  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.
