Pytket Extensions

This repository contains a collection of Python extension modules for CQC's pytket quantum SDK.

Each of these modules provides one or several backends (interfaces to devices or simulators), frontends (interfaces to other high-level quantum languages), or both.

All the extensions are written in pure Python, and depend on the pytket module.

Code for the following extensions is included here, each within its own subdirectory of the modules directory:

• pytket-aqt
• pytket-braket
• pytket-cirq
• pytket-honeywell
• pytket-ionq
• pytket-projectq
• pytket-pyquil
• pytket-pyzx
• pytket-qiskit
• pytket-qsharp
• pytket-qulacs
• pytket-stim

See the individual README files for descriptions.

Note that most backend providers require you to set up credentials in order to submit jobs over the internet. These should be obtained directly from the providers.

Installing and using an extension

Each of the extensions can be installed using pip. For example:

pip install pytket-qiskit

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

Full documentation for all these extension module is available here.

Bugs and feature requests

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

Development

To install an extension in editable mode, simply change to its subdirectory within the modules directory, and run:

pip install -e .

If you wish to write your own backend extension for pytket, we recommend looking at the example notebook here which explains how to do so.

If you would like to add it to this repo, please follow the existing code and naming convetions, and make a PR as described below with your module as a new subdirectory in modules.

Contributing

Pull requests are welcome. To make a PR, first fork the repo, make your proposed changes on the develop 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 black, with default options. This is checked on the CI. The CI is currently using version 20.8b1.

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. Because of the way extension modules embed themselves into the pytket namespace this is a little complicated, but it should be sufficient to run the script modules/mypy-check (passing as a single argument the root directory of the module to test). The script requires mypy 0.800 or above.

Linting

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

Tests

To run the tests for a module:

1. cd into that module's tests directory;
2. ensure you have installed pytest, hypothesis, and any modules listed in the test-requirements.txt file (all via pip);
3. 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.