Hybrid Quantum Annealing for Clustering Problems

TL;DR

This paper introduces a hybrid quantum annealing method that controls temperature and quantum fields simultaneously to improve clustering solutions, outperforming standard simulated annealing.

Contribution

The paper presents a novel hybrid quantum annealing approach with a specific schedule for thermal and quantum fluctuations tailored for clustering problems.

Findings

Better clustering solutions than simulated annealing

Effective schedule for thermal and quantum fluctuations

Demonstrated efficiency in information science applications

Abstract

We develop a hybrid type of quantum annealing in which we control temperature and quantum field simultaneously. We study the efficiency of proposed quantum annealing and find a good schedule of changing thermal fluctuation and quantum fluctuation. In this paper, we focus on clustering problems which are important topics in information science and engineering. We obtain the better solution of the clustering problem than the standard simulated annealing by proposed quantum annealing.