A fast large scale emulator for quantum machine learning on a PyTorch backend.
To install the library for development, you can go into any virtual environment of your
choice and install it normally with pip (including extra dependencies for development):
python -m pip install -e .[dev,converters]
Available extras:
dev: development dependencies needed only if you want to contribute to PyQconverters: dependencies needed by the quantum circuit converters to other SDKs
If you want to contribute to the package, make sure to execute tests and MyPy checks
otherwise the automatic pipeline will not pass. To do so, the recommended way is
to use hatch for managing the environments:
hatch env create tests
hatch --env tests run python -m pytest -vvv --cov pyqtorch tests
hatch --env tests run python -m mypy pyqtorch testsIf you don't want to use hatch, you can use the environment manager of your choice (e.g. Conda) and execute
the following:
pip install -e .[dev]
pytest -vvv --cov pyqtorch tests
mypy pyqtorch tests