Skip to main content

NVIDIA cuQuantum Python

Project description

NVIDIA cuQuantum Python provides Python bindings and high-level object-oriented models for accessing the full functionalities of NVIDIA cuQuantum SDK from Python.

Documentation

For detailed guide, please refer to cuQuantum Python documentation.

Installation

pip install -v --no-cache-dir cuquantum-python

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cuquantum_python-26.3.2.tar.gz (6.9 kB view details)

Uploaded Source

File details

Details for the file cuquantum_python-26.3.2.tar.gz.

File metadata

  • Download URL: cuquantum_python-26.3.2.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.20

File hashes

Hashes for cuquantum_python-26.3.2.tar.gz
Algorithm Hash digest
SHA256 ddc531fb452958b005a61387b23e1c6ab4d9080a2ea44837d537cf283bba3ca0
MD5 d7b8294cbe91bb60d76c03ded8da3396
BLAKE2b-256 89331122c9cca45dbaa9d156c1a584b1845c7935f7f1bb37b8d2e6edd5913aa4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page