title: Quantum versus simulated annealing in wireless interference network optimization.
abstract: Quantum annealing (QA) serves as a specialized optimizer that is able to solve many NP-hard problems and that is believed to have a theoretical advantage over simulated annealing (SA) via quantum tunneling. With the introduction of the D-Wave programmable quantum annealer, a considerable amount of effort has been devoted to detect and quantify quantum speedup. While the debate over speedup remains inconclusive as of now, instead of attempting to show general quantum advantage, here, we focus on a novel real-world application of D-Wave in wireless networking-more specifically, the scheduling of the activation of the air-links for maximum throughput subject to interference avoidance near network nodes. In addition, D-Wave implementation is made error insensitive by a novel Hamiltonian extra penalty weight adjustment that enlarges the gap and substantially reduces the occurrence of interference violations resulting from inevitable spin bias and coupling errors. The major result of this paper is that quantum annealing benefits more than simulated annealing from this gap expansion process, both in terms of ST99 speedup and network queue occupancy. It is the hope that this could become a real-word application niche where potential benefits of quantum annealing could be objectively assessed.
authors.affiliation: Department of Electrical Engineering, University of Southern California, Los Angeles, CA90089, USA.
authors.forename: Chi
authors.initials: C
authors.lastname: Wang
authors.affiliation: Department of Electrical Engineering, University of Southern California, Los Angeles, CA90089, USA.
authors.forename: Huo
authors.initials: H
authors.lastname: Chen
authors.affiliation: Department of Electrical Engineering, University of Southern California, Los Angeles, CA90089, USA.
authors.forename: Edmond
authors.initials: E
authors.lastname: Jonckheere