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cudaq-qec

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

https://github.com/nvidia/cudaqx

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (8.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

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

Basic Info
Statistics
  • Stars: 58
  • Watchers: 8
  • Forks: 28
  • Open Issues: 28
  • Releases: 5
Created over 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Contributing License Citation

README.md

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. The page contains detailed installation instructions for officially released packages.

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.

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.

Owner

  • Name: NVIDIA Corporation
  • Login: NVIDIA
  • Kind: organization
  • Location: 2788 San Tomas Expressway, Santa Clara, CA, 95051

Citation (CITATION.cff) 

cff-version: 1.2.0
title: CUDA-QX
message: >-
  If you use CUDA-QX in your work, please cite it as well as
  [CUDA-Q](https://github.com/NVIDIA/cuda-quantum). Thanks!
type: software
authors:
  - name: NVIDIA Corporation, CUDA-QX Development Team
    address: 2788 San Tomas Expy
    city: Santa Clara
    region: California
    post-code: '95051'
    tel: '+1 408-486-2000'
repository-code: 'https://github.com/NVIDIA/cudaqx'
url: 'https://nvidia.github.io/cudaqx/'
license: Apache-2.0
license-url: 'https://github.com/NVIDIA/cudaqx/blob/main/LICENSE'

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 37
  • Total pull requests: 376
  • Average time to close issues: 18 days
  • Average time to close pull requests: 3 days
  • Total issue authors: 12
  • Total pull request authors: 15
  • Average comments per issue: 0.16
  • Average comments per pull request: 1.15
  • Merged pull requests: 219
  • Bot issues: 0
  • Bot pull requests: 141
Past Year
  • Issues: 37
  • Pull requests: 376
  • Average time to close issues: 18 days
  • Average time to close pull requests: 3 days
  • Issue authors: 12
  • Pull request authors: 15
  • Average comments per issue: 0.16
  • Average comments per pull request: 1.15
  • Merged pull requests: 219
  • Bot issues: 0
  • Bot pull requests: 141
View more stats
Top Authors
Issue Authors
  • melody-ren (12)
  • bmhowe23 (8)
  • amccaskey (6)
  • kvmto (3)
  • leo07010 (1)
  • justinlietz (1)
  • Amogh1506 (1)
  • Squirtle007 (1)
  • wsttiger (1)
  • Kenny-Heitritter (1)
  • davidsbyfield (1)
  • marwafar (1)
Pull Request Authors
  • github-actions[bot] (141)
  • bmhowe23 (135)
  • melody-ren (48)
  • boschmitt (15)
  • kvmto (6)
  • justinlietz (6)
  • caldwellshane (5)
  • caiyunh (4)
  • amccaskey (4)
  • npancotti (3)
  • annagrin (2)
  • wsttiger (2)
  • mitchdz (2)
  • 1tnguyen (2)
  • bettinaheim (1)
Top Labels
Issue Labels
bug (2) enhancement (2) documentation (1)
Pull Request Labels
no release notes (5) enhancement (2) breaking change (1) documentation (1)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 1,433 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 11
  • Total maintainers: 1
pypi.org: cudaq-qec

Accelerated libraries for Quantum Error Correction built on CUDA-Q

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 892 Last month
Rankings
Dependent packages count: 10.0%
Average: 33.2%
Dependent repos count: 56.4%
Maintainers (1)
cuda_quantum
Last synced: 10 months ago
pypi.org: cudaq-solvers

Accelerated libraries for quantum-classical solvers built on CUDA-Q

  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 541 Last month
Rankings
Dependent packages count: 10.0%
Average: 33.2%
Dependent repos count: 56.4%
Maintainers (1)
cuda_quantum
Last synced: 10 months ago

Dependencies

.github/actions/build-lib/action.yaml actions
  • actions/cache/restore v4 composite
  • actions/cache/save v4 composite
.github/actions/get-cudaq-build/action.yaml actions
  • actions/cache/restore v4 composite
  • actions/cache/save v4 composite
  • actions/checkout v4 composite
.github/actions/get-cudaq-version/action.yaml actions
.github/workflows/all_libs.yaml actions
  • ./.github/actions/build-lib * composite
  • ./.github/actions/get-cudaq-build * composite
  • ./.github/actions/get-cudaq-version * composite
  • actions/checkout v4 composite
  • nv-gha-runners/get-pr-info main composite
.github/workflows/build_wheels.yaml actions
  • actions/checkout v4 composite
.github/workflows/cudaq_cache.yaml actions
  • ./.github/actions/get-cudaq-build * composite
  • ./.github/actions/get-cudaq-version * composite
  • actions/checkout v4 composite
.github/workflows/docs.yaml actions
  • ./.github/actions/get-cudaq-build * composite
  • ./.github/actions/get-cudaq-version * composite
  • actions/checkout v4 composite
  • actions/deploy-pages v4 composite
  • actions/upload-pages-artifact v3 composite
.github/workflows/lib_qec.yaml actions
  • ./.github/actions/build-lib * composite
  • ./.github/actions/get-cudaq-build * composite
  • ./.github/actions/get-cudaq-version * composite
  • actions/checkout v4 composite
  • nv-gha-runners/get-pr-info main composite
.github/workflows/lib_solvers.yaml actions
  • ./.github/actions/build-lib * composite
  • ./.github/actions/get-cudaq-build * composite
  • ./.github/actions/get-cudaq-version * composite
  • actions/checkout v4 composite
  • nv-gha-runners/get-pr-info main composite
.github/workflows/pr_cache_cleanup.yaml actions
.github/workflows/pr_workflow.yaml actions
  • ./.github/actions/get-cudaq-build * composite
  • ./.github/actions/get-cudaq-version * composite
  • actions/checkout v4 composite
  • dorny/paths-filter v3 composite
  • nv-gha-runners/get-pr-info main composite
docker/build_env/Dockerfile docker
  • ghcr.io/nvidia/cuda-quantum-devdeps ext-cu11.8-gcc11-main build
docker/release/Dockerfile docker
  • ghcr.io/nvidia/private/cuda-quantum cu12-0.9.0 build
libs/qec/pyproject.toml pypi
  • cuda-quantum-cu12 ~= 0.9.0
libs/solvers/pyproject.toml pypi
  • cuda-quantum-cu12 ~= 0.9.0
  • fastapi *
  • networkx *
  • pyscf *
  • scipy *
  • uvicorn *
.github/workflows/pr_sanity_checks.yaml actions
  • actions/checkout v4 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v4 composite
  • dorny/paths-filter v3 composite
.github/workflows/sync.yml actions
  • actions/checkout v4 composite