Gaussian Boson Sampling for binary optimization
arXiv:2312.07235 · doi:10.1109/QCE57702.2023.10268
Abstract
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.
arXiv comment3 pages, 2 figures, presented at 2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
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