Skip to main content

Qiskit adapter for IQM's quantum architectures

Project description

CI badge Release badge Black badge

Qiskit on IQM

Qiskit adapter for IQM’s quantum computers.

What is it good for?

With Qiskit on IQM, you can for example:

  • Transpile arbitrary quantum circuits for IQM quantum architectures

  • Simulate execution with an IQM-specific noise model

  • Execute quantum circuits on an IQM quantum computer

Installation

The recommended way is to install the distribution package qiskit-iqm directly from the Python Package Index (PyPI):

$ pip install qiskit-iqm

Documentation

The documentation of the latest Qiskit on IQM release is available here.

Jump to our User guide for a quick introduction on how to use Qiskit on IQM.

You can build documentation for any older version locally by cloning the Git repository, checking out the corresponding tag, and running the docs builder. For example, to build the documentation for version 12.2:

$ git clone git@github.com:iqm-finland/qiskit-on-iqm.git
$ cd qiskit-on-iqm
$ git checkout 12.2
$ tox run -e docs

tox run -e docs will build the documentation at ./build/sphinx/html. This command requires the tox,, sphinx and sphinx-book-theme Python packages (see the docs optional dependency in pyproject.toml); you can install the necessary packages with pip install -e ".[dev,docs]"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qiskit_iqm-13.7.tar.gz (230.2 kB view hashes)

Uploaded Source

Built Distribution

qiskit_iqm-13.7-py3-none-any.whl (46.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page