PennyLane Cirq Plugin

Release

0.2.0-dev

Date

2019-11-19

This PennyLane plugin allows the Cirq simulators/hardware to be used as PennyLane devices.

Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators.

PennyLane is a machine learning library for optimization and automatic differentiation of hybrid quantum-classical computations.

Features

  • Access to Cirq’s simulator backend via the cirq.simulator device

  • Support for all PennyLane core functionality

To get started with the PennyLane Cirq plugin, follow the installation steps, then see the usage page.

Authors

Johannes Jakob Meyer

If you are doing research using PennyLane, please cite our papers:

Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, and Nathan Killoran. PennyLane: Automatic differentiation of hybrid quantum-classical computations. 2018. arXiv:1811.04968

Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran. Evaluating analytic gradients on quantum hardware. 2018. Phys. Rev. A 99, 032331