0.12.0
published 7 months ago
Rankings
Maintainers (1)
pypi.org: cuda-quantum-cu12
Python bindings for the CUDA-Q toolkit for heterogeneous quantum-classical workflows.
- Homepage: https://developer.nvidia.com/cuda-q
- Documentation: https://nvidia.github.io/cuda-quantum
- License: Apache License Version 2.0 Copyright (c) 2023 - 2025 NVIDIA Corporation & Affiliates All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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Latest release: 0.12.0
published 7 months ago
Rankings
Maintainers (1)
pypi.org: cuda-quantum-cu11
Python bindings for the CUDA-Q toolkit for heterogeneous quantum-classical workflows.
- Homepage: https://developer.nvidia.com/cuda-q
- Documentation: https://nvidia.github.io/cuda-quantum
- License: Apache License Version 2.0 Copyright (c) 2023 - 2025 NVIDIA Corporation & Affiliates All rights reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
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Latest release: 0.12.0
published 7 months ago
Rankings
Maintainers (1)
Dependencies
- cuquantum-cu11 ~= 23.6