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cuQuantum SDK: A High-Performance Library for Accelerating Quantum Computing Simulations

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 five major components:

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

  • cuPauliProp: a high-performance library for Pauli propagation quantum simulators

  • cuStabilizer: a high-performance library for stabilizer quantum simulators

  • 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 12 and 13 are supported). We encourage users to install package with the -cuXX suffix;

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-cu12 26.11.0

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cuquantum_cu12-26.11.0-py3-none-manylinux2014_aarch64.whl Python 3 none Linux glibc 2.17+ ARM64 Details for cuquantum_cu12-26.11.0-py3-none-manylinux2014_aarch64.whl

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