PennyLane: Automatic differentiation of hybrid quantum-classical computations

Understand

PennyLane is a Python 3 software framework for differentiable programming of quantum computers.

• The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and continuous-variable paradigms.
• PennyLane's core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation.
• PennyLane thus extends the automatic differentiation algorithms common in optimization and machine learning to include quantum and hybrid computations.