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Abstract: This paper studies quantum annealing QA for clustering, which can be seenas an extension of simulated annealing SA. We derive a QA algorithm forclustering and propose an annealing schedule, which is crucial in practice.Experiments show the proposed QA algorithm finds better clustering assignmentsthan SA. Furthermore, QA is as easy as SA to implement.



Author: Kenichi Kurihara, Shu Tanaka, Seiji Miyashita

Source: https://arxiv.org/



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