**************************************************************************************
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>`_.
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"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",
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