Utilising a Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems

Mayowa Ayodele
5/27/2024
quant-phcs.AI

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Abstract

The intersection between quantum computing and optimisation has been an area of interest in recent years. There have been numerous studies exploring the application of quantum and quantum-hybrid solvers to various optimisation problems. This work explores scalarisation methods within the context of solving the bi-objective quadratic assignment problem using a quantum-hybrid solver. We show results that are consistent with previous research on a different Ising machine.

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Cite this paper

@article{ayodele2024utilising,
  title  = {Utilising a Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems},
  author = {Mayowa Ayodele},
  year   = {2024},
  eprint = {2405.17676},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2405.17676v1}
}

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