Quantum annealing for clustering

Kenichi Kurihara, Shu Tanaka, Seiji Miyashita

研究成果: Paper査読

7 被引用数 (Scopus)

抄録

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

本文言語English
ページ321-328
ページ数8
出版ステータスPublished - 2009 12 1
外部発表はい
イベント25th Conference on Uncertainty in Artificial Intelligence, UAI 2009 - Montreal, QC, Canada
継続期間: 2009 6 182009 6 21

Conference

Conference25th Conference on Uncertainty in Artificial Intelligence, UAI 2009
国/地域Canada
CityMontreal, QC
Period09/6/1809/6/21

ASJC Scopus subject areas

  • 人工知能
  • 応用数学

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