NVIDIA cuQuantum SDK
Project description
NVIDIA cuQuantum SDK is a high-performance library for quantum information science and beyond. Currently its primary target is quantum circuit simulations and it consists of two major components:
cuStateVec: a high-performance library for state vector computations
cuTensorNet: a high-performance library for tensor network computations
In addition to C APIs, cuQuantum also provides Python APIs via cuQuantum Python.
Documentation
Please refer to https://docs.nvidia.com/cuda/cuquantum/index.html for the cuQuantum documentation.
Installation
The cuQuantum wheel can be installed as follows:
pip install cuquantum-cuXX
where XX is the CUDA major version (currently CUDA 11 and 12 are supported). We encourage users to install package with the -cuXX suffix; the package cuquantum (without the -cuXX suffix) currently points to cuquantum-cu11 and is subject to change in the future.
Citing cuQuantum
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
File details
Details for the file cuquantum_cu11-24.11.0-py3-none-manylinux2014_x86_64.whl
.
File metadata
- Download URL: cuquantum_cu11-24.11.0-py3-none-manylinux2014_x86_64.whl
- Upload date:
- Size: 7.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.13.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5da4aad328de4099fb9a709bf301653e97e4adc8c568d98e28f2cc4ff8a7d0b3 |
|
MD5 | 15eeef54f9d3ab39d62fd4e948ff0bc0 |
|
BLAKE2b-256 | c149ca20cd8abcea19d3e3fd0200e88fc234f587bf83a1f99132aafe6b866c8b |
File details
Details for the file cuquantum_cu11-24.11.0-py3-none-manylinux2014_aarch64.whl
.
File metadata
- Download URL: cuquantum_cu11-24.11.0-py3-none-manylinux2014_aarch64.whl
- Upload date:
- Size: 7.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.13.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 070478575982a0c5e04a46ab4e83bd1cd686359cfd46408ffe628c1881f70a6e |
|
MD5 | 837273709c8e9f3002b2e7f2b2297976 |
|
BLAKE2b-256 | 83e17b857f5abe96f4e647796595790ddd60243f786eca8e3ed9490335c8cb4d |