In this study, we consider a Gaussian Boson Sampler for solving a Flight Gate Assignment problem. We employ a Variational Quantum Eigensolver approach using the Conditional Value-at-risk cost function. We provide proof of principle by carrying out numerical simulations on randomly generated instances.
@article{arxiv.2312.07235,
title = {Gaussian Boson Sampling for binary optimization},
author = {Jean Cazalis and Yahui Chai and Karl Jansen and Stefan Kühn and Tirth Shah},
journal= {arXiv preprint arXiv:2312.07235},
year = {2023}
}
Comments
3 pages, 2 figures, presented at 2023 IEEE International Conference on Quantum Computing and Engineering (QCE)