pytket-qujax

Pytket is a python module for interfacing with tket, a quantum computing toolkit and optimising compiler developed by Quantinuum.

pytket-qujax is an extension to pytket that allows pytket circuits to be executed on the QuJax simulator.

Some useful links:

• API Documentation

Getting started

pytket-qujax is compatible with Python versions 3.10 to 3.13 on Linux, MacOS and Windows. To install, run:

pip install pytket-qujax

This will install pytket if it isn't already installed, and add new classes and methods into the pytket.extensions namespace.

Bugs, support and feature requests

Please file bugs and feature requests on the Github issue tracker.

Development

To install an extension in editable mode run:

pip install -e .

We have set up the repo to be used with uv. You can use also:

uv sync --python 3.12

to install the package. This will automatically pick up all requirements for the tests as well.

Contributing

Pull requests are welcome. To make a PR, first fork the repo, make your proposed changes on the main branch, and open a PR from your fork. If it passes tests and is accepted after review, it will be merged in.

Code style

Formatting

All code should be formatted using ruff, with default options. This is checked on the CI.

Type annotation

On the CI, mypy is used as a static type checker and all submissions must pass its checks. You should therefore run mypy locally on any changed files before submitting a PR. You can run them with:

uv run mypy --config-file=mypy.ini --no-incremental --explicit-package-bases pytket tests

Linting

We use ruff on the CI to check compliance with a set of style requirements (listed in ruff.toml). You should run ruff over any changed files before submitting a PR, to catch any issues.

An easy way to meet all formatting and linting requirements is to issue pre-commit run --all-files.

If you are using uv running uv run pre-commit run --all-files --show-diff-on-failure will install the package and run all the checks.

Tests

To run the tests for this module:

1. ensure you have installed pytest, hypothesis, and any modules listed in the dev-dependencies section of the pyproject.toml file; (If you are using uv this will be picked up automatically.)
2. run pytest.

When adding a new feature, please add a test for it. When fixing a bug, please add a test that demonstrates the fix.