guppylang 0.1.0

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Guppy

Guppy is a quantum programming language that is fully embedded into Python. It allows you to write high-level hybrid quantum programs with classical control flow and mid-circuit measurements using Pythonic syntax:

from guppylang import guppy, Qubit, quantum

guppy.load(quantum)

# Teleports the state in `src` to `tgt`.
@guppy
def teleport(src: Qubit, tgt: Qubit) -> Qubit:
   # Create ancilla and entangle it with src and tgt
   tmp = Qubit()
   tmp, tgt = cx(h(tmp), tgt)
   src, tmp = cx(src, tmp)
   
   # Apply classical corrections
   if measure(h(src)):
      tgt = z(tgt)
   if measure(tmp):
      tgt = x(tgt)
   return tgt

More examples and tutorials are available here.

Install

Guppy can be installed via pip. Requires Python >= 3.10.

pip install guppylang

Usage

See the Getting Started guide and the other examples.

Development

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Python >= 3.10
• Poetry
• Rust >= 1.75.0 (only needed for tests)

Installing

Run the following to setup your virtual environment and install dependencies:

poetry install --with validation

Note that the --with validation flag is optional and only needed to run integration tests.

You can then activate the virtual environment and work within it with:

poetry shell

Consider using direnv to automate this when entering and leaving a directory.

To run a single command in the shell, just prefix it with poetry run.

Pre-commit

Install the pre-commit hook by running:

poetry run pre-commit install

Testing

Run tests using

poetry run pytest -v

You have to install extra dependencies to test automatic circuit conversion from pytket:

poetry install --with pytket
poetry run pytest -v  # Now rerun tests

Integration test cases can be exported to a directory using

poetry run pytest --export-test-cases=guppy-exports

which will create a directory ./guppy-exports populated with hugr modules serialised in JSON.

License

This project is licensed under Apache License, Version 2.0 (LICENCE or http://www.apache.org/licenses/LICENSE-2.0).