Hybrid Quantum Annealing for Clustering Problems
Disordered Systems and Neural Networks
2015-03-19 v1 Statistical Mechanics
Quantum Physics
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.
Cite
@article{arxiv.1104.3246,
title = {Hybrid Quantum Annealing for Clustering Problems},
author = {Shu Tanaka and Ryo Tamura and Issei Sato and Kenichi Kurihara},
journal= {arXiv preprint arXiv:1104.3246},
year = {2015}
}
Comments
24 pages, 6 figures, revised version will appear in proceedings of Kinki University Quantum Computing Series: "Summer School on Diversities in Quantum Computation/Information"