QC for discrete optimization: code documentation.

These supplementary materials document the numerical experiments for the research project:

“Quantum computing for discrete optimization: a highlight of three technologies”
by A. Bochkarev, R. Heese, S. Jäger, P. Schiewe, and A. Schöbel.

Here we present our computational setup, source code, and the data with format descriptions. Please do not hesitate to reach out if you have any further questions.

Paper: 10.1016/j.ejor.2025.07.063
Preprint: arXiv:2409.01373
Github repository: qopt-overview (source code and data)
To cite (citation.bib):

@article{bochkarev2025,
  title = {Quantum computing for discrete optimization: A highlight of three technologies},
  journal = {European Journal of Operational Research},
  year = {2025},
  issn = {0377-2217},
  doi = {https://doi.org/10.1016/j.ejor.2025.07.063},
  url = {https://www.sciencedirect.com/science/article/pii/S0377221725005880},
  author = {Alexey Bochkarev and Raoul Heese and Sven Jäger and Philine Schiewe and Anita Schöbel},
  keywords = {Combinatorial optimization, Heuristics}
}

Contents:

QC for discrete optimization: code documentation.

Indices and tables