arXiv · 2312.07235
Gaussian Boson Sampling for binary optimization
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.
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Jean Cazalis, Yahui Chai, Karl Jansen, Stefan Kühn, Tirth Shah. 2023-12-12. Gaussian Boson Sampling for binary optimization. https://doi.org/10.1109/qce57702.2023.10268
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