**************************************************************************************
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science
**************************************************************************************
`NVIDIA cuQuantum SDK <https://developer.nvidia.com/cuquantum-sdk>`_ is a high-performance library for quantum information science and beyond.
Currently its primary target is *quantum circuit simulations* and it consists of two major components:
* cuStateVec: a high-performance library for state vector computations
* cuTensorNet: a high-performance library for tensor network computations
In addition to C APIs, cuQuantum also provides Python APIs via `cuQuantum Python`_.
.. _cuQuantum Python: https://pypi.org/project/cuquantum-python/
Documentation
=============
Please refer to https://docs.nvidia.com/cuda/cuquantum/index.html for the cuQuantum documentation.
Installation
============
The cuQuantum wheel can be installed as follows:
.. code-block:: bash
pip install cuquantum-cuXX
where XX is the CUDA major version (currently CUDA 11 and 12 are supported).
We encourage users to install package *with* the ``-cuXX`` suffix;
the package ``cuquantum`` (without the ``-cuXX`` suffix) currently points to ``cuquantum-cu11``
and is subject to change in the future.
.. note::
This package is a "meta"-package -- installing it will install both ``custatevec-cuXX`` and ``cutensornet-cuXX``
that are released in the installed cuQuantum SDK version.
.. note::
To use cuQuantum's Python APIs, please directly install `cuQuantum Python`_.
Citing cuQuantum
================
* H. Bayraktar et al., "cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science," 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 1050-1061, doi: `10.1109/QCE57702.2023.00119 <https://doi.org/10.1109/QCE57702.2023.00119>`_.
Raw data
{
"_id": null,
"home_page": "https://developer.nvidia.com/cuquantum-sdk",
"name": "cuquantum-cu11",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "cuda, nvidia, state vector, tensor network, high-performance computing, quantum computing",
"author": "NVIDIA Corporation",
"author_email": "cuda_installer@nvidia.com",
"download_url": null,
"platform": null,
"description": "**************************************************************************************\ncuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science\n**************************************************************************************\n\n`NVIDIA cuQuantum SDK <https://developer.nvidia.com/cuquantum-sdk>`_ is a high-performance library for quantum information science and beyond.\nCurrently its primary target is *quantum circuit simulations* and it consists of two major components:\n\n* cuStateVec: a high-performance library for state vector computations\n* cuTensorNet: a high-performance library for tensor network computations\n\nIn addition to C APIs, cuQuantum also provides Python APIs via `cuQuantum Python`_.\n\n.. _cuQuantum Python: https://pypi.org/project/cuquantum-python/\n\nDocumentation\n=============\n\nPlease refer to https://docs.nvidia.com/cuda/cuquantum/index.html for the cuQuantum documentation.\n\nInstallation\n============\n\nThe cuQuantum wheel can be installed as follows:\n\n.. code-block:: bash\n\n pip install cuquantum-cuXX\n\nwhere XX is the CUDA major version (currently CUDA 11 and 12 are supported).\nWe encourage users to install package *with* the ``-cuXX`` suffix;\nthe package ``cuquantum`` (without the ``-cuXX`` suffix) currently points to ``cuquantum-cu11``\nand is subject to change in the future.\n\n.. note::\n\n This package is a \"meta\"-package -- installing it will install both ``custatevec-cuXX`` and ``cutensornet-cuXX``\n that are released in the installed cuQuantum SDK version.\n\n.. note::\n\n To use cuQuantum's Python APIs, please directly install `cuQuantum Python`_.\n\nCiting cuQuantum\n================\n\n* H. Bayraktar et al., \"cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science,\" 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 1050-1061, doi: `10.1109/QCE57702.2023.00119 <https://doi.org/10.1109/QCE57702.2023.00119>`_.\n",
"bugtrack_url": null,
"license": "NVIDIA Proprietary Software",
"summary": "NVIDIA cuQuantum SDK",
"version": "24.11.0",
"project_urls": {
"Bug Tracker": "https://github.com/NVIDIA/cuQuantum/issues",
"Documentation": "https://docs.nvidia.com/cuda/cuquantum/latest",
"Homepage": "https://developer.nvidia.com/cuquantum-sdk",
"User Forum": "https://github.com/NVIDIA/cuQuantum/discussions"
},
"split_keywords": [
"cuda",
" nvidia",
" state vector",
" tensor network",
" high-performance computing",
" quantum computing"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "83e17b857f5abe96f4e647796595790ddd60243f786eca8e3ed9490335c8cb4d",
"md5": "837273709c8e9f3002b2e7f2b2297976",
"sha256": "070478575982a0c5e04a46ab4e83bd1cd686359cfd46408ffe628c1881f70a6e"
},
"downloads": -1,
"filename": "cuquantum_cu11-24.11.0-py3-none-manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "837273709c8e9f3002b2e7f2b2297976",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 7077,
"upload_time": "2024-11-18T15:00:39",
"upload_time_iso_8601": "2024-11-18T15:00:39.459996Z",
"url": "https://files.pythonhosted.org/packages/83/e1/7b857f5abe96f4e647796595790ddd60243f786eca8e3ed9490335c8cb4d/cuquantum_cu11-24.11.0-py3-none-manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c149ca20cd8abcea19d3e3fd0200e88fc234f587bf83a1f99132aafe6b866c8b",
"md5": "15eeef54f9d3ab39d62fd4e948ff0bc0",
"sha256": "5da4aad328de4099fb9a709bf301653e97e4adc8c568d98e28f2cc4ff8a7d0b3"
},
"downloads": -1,
"filename": "cuquantum_cu11-24.11.0-py3-none-manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "15eeef54f9d3ab39d62fd4e948ff0bc0",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 7078,
"upload_time": "2024-11-18T15:00:41",
"upload_time_iso_8601": "2024-11-18T15:00:41.512094Z",
"url": "https://files.pythonhosted.org/packages/c1/49/ca20cd8abcea19d3e3fd0200e88fc234f587bf83a1f99132aafe6b866c8b/cuquantum_cu11-24.11.0-py3-none-manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-18 15:00:39",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "NVIDIA",
"github_project": "cuQuantum",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "cuquantum-cu11"
}
JSON
