**************************************************************************************
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
============
.. code-block:: bash
pip install -v --no-cache-dir cuquantum
.. note::
Starting cuQuantum 22.11, this package is a meta package pointing to ``cuquantum-cuXX``,
where XX is the CUDA major version (currently CUDA 11 & 12 are supported).
The meta package will attempt to infer and install the correct ``-cuXX`` wheel. However,
in situations where the auto-detection fails, this package currently points to ``cuquantum-cu11``
with a warning raised (if the verbosity flag ``-v`` is set, as shown above). This behavior
is subject to change in the future, and users are encouraged to install the new wheels that
come *with* the ``-cuXX`` suffix.
The argument ``--no-cache-dir`` is required for pip 23.1+. It forces pip to execute the
auto-detection logic.
.. 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
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