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qiskit.aer

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

qiskit.aer is part of the PennyLane-Qiskit plugin, which lets you use PennyLane as the frontend and Qiskit as the backend.

Recommended for:

  • Small-scale simulations.
  • Workflows requiring a real quantum hardware backend.
  • Compatibility with machine learning models.
  • Compatibility with noise models.

Documentation

To learn more, please visit the device documentation:

  • qiskit.aer documentation

See all PennyLane-Qiskit devices:

  • qiskit.aer
  • qiskit.basicsim
  • qiskit.remote

Installation

The qiskit.aer device can be installed with:

pip install pennylane-qiskit

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


Device Initialization

Initialize the device in PennyLane with:

import pennylane as qml dev = qml.device('qiskit.aer', wires=2)

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


Related Content

Demo

Ensemble classification with Rigetti and Qiskit devices

Blog

How to simulate noise with PennyLane

Demo

How to import noise models from Qiskit

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.

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