lightning.tensor

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.qubit
• lightning.kokkos
• lightning.amdgpu
• lightning.gpu
• 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 qp
dev = qp.device('lightning.tensor', wires=5) 

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