This PennyLane plugin allows the Rigetti Forest and pyQuil simulators to be used as PennyLane devices.
pyQuil is a Python library for quantum programming using the quantum instruction language (Quil) - resulting quantum programs can be executed using the Rigetti Forest platform.
PennyLane is a machine learning library for optimization and automatic differentiation of hybrid quantum-classical computations.
- Provides four devices to be used with PennyLane:
forest.qpu. These provide access to the pyQVM Numpy wavefunction simulator, Forest wavefunction simulator, quantum virtual machine (QVM), and quantum processing unit (QPU) respectively.
- All provided devices support all core qubit PennyLane operations and observables.
- Provides custom PennyLane operations to cover additional pyQuil operations:
PSWAP, and many more. Every custom operation supports analytic differentiation.
- Leverage PennyLane’s automatic differentiation and optimization together with Rigetti’s Forest SDK and Quantum Cloud Services.