****************************************************************************
cuDensityMat: A High-Performance Library for Analog Quantum Dynamics Solvers
****************************************************************************
**NVIDIA cuDensityMat** is a high-performance library for composing analog quantum dynamics equation solvers. cuDensityMat is a component of the `NVIDIA cuQuantum SDK`_.
In addition to C APIs, cuDensityMat can also be accessed in Python via `cuQuantum Python`_.
.. _NVIDIA cuQuantum SDK: https://developer.nvidia.com/cuquantum-sdk
.. _cuQuantum Python: https://pypi.org/project/cuquantum-python/
Documentation
=============
Please refer to https://docs.nvidia.com/cuda/cuquantum/latest/cudensitymat/index.html for the cuDensityMat documentation.
Installation
============
The cuDensityMat wheel can be installed as follows:
.. code-block:: bash
pip install cudensitymat-cuXX
where XX is the CUDA major version (currently CUDA 11 & 12 are supported).
.. 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": "cudensitymat-cu11",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "cuda, nvidia, density matrix, quantum dynamics, high-performance computing, quantum computing",
"author": "NVIDIA Corporation",
"author_email": "cuda_installer@nvidia.com",
"download_url": null,
"platform": null,
"description": "****************************************************************************\ncuDensityMat: A High-Performance Library for Analog Quantum Dynamics Solvers\n****************************************************************************\n\n**NVIDIA cuDensityMat** is a high-performance library for composing analog quantum dynamics equation solvers. cuDensityMat is a component of the `NVIDIA cuQuantum SDK`_.\n\nIn addition to C APIs, cuDensityMat can also be accessed in Python via `cuQuantum Python`_.\n\n.. _NVIDIA cuQuantum SDK: https://developer.nvidia.com/cuquantum-sdk\n.. _cuQuantum Python: https://pypi.org/project/cuquantum-python/\n\nDocumentation\n=============\n\nPlease refer to https://docs.nvidia.com/cuda/cuquantum/latest/cudensitymat/index.html for the cuDensityMat documentation.\n\nInstallation\n============\n\nThe cuDensityMat wheel can be installed as follows:\n\n.. code-block:: bash\n\n pip install cudensitymat-cuXX\n\nwhere XX is the CUDA major version (currently CUDA 11 & 12 are supported).\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": "cuDensityMat - a component of NVIDIA cuQuantum SDK",
"version": "0.0.5",
"project_urls": {
"Bug Tracker": "https://github.com/NVIDIA/cuQuantum/issues",
"Documentation": "https://docs.nvidia.com/cuda/cuquantum/latest/cudensitymat/",
"Homepage": "https://developer.nvidia.com/cuquantum-sdk",
"User Forum": "https://github.com/NVIDIA/cuQuantum/discussions"
},
"split_keywords": [
"cuda",
" nvidia",
" density matrix",
" quantum dynamics",
" high-performance computing",
" quantum computing"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "71f53122dec2c06e0a3c5e6864a6775493b4af8919cbcb6aefc69b70faf9f4ec",
"md5": "cd7dd38cd66bcd995e7f1853233157f6",
"sha256": "c05c98e1363af1c33f94e8da461aef74487f75639f8407002b6b0c3261032082"
},
"downloads": -1,
"filename": "cudensitymat_cu11-0.0.5-py3-none-manylinux2014_aarch64.whl",
"has_sig": false,
"md5_digest": "cd7dd38cd66bcd995e7f1853233157f6",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 1746372,
"upload_time": "2024-11-18T15:00:25",
"upload_time_iso_8601": "2024-11-18T15:00:25.511905Z",
"url": "https://files.pythonhosted.org/packages/71/f5/3122dec2c06e0a3c5e6864a6775493b4af8919cbcb6aefc69b70faf9f4ec/cudensitymat_cu11-0.0.5-py3-none-manylinux2014_aarch64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "dec6db2e2f0776112e964747d96333a6e3102d164006a9ec582b1b94cac036a6",
"md5": "afb0cf95fbb4be69c3cb1542fbe6ed73",
"sha256": "f49229cdf44db546b04b5aaeb8b67f02864b35c51855c9045ef491ce0f7be221"
},
"downloads": -1,
"filename": "cudensitymat_cu11-0.0.5-py3-none-manylinux2014_x86_64.whl",
"has_sig": false,
"md5_digest": "afb0cf95fbb4be69c3cb1542fbe6ed73",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 1751575,
"upload_time": "2024-11-18T15:00:28",
"upload_time_iso_8601": "2024-11-18T15:00:28.356437Z",
"url": "https://files.pythonhosted.org/packages/de/c6/db2e2f0776112e964747d96333a6e3102d164006a9ec582b1b94cac036a6/cudensitymat_cu11-0.0.5-py3-none-manylinux2014_x86_64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-18 15:00:25",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "NVIDIA",
"github_project": "cuQuantum",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "cudensitymat-cu11"
}