Quantum adiabatic evolution algorithm for a quantum neural network

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

研究成果: Chapter

11 被引用数 (Scopus)

抄録

In this paper, a new quantum algorithm for solving the combinatorial optimization problems is discussed. It is based on the quantum adiabatic evolution algorithm. We propose a new method for synthesizing a Hamiltonian inspired by a Hopfield network in order to improve calculation cost. The quantum system given by a new Hamiltonian has neuron-like interactions and shows quantum behavior. We present simulation results of the new algorithm for the 4-queen problem.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu
出版社Springer Verlag
ページ951-958
ページ数8
ISBN(印刷版)3540404082, 9783540404088
DOI
出版ステータスPublished - 2003

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)
2714
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

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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