PennyLane
Install
Install
Back to Devices

rigetti.qpu

This plugin is compatible with PennyLane versions up to and including v0.40.

  • Noise
  • Small-Moderate Workloads
  • Quantum Hardware
  • Linux
  • macOS
  • Windows

The rigetti.qpu device in the PennyLane-Rigetti plugin integrates PennyLane with Rigetti QPUs.

Recommended for:

  • Small-scale workflows that run on real hardware.
  • Noisy simulations.

Documentation

To learn more, please visit the device documentation:

  • rigetti.qpu documentation

See all PennyLane-Rigetti devices:

  • rigetti.numpy_wavefunction
  • rigetti.qpu
  • rigetti.qvm
  • rigetti.wavefunction

Installation

The rigetti.qpu device can be installed with:

pip install pennylane-rigetti

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

Device Initialization

Initialize the device in PennyLane with:

import pennylane as qml
dev_qpu = qml.device('rigetti.qpu', device='Aspen-M-2', shots=1000) 

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

PennyLane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research. Created with ❤️ by Xanadu.

Research

  • Research
  • Performance
  • Hardware & Simulators
  • Demos
  • Quantum Compilation
  • Quantum Datasets

Education

  • Teach
  • Learn
  • Codebook
  • Coding Challenges
  • Videos
  • Glossary

Software

  • Install PennyLane
  • Features
  • Documentation
  • Catalyst Compilation Docs
  • Development Guide
  • API
  • GitHub
Stay updated with our newsletter

© 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