Skip to main content

cuPauliProp - a component of NVIDIA cuQuantum SDK

Project description

NVIDIA cuPauliProp is a high-performance library providing primitives for algorithms based on Pauli propagation. cuPauliprop is a component of the NVIDIA cuQuantum SDK.

In addition to C APIs, cuPauliProp can also be accessed in Python through cython bindings provided in cuQuantum Python.

Documentation

Please refer to https://docs.nvidia.com/cuda/cuquantum/latest/cupauliprop/index.html for the cuPauliProp documentation.

Installation

The cuPauliProp wheel can be installed as follows:

pip install cupauliprop-cuXX

where 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

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file cupauliprop_cu13-0.3.1-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for cupauliprop_cu13-0.3.1-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8163289ecefd0aac2f56201f0ca3fc0a5828f45c1c114e969de9fe563e05d04e
MD5 83659831aacaf92bed6a25753c9666e4
BLAKE2b-256 a364b63a114c30ab01f304675ac6d377bace289241481062b1ee091d8940e200

See more details on using hashes here.

File details

Details for the file cupauliprop_cu13-0.3.1-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for cupauliprop_cu13-0.3.1-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 31ec5ebdc5ac8a6b8f391305f9dea2f9ab837c928e587835d1f1582d04d16aae
MD5 fb58d38e834258b92aceecd70e5c3436
BLAKE2b-256 d51b8739da5124bc9e192d3498339f7f2849289eaa773600ce176f8f764237c6

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