Unless you are a PennyLane or plugin developer, you likely do not need to use these classes directly.
See the main plugins page for more details on available plugins.
This subpackage provides default devices for PennyLane, which do not need external plugins to be installed. The default devices provide basic built-in qubit and CV circuit simulators that can be used with PennyLane without the need for additional dependencies. They may also be used in the PennyLane test suite in order to verify and test quantum gradient computations.
The default.qubit device is PennyLane’s standard qubit-based device.
This module contains an jax implementation of the
This module contains a PyTorch implementation of the
This module contains a TensorFlow implementation of the
This module contains an autograd implementation of the
The default.mixed device is PennyLane’s standard qubit simulator for mixed-state computations.
The default.qutrit device is PennyLane’s standard qutrit-based device.
This subpackage provides integration tests for the devices with PennyLane’s core functionalities.
- What is PennyLane?
- Quantum circuits
- Gradients and training
- Quantum operators
- Inspecting circuits
- Compiling circuits
- Quantum Chemistry
- Quantum Datasets