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lightning.tensor

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

lightning.tensor is PennyLane’s performance-driven and GPU-enabled extension of the default.tensor device.

Recommended for:

  • State vector simulations with wide circuits.
  • Compatibility with NVIDIA GPUs.
  • Matrix product state backend support.
  • Differentiable workflows via the parameter-shift rule.

Documentation

To learn more, please visit the device documentation:

  • lightning.tensor documentation

See all Lightning devices:

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

Installation

The lightning.tensor device can be installed with:

pip install pennylane-lightning-tensor

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


Device Initialization

Initialize the device in PennyLane with:

import pennylane as qml dev = qml.device('lightning.tensor', wires=5)

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

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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