PennyLane
  • Why PennyLane
  • Getting Started
  • Documentation
  • Ecosystem
Install
Install
Back to Devices

projectq.classical

This plugin is compatible with PennyLane versions up to and including v0.34.

  • Small-Moderate Workloads
  • CPU (simulator)
  • macOS
  • Linux
  • Windows

The projectq.classical device in the PennyLane-ProjectQ plugin is based on ProjectQ’s “classical” simulator backend, which only allows classical gates such as NOTs.

Recommended for:

  • Small-scale simulations.

Documentation

  • projectq.classical documentation

See all PennyLane-ProjectQ devices:

  • projectq.classical
  • projectq.ibm
  • projectq.simulator

Installation

The ``projectq.classical` device can be installed with:

pip install pennylane_pq

For more details on installation and dependencies, visit the PennyLane-ProjectQ installation page.


Device Initialization

Initialize the device in PennyLane with:

import pennylane as qml dev = qml.device('projectq.classical', wires=2)

For more details on device settings and keyword arguments, see the device documentation.

PennyLane

PennyLane is an open-source software framework for quantum machine learning, quantum chemistry, and quantum computing, with the ability to run on all hardware. Built with ❤️ by Xanadu.

Stay updated with our newsletter

For researchers

  • Research
  • Features
  • Demos
  • Compilation
  • Datasets
  • Performance
  • Learn
  • Videos
  • Documentation
  • Teach

For learners

  • Learn
  • Codebook
  • Teach
  • Videos
  • Challenges
  • Demos
  • Compilation
  • Glossary

For developers

  • Features
  • Documentation
  • API
  • GitHub
  • Datasets
  • Demos
  • Compilation
  • Performance
  • Devices
  • Catalyst

© Copyright 2025 | Xanadu | All rights reserved

TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Privacy Policy|Terms of Service|Cookie Policy|Code of Conduct