Lightning plugins

Release

0.40.0

The Lightning plugin ecosystem provides fast state-vector and tensor network simulators written in C++.

PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations. PennyLane supports Python 3.10 and above.

Features

PennyLane-Lightning high performance simulators include the following backends:

• lightning.qubit: a fast state-vector simulator written in C++ with optional OpenMP additions and parallelized gate-level SIMD kernels.

• lightning.gpu: a state-vector simulator based on the NVIDIA cuQuantum SDK. It notably implements a distributed state-vector simulator based on MPI.

• lightning.kokkos: a state-vector simulator written with Kokkos. It can exploit the inherent parallelism of modern processing units supporting the OpenMP, CUDA or HIP programming models.

• lightning.tensor: a tensor network simulator based on the NVIDIA cuQuantum SDK. The supported methods are Matrix Product State (MPS) and Exact Tensor Network (TN).

Devices

The Lightning ecosystem provides the following devices:

'lightning.qubit'

A fast state-vector qubit simulator written in C++

'lightning.gpu'

A heterogeneous backend state-vector simulator with NVIDIA cuQuantum library support.

'lightning.kokkos'

A heterogeneous backend state-vector simulator with Kokkos library support.

'lightning.tensor'

A tensor network simulator with NVIDIA cuQuantum library support.

Authors

Lightning is the work of many contributors.

If you are using Lightning for research, please cite:

@misc{
    asadi2024,
    title={{Hybrid quantum programming with PennyLane Lightning on HPC platforms}},
    author={Ali Asadi and Amintor Dusko and Chae-Yeun Park and Vincent Michaud-Rioux and Isidor Schoch and Shuli Shu and Trevor Vincent and Lee James O'Riordan},
    year={2024},
    eprint={2403.02512},
    archivePrefix={arXiv},
    primaryClass={quant-ph},
    url={https://arxiv.org/abs/2403.02512},
}

index

 

Download Python script

 

Download Notebook

 

View on GitHub