PennyLane-Cirq Plugin

Release

0.39.0

The PennyLane-Cirq plugin integrates the Cirq quantum computing framework with PennyLane’s quantum machine learning capabilities.

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

Cirq is a software library for quantum computing.

Once Pennylane-Cirq is installed, the provided Cirq devices can be accessed straight away in PennyLane, without the need to import any additional packages.

Devices

Currently, PennyLane-Cirq provides four Cirq devices for PennyLane:

'cirq.simulator'

Cirq's simulator backend.

'cirq.mixedsimulator'

Cirq's density matrix simulator backend.

'cirq.qsim' and 'cirq.qsimh'

The qsim and qsimh simulator backends.

'cirq.pasqal'

Simulator for Pasqal's neutral atom devices.

Tutorials

Check out these demos to see the PennyLane-Cirq plugin in action:

Optimizing noisy circuits with Cirq

Quantum Generative Adversarial Networks with Cirq + TensorFlow

Quantum computation with neutral atoms

Variationally optimizing measurement protocols

Beyond classical computing with qsim