Greedy circuit cutting and a minimal scheduler based on a Mixed Integer Linear Programming problem.

The project is managed with pdm. Simply use pdm install to install all necessary dependencies. We recommend using a virtual environment.

The data module holds the experimental data and setup. milp.py is a sample using synthetic data. The benchmark results can be reproduced with python run_experiments.py

MILQ is developed test driven, to see its functionality refer to the test directory. We use pytest as a testing environment.

MILQ implements the methods described in the following paper.

[1] P. Seitz and M. Geiger and C. B. Mendl. Multithreaded parallelism for heterogeneous clusters of QPUs.