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.
The preprint is available as arXiv:2409.01373
To cite, feel free to use this bibtex entry:
@Misc{bochkarev2024,
author = {Bochkarev, Alexey and Heese, Raoul and Jäger, Sven and Schiewe, Philine and Schöbel, Anita},
howpublished={Preprint},
title = {Quantum Computing for Discrete Optimization: A Highlight of Three Technologies},
year = {2024},
month = sep,
archiveprefix = {arXiv},
doi = {10.48550/arXiv.2409.01373},
eprint = {2409.01373},
url = {https://arxiv.org/abs/2409.01373},
primaryclass = {math.OC},
copyright = {Creative Commons Attribution 4.0 International}
}