cutensornet-cu12


Namecutensornet-cu12 JSON
Version 2.4.0 PyPI version JSON
download
home_pagehttps://developer.nvidia.com/cuquantum-sdk
SummarycuTensorNet - a component of NVIDIA cuQuantum SDK
upload_time2024-03-22 22:51:52
maintainerNone
docs_urlNone
authorNVIDIA Corporation
requires_pythonNone
licenseNVIDIA Proprietary Software
keywords cuda nvidia tensor network high-performance computing quantum computing
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ***********************************************************************
cuTensorNet: A High-Performance Library for Tensor Network Computations
***********************************************************************

**NVIDIA cuTensorNet** is a high-performance library for tensor network computations.
cuTensorNet is a component of the `NVIDIA cuQuantum SDK`_.

In addition to C APIs, cuStateVec 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/cutensornet/index.html for the cuTensorNet documentation.

Installation
============

The cuTensorNet wheel can be installed as follows:

.. code-block:: bash

   pip install cutensornet-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
================

Pleae click this Zenodo badge to see the citation format: |DOI|

.. |DOI| image:: https://zenodo.org/badge/435003852.svg
    :target: https://zenodo.org/badge/latestdoi/435003852

            

Raw data

            {
    "_id": null,
    "home_page": "https://developer.nvidia.com/cuquantum-sdk",
    "name": "cutensornet-cu12",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "cuda, nvidia, tensor network, high-performance computing, quantum computing",
    "author": "NVIDIA Corporation",
    "author_email": "cuda_installer@nvidia.com",
    "download_url": null,
    "platform": null,
    "description": "***********************************************************************\ncuTensorNet: A High-Performance Library for Tensor Network Computations\n***********************************************************************\n\n**NVIDIA cuTensorNet** is a high-performance library for tensor network computations.\ncuTensorNet is a component of the `NVIDIA cuQuantum SDK`_.\n\nIn addition to C APIs, cuStateVec 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/cutensornet/index.html for the cuTensorNet documentation.\n\nInstallation\n============\n\nThe cuTensorNet wheel can be installed as follows:\n\n.. code-block:: bash\n\n   pip install cutensornet-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\nPleae click this Zenodo badge to see the citation format: |DOI|\n\n.. |DOI| image:: https://zenodo.org/badge/435003852.svg\n    :target: https://zenodo.org/badge/latestdoi/435003852\n",
    "bugtrack_url": null,
    "license": "NVIDIA Proprietary Software",
    "summary": "cuTensorNet - a component of NVIDIA cuQuantum SDK",
    "version": "2.4.0",
    "project_urls": {
        "Bug Tracker": "https://github.com/NVIDIA/cuQuantum/issues",
        "Documentation": "https://docs.nvidia.com/cuda/cuquantum/cutensornet/",
        "Homepage": "https://developer.nvidia.com/cuquantum-sdk",
        "User Forum": "https://github.com/NVIDIA/cuQuantum/discussions"
    },
    "split_keywords": [
        "cuda",
        " nvidia",
        " tensor network",
        " high-performance computing",
        " quantum computing"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "510d45c0a639a1e6ceba8f5cbee1d2a915ec00d897b04da1c71c43fbfb194bc3",
                "md5": "94db42a270013e67be9db05c215d16f6",
                "sha256": "1c64b4802c57a727c12129142419cbfcf4db8f2534738f1c99106f3c7a346882"
            },
            "downloads": -1,
            "filename": "cutensornet_cu12-2.4.0-py3-none-manylinux2014_aarch64.whl",
            "has_sig": false,
            "md5_digest": "94db42a270013e67be9db05c215d16f6",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 2126553,
            "upload_time": "2024-03-22T22:51:52",
            "upload_time_iso_8601": "2024-03-22T22:51:52.232720Z",
            "url": "https://files.pythonhosted.org/packages/51/0d/45c0a639a1e6ceba8f5cbee1d2a915ec00d897b04da1c71c43fbfb194bc3/cutensornet_cu12-2.4.0-py3-none-manylinux2014_aarch64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d1c69a8bb53bc9e08d46b5202d3d12eb84f26ab42fcfa4979114a22a17c1358c",
                "md5": "1d344e1f972b240b0dd3b1ed869be5cb",
                "sha256": "af08991e732b6f8672b72fef175e3be8d9609403cbc3871c172c61a3d437a4bb"
            },
            "downloads": -1,
            "filename": "cutensornet_cu12-2.4.0-py3-none-manylinux2014_x86_64.whl",
            "has_sig": false,
            "md5_digest": "1d344e1f972b240b0dd3b1ed869be5cb",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 2190621,
            "upload_time": "2024-03-22T22:51:55",
            "upload_time_iso_8601": "2024-03-22T22:51:55.028964Z",
            "url": "https://files.pythonhosted.org/packages/d1/c6/9a8bb53bc9e08d46b5202d3d12eb84f26ab42fcfa4979114a22a17c1358c/cutensornet_cu12-2.4.0-py3-none-manylinux2014_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-22 22:51:52",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "NVIDIA",
    "github_project": "cuQuantum",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "cutensornet-cu12"
}
        
Elapsed time: 0.20785s