cudensitymat-cu13

NVIDIA cuDensityMat is a high-performance library for composing analog quantum dynamics equation solvers. cuDensityMat is a component of the NVIDIA cuQuantum SDK.

In addition to C APIs, cuDensityMat can also be accessed in Python via cuQuantum Python.

Documentation

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

Installation

The cuDensityMat wheel can be installed as follows:

pip install cudensitymat-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

Release files for cudensitymat-cu13 0.7.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for cudensitymat-cu13 0.7.0
File	Interpreter	ABI	Platform	Reset
cudensitymat_cu13-0.7.0-py3-none-manylinux2014_x86_64.whl 37.6 MB Sep 11, 2026	Python 3	none	Linux glibc 2.17+ x86-64	Details
cudensitymat_cu13-0.7.0-py3-none-manylinux2014_aarch64.whl 37.5 MB Sep 11, 2026	Python 3	none	Linux glibc 2.17+ ARM64	Details

Total release size: 75.1 MB

Release files / cudensitymat_cu13-0.7.0-py3-none-manylinux2014_x86_64.whl

Download URL	cudensitymat_cu13-0.7.0-py3-none-manylinux2014_x86_64.whl
Size	37.6 MB
Tags	Linux glibc 2.17+ x86-64 Python 3
SHA-256 checksum How to use checksums	`9f96810176f35a044f0f98586b43e63de4a8434651a9969ff43f8c0f38eaa86a`
BLAKE2b-256 checksum How to use checksums	`aa750c8384dff243e45c15c78c1673d89604a5304b78062be33e78591562cc31`
Upload date	Sep 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.7`

Release files / cudensitymat_cu13-0.7.0-py3-none-manylinux2014_aarch64.whl

Download URL	cudensitymat_cu13-0.7.0-py3-none-manylinux2014_aarch64.whl
Size	37.5 MB
Tags	Linux glibc 2.17+ ARM64 Python 3
SHA-256 checksum How to use checksums	`5c8b7e61ce6d53e362da11e5ae7bd1f89bd76828d728a8ae546042fdd461e31a`
BLAKE2b-256 checksum How to use checksums	`9ea1237b523855da998b91d25d10f1d800f9efaf30a802b87b1e67d339d9ddf1`
Upload date	Sep 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.7`