cuTensorNet - a component of NVIDIA cuQuantum SDK
Project description
NVIDIA cuTensorNet is a high-performance library for tensor network computations. cuTensorNet is a component of the NVIDIA cuQuantum SDK.
In addition to C APIs, cuTensorNet can also be accessed in Python via cuQuantum Python.
Documentation
Please refer to https://docs.nvidia.com/cuda/cuquantum/latest/cutensornet/index.html for the cuTensorNet documentation.
Installation
The cuTensorNet wheel can be installed as follows:
pip install cutensornet-cuXX
where XX is the CUDA major version (currently CUDA 11 & 12 are supported).
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 cutensornet_cu12-2.6.0-py3-none-manylinux2014_x86_64.whl
.
File metadata
- Download URL: cutensornet_cu12-2.6.0-py3-none-manylinux2014_x86_64.whl
- Upload date:
- Size: 2.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.13.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 64b582679c4e16faecd9143103272376e847e4b7ff02c97cde72f39ea6243f5e |
|
MD5 | e3d3e0f123647afd0f00d1f32bd553d9 |
|
BLAKE2b-256 | a9f7b1ef08780c979a2483b1332843c57fc0304cfce8441a4e7bac9668a1c798 |
File details
Details for the file cutensornet_cu12-2.6.0-py3-none-manylinux2014_aarch64.whl
.
File metadata
- Download URL: cutensornet_cu12-2.6.0-py3-none-manylinux2014_aarch64.whl
- Upload date:
- Size: 2.2 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.13.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 39b6f50b8bd47e5a4fcb745472c1005fc9d3889b907c92a91ea76e30a91e11cd |
|
MD5 | 2aa581309a57ffd0096ce13d1081b4ef |
|
BLAKE2b-256 | a3830e839ee5ee06e0a0d3839017586aaef7324101f7829f25280c68c124236b |