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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.

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:

pip install custabilizer-cuXX

where XX is the CUDA major version (currently CUDA 12 & 13 are supported).

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>

Metadata

Release files for custabilizer-cu13 0.5.0

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Table of built distributions (wheels) for custabilizer-cu13 0.5.0
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custabilizer_cu13-0.5.0-py3-none-manylinux2014_x86_64.whl Python 3 none Linux glibc 2.17+ x86-64 Details
custabilizer_cu13-0.5.0-py3-none-manylinux2014_aarch64.whl Python 3 none Linux glibc 2.17+ ARM64 Details

Total release size: 14.7 MB

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