Metadata-Version: 2.4
Name: custabilizer-cu12
Version: 0.3.0
Summary: cuStabilizer - a component of NVIDIA cuQuantum SDK
Home-page: https://developer.nvidia.com/cuquantum-sdk
Author: NVIDIA Corporation
Author-email: cuda_installer@nvidia.com
License: NVIDIA Proprietary Software
Project-URL: Bug Tracker, https://github.com/NVIDIA/cuQuantum/issues
Project-URL: User Forum, https://github.com/NVIDIA/cuQuantum/discussions
Project-URL: Documentation, https://docs.nvidia.com/cuda/cuquantum/latest/custabilizer/
Keywords: cuda,nvidia,state vector,tensor network,high-performance computing,quantum computing,quantum error correction
Classifier: Topic :: Scientific/Engineering
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Environment :: GPU :: NVIDIA CUDA :: 12
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**************************************************************************
cuStabilizer: A High-Performance Library for Stabilizer Quantum Simulators
**************************************************************************

**NVIDIA cuStabilizer** provides high-performance primitives for GPU-accelerated simulation of noisy Clifford quantum circuits. cuStabilizer is a component of the `NVIDIA cuQuantum SDK`_.

In addition to C APIs, cuStabilizer can also be accessed in Python through cython bindings provided in `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/custabilizer/index.html for the cuStabilizer documentation.

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

The cuStabilizer wheel can be installed as follows:

.. code-block:: bash

   pip install custabilizer-cuXX

where XX is the CUDA major version (currently CUDA 12 & 13 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>`
