NVIDIA cuQuantum SDK
Project description
NVIDIA cuQuantum SDK is a set of high-performance libraries and tools for accelerating quantum computing simulations at both the circuit and device level by orders of magnitude. It consists of five major components:
cuDensityMat: a high-performance library for quantum dynamics equation solvers
cuPauliProp: a high-performance library for Pauli propagation quantum simulators
cuStabilizer: a high-performance library for stabilizer quantum simulators
cuStateVec: a high-performance library for state vector quantum simulators
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 12 and 13 are supported). We encourage users to install package with the -cuXX suffix;
Citing cuQuantum
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cuquantum_cu12-26.1.0-py3-none-manylinux2014_x86_64.whl.
File metadata
- Download URL: cuquantum_cu12-26.1.0-py3-none-manylinux2014_x86_64.whl
- Upload date:
- Size: 7.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1543002d92d2451509eb565941253e091e5b67a494c84d9058622f32dca106ac
|
|
| MD5 |
a0da81e8af617812932b69383450ae4e
|
|
| BLAKE2b-256 |
fb7a6d9fae25984e17a6f5a5d401fcd2b0e368437b258e722968ddd262eff762
|
File details
Details for the file cuquantum_cu12-26.1.0-py3-none-manylinux2014_aarch64.whl.
File metadata
- Download URL: cuquantum_cu12-26.1.0-py3-none-manylinux2014_aarch64.whl
- Upload date:
- Size: 7.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ae1e4c533947f0abde21e8a225a53ea103f87ee628c081c8e9e17217ffc2996a
|
|
| MD5 |
575429ed94d9c307194a653d8e9db997
|
|
| BLAKE2b-256 |
fb8cde6e9b609837856faf9ae74e012073f8869fd29653f67562625113912cd1
|