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cuQuantum

Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples

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Created 2021-12-04 · Updated 2026-10-08 · #17926 today
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README

Welcome to the cuQuantum repository!

This public repository contains a few sets of files related to the NVIDIA cuQuantum SDK:

  • benchmarks: NVIDIA Quantum Performance Benchmark Suite, see README for detail.
  • extra: Files to help utilize the cuQuantum SDK and the cuQuantum Appliance container.
  • python: The open-sourced cuQuantum Python project.
    • Available for download on
      • conda-forge:
        • cuquantum Conda Version
          • cudensitymat Conda Version
          • cupauliprop Conda Version
          • custabilizer Conda Version
          • custatevec Conda Version
          • cutensornet Conda Version
        • cuquantum-python Conda Version
      • PyPI:
        • cuquantum pypi
          • cuquantum-cu12 pypi
            • cudensitymat-cu12 pypi
            • cupauliprop-cu12 pypi
            • custabilizer-cu12 pypi
            • custatevec-cu12 pypi
            • cutensornet-cu12 pypi
          • cuquantum-cu13 pypi
            • cudensitymat-cu13 pypi
            • cupauliprop-cu13 pypi
            • custabilizer-cu13 pypi
            • custatevec-cu13 pypi
            • cutensornet-cu13 pypi
        • cuquantum-python pypi
          • cuquantum-python-cu12 pypi
          • cuquantum-python-cu13 pypi
        • cuquantum-python-jax pypi
  • samples: All C/C++ sample codes for the cuQuantum SDK.

Installation

The instructions for how to build and install these files are given in both the subfolders and the cuQuantum documentation.

License

This repository primarily contains software licensed under the BSD 3-Clause License. However, certain files are subject to separate proprietary licensing terms. These files are clearly marked in their file headers and/or reside in directories containing their own LICENSE file. Please review applicable file headers before redistribution.

Licensing Exceptions: cudensitymat.h and custabilizer.h are subject to NVIDIA Proprietary License.

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