cuquantum 25.3.0

NVIDIA cuQuantum SDK

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 three major components:

• cuDensityMat: a high-performance library for quantum dynamics equation solvers

• 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

pip install -v --no-cache-dir cuquantum

Note

Starting cuQuantum 22.11, this package is a meta package pointing to cuquantum-cuXX, where XX is the CUDA major version (currently CUDA 11 & 12 are supported). The meta package will attempt to infer and install the correct -cuXX wheel. However, in situations where the auto-detection fails, this package currently points to cuquantum-cu11 with a warning raised (if the verbosity flag -v is set, as shown above). This behavior will change in the next release, moving from cu11 to cu12, and users are encouraged to install the new wheels that come with the -cuXX suffix.

The argument --no-cache-dir is required for pip 23.1+. It forces pip to execute the auto-detection logic.

Note

Future support for CUDA 11 will be deprecated in the next release when support for CUDA 13 is added.

To use cuQuantum’s Python APIs, please directly install cuQuantum Python.

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