PennyLane
Install
Install
Back to Devices

rigetti.qvm

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

  • Noise
  • CPU (simulator)
  • Linux
  • macOS
  • Windows

The rigetti.qvm device in the PennyLane-Rigetti plugin integrates PennyLane with the Forest SDK quantum virtual machine.

Recommended for:

  • Small-scale qubit state vector simulations.
  • Noisy simulations.
  • Topology specificity.

Documentation

To learn more, please visit the device documentation:

  • rigetti.qvm documentation

See all PennyLane-Rigetti devices:

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

Installation

The rigetti.qvm 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 = qml.device('rigetti.qvm', device='Aspen-8')

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


Related Content

Demo

PyTorch and noisy devices

Demo

Ensemble classification with Rigetti and Qiskit devices

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