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NVIDIA cuQuantum SDK is a set of high-performance libraries and tools for accelerating quantum computing simulations at both the circuit and device level by orders of magnitude. It consists of three major components:

  • cuDensityMat: a high-performance library for quantum dynamics equation solvers

  • cuStateVec: a high-performance library for state vector quantum simulators

  • cuTensorNet: a high-performance library for tensor network computations

In addition to C APIs, cuQuantum also provides Python APIs via 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:

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, this behavior will change in the next release, moving from cu11 to cu12.

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

Metadata

Release files for cuquantum-cu11 25.6.0

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Table of built distributions (wheels) for cuquantum-cu11 25.6.0
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cuquantum_cu11-25.6.0-py3-none-manylinux2014_x86_64.whl Python 3 none Linux glibc 2.17+ x86-64 Details
cuquantum_cu11-25.6.0-py3-none-manylinux2014_aarch64.whl Python 3 none Linux glibc 2.17+ ARM64 Details

Total release size: 14.5 kB

Release files / cuquantum_cu11-25.6.0-py3-none-manylinux2014_x86_64.whl

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