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Quantum Optimization Quantum Simulation

Gaussian Boson Sampling for binary optimization

arXiv

Authors: Jean Cazalis, Yahui Chai, Karl Jansen, Stefan Kühn, Tirth Shah

Year

2023

Paper ID

52581

Status

Preprint

Abstract Read

~2 min

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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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This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
It adds a 2023 reference point for readers tracking recent quantum research.
In this study, we consider a Gaussian Boson Sampler for solving a Flight Gate Assignment problem.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2312.07235 [2] arXiv https://arxiv.org/abs/2312.07235 [3] Publisher https://arxiv.org/abs/2312.07235

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