cuDensityMat: A High-Performance Library for Analog Quantum Dynamics Solvers
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-cuXXwhere XX is the CUDA major version (currently CUDA 12 & 13 are supported).
Citing cuQuantum
Release files for cudensitymat-cu12 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cudensitymat_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details for cudensitymat_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl |
| cudensitymat_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details for cudensitymat_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl |
Total release size: 113.1 MB
Release files / cudensitymat_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl
| Download URL | cudensitymat_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl |
|---|---|
| Size | 56.6 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
411a5a82c470d73950744278bd523721a9a103c9ea93623f567eab091158a15f
|
|
BLAKE2b-256 checksum How to use checksums |
02fd0dc27a840a0fd61f461b6a9a6ddc1725b6f30b6807880e43034a2fa48fb8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
|
Release files / cudensitymat_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl
| Download URL | cudensitymat_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl |
|---|---|
| Size | 56.5 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
584c6066c58549c686af0ada0bd89ab14f90a35be0975d6b1972ccca909044eb
|
|
BLAKE2b-256 checksum How to use checksums |
21a8860e4f01092df38d62f00351e22fa42a6a3b8476aeb352f264f2219cc6c7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
|
Security for cudensitymat-cu12 0.7.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
