Energy dissipation effect on a quantum neural network

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationNeural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers
Pages730-737
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - 2008 Oct 23
Event14th International Conference on Neural Information Processing, ICONIP 2007 - Kitakyushu, Japan
Duration: 2007 Nov 132007 Nov 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4985 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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