Metadata-Version: 2.1
Name: pytket-quantinuum
Version: 0.18.0
Summary: Extension for pytket, providing access to Quantinuum backends
Author: TKET development team
Author-email: tket-support@quantinuum.com
License: Apache 2
Project-URL: Documentation, https://cqcl.github.io/pytket-quantinuum/api/index.html
Project-URL: Source, https://github.com/CQCL/pytket-quantinuum
Project-URL: Tracker, https://github.com/CQCL/pytket-quantinuum/issues
Classifier: Environment :: Console
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pytket (~=1.17)
Requires-Dist: requests (>=2.2)
Requires-Dist: types-requests
Requires-Dist: websockets (>=7.0)
Requires-Dist: nest-asyncio (>=1.2)
Requires-Dist: pyjwt (~=2.4)
Requires-Dist: msal (~=1.18)

# Pytket Extensions

This repository contains the pytket-quantinuum extension, using Quantinuum's
[pytket](https://cqcl.github.io/tket/pytket/api/index.html) quantum SDK.

# pytket-quantinuum

[Pytket](https://cqcl.github.io/tket/pytket/api/index.html) is a python module for interfacing
with tket, a quantum computing toolkit and optimisation compiler developed by Quantinuum.

`pytket-quantinuum` is an extension to `pytket` that allows `pytket` circuits to
be executed on Quantinuum's quantum devices.

## Getting started

`pytket-quantinuum` is available for Python 3.9, 3.10 and 3.11, on Linux, MacOS
and Windows. To install, run:

```pip install pytket-quantinuum```

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

The [example notebooks](https://github.com/CQCL/pytket-quantinuum/tree/develop/examples) also demonstrate some of the key features of pytket-quantinuum.

## Bugs, support and feature requests

Please file bugs and feature requests on the Github
[issue tracker](https://github.com/CQCL/pytket-quantinuum/issues).

There is also a Slack channel for discussion and support. Click [here](https://tketusers.slack.com/join/shared_invite/zt-18qmsamj9-UqQFVdkRzxnXCcKtcarLRA#/shared-invite/email) to join.

## Development

To install this extension in editable mode, simply change to this directory, and run:

```shell
pip install -e .
```

## 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](https://black.readthedocs.io/en/stable/), with default options. This is
checked on the CI. The CI is currently using version 20.8b1.

#### Type annotation

On the CI, [mypy](https://mypy.readthedocs.io/en/stable/) 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](https://pypi.org/project/pylint/) on the CI to check compliance
with a set of style requirements (listed in `.pylintrc`). You should run
`pylint` over any changed files before submitting a PR, to catch any issues.

### Tests

To run the tests:

1. `cd` into the `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.
