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-cuXXwhere 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>
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