pyqtorch is a PyTorch-based state vector simulator designed for quantum machine learning.
It acts as the main backend for Qadence
, a digital-analog quantum programming interface.
pyqtorch
allows for writing fully differentiable quantum programs using both digital and analog operations; enabled via a intuitive, torch-based syntax.
pyqtorch
can be installed from PyPI with pip
as follows:
pip install pyqtorch
We recommend to use the hatch
environment manager to install pyqtorch
from source:
python -m pip install hatch
# get into a shell with all the dependencies
python -m hatch shell
# run a command within the virtual environment with all the dependencies
python -m hatch run python my_script.py
Please note that hatch
will not combine nicely with other environment managers such Conda. If you want to use Conda, install pyqtorch
from source using pip
:
# within the Conda environment
python -m pip install -e .
Please refer to CONTRIBUTING to learn how to contribute to pyqtorch
.