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

arXiv 2405.17676 ↗First posted 27 May 2024quant-ph cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 5 references that are in the map. First posted on arXiv 27 May 2024.

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References · 4

  1. 2020pymoo: Multi-objective Optimization in Pythoncited by 200
  2. 2022Multi-objective QUBO Solver: Bi-objective Quadratic Assignmentcited by 3
  3. 2022A Study of Scalarisation Techniques for Multi-Objective QUBO Solvingcited by 3
  4. 2023Applying Ising Machines to Multi-objective QUBOscited by 2

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