cuquantum

cuQuantum SDK: A High-Performance Library for Accelerating Quantum Computing Simulations

NVIDIA cuQuantum SDK <https://developer.nvidia.com/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_.

.. _cuQuantum Python: https://pypi.org/project/cuquantum-python/

Documentation

Please refer to https://docs.nvidia.com/cuda/cuquantum/index.html for the cuQuantum documentation.

Installation

.. code-block:: bash

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 12 & 13 are supported). The meta package will attempt to infer and install the correct -cuXX wheel. The auto-detection mechanism is not guaranteed to work in certain environments, 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::

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 <https://doi.org/10.1109/QCE57702.2023.00119>_