The stoqcompiler package provides a toolset for stochastic approximate quantum compilation as introduced in Quantum 7, 997 (2023).

The stoqcompiler package distribution is hosted on PyPI and can be installed via pip:

pip install stoqcompiler

Alternatively, the package and its requirements can be installed by cloning the repository locally:

git clone https://github.com/rmshaffer/stoq-compiler
cd stoq-compiler
pip install -r requirements.txt
pip install -e .

For examples of using stoqcompiler, see the example notebooks and unit tests.

If you use or refer to this project in any publication, please cite the corresponding paper:

Ryan Shaffer, Hang Ren, Emiliia Dyrenkova, Christopher G. Yale, Daniel S. Lobser, Ashlyn D. Burch, Matthew N. H. Chow, Melissa C. Revelle, Susan M. Clark, Hartmut Häffner. Sample-efficient verification of continuously-parameterized quantum gates for small quantum processors. Quantum 7, 997 (2023).

Please note that this repository contains the data and code used to generate each of the figures in the above-mentioned paper.