Energy dissipation effect on a quantum neural network

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

A quantum neural network based on the adiabatic quantum computation is one of candidates to overcome the difficulty for developing a quantum computation algorithm. Furthermore, by applying energy dissipation to the adiabatic quantum computation, an application of the quantum neural network is expanded. In this paper, we discuss effect which arises from the utilization of energy dissipation on a quantum neural network. Preliminary results which have been shown by numerical simulations indicate an availability of the energy dissipation for the quantum neural network.

本文言語English
ホスト出版物のタイトルNeural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers
ページ730-737
ページ数8
PART 2
DOI
出版ステータスPublished - 2008 10 23
イベント14th International Conference on Neural Information Processing, ICONIP 2007 - Kitakyushu, Japan
継続期間: 2007 11 132007 11 16

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
4985 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other14th International Conference on Neural Information Processing, ICONIP 2007
国/地域Japan
CityKitakyushu
Period07/11/1307/11/16

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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