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lightning.kokkos

  • Built by PennyLane
  • QJIT
  • Large Workloads
  • Distributed Simulation
  • Performance
  • GPU (simulator)
  • CPU (simulator)
  • Linux

The lightning.kokkos device gives you portability; run on parallelized CPUs, NVIDIA GPUs, or AMD GPUs—whatever you have available!

Recommended for:

  • Workflows on HPC-targeted hardware platforms.
  • Fast gradients using the adjoint differentiation method.
  • Distributed state vector support when on CPU using OpenMP.
  • Linux operating systems.

Documentation

To learn more, please visit the device documentation:

  • lightning.kokkos documentation

See all Lightning devices:

  • lightning.gpu
  • lightning.kokkos
  • lightning.qubit
  • lightning.tensor

Installation

For details on installation and dependencies, visit the lightning.kokkos installation page.


Device Initialization

Initialize the device in PennyLane with:

import pennylane as qml dev = qml.device("lightning.kokkos", wires=2)

For more details on device settings and keyword arguments, see the device documentation.


Related Content

Blog

PennyLane goes Kokkos: A novel hardware-agnostic parallel backend for quantum simulations

Blog

HPC4U&ME: Accelerate your quantum research with PennyLane Lightning

PennyLane

PennyLane is an open-source software framework for quantum machine learning, quantum chemistry, and quantum computing, with the ability to run on all hardware. Built with ❤️ by Xanadu.

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