Utilising a Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems
arXiv:2405.17676 · doi:10.1145/3638530.3664097
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.
4 pages