A study on learning with a quantum neural network

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

研究成果: Conference contribution

5 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. In this paper, we propose a new learning method for a quantum neural network inspired by Hebb learning. Preliminary but successful results by numerical simulations have been shown. The results indicate that a quantum learning like Hebb rule can be implemented.

本文言語English
ホスト出版物のタイトルInternational Joint Conference on Neural Networks 2006, IJCNN '06
ページ203-206
ページ数4
出版ステータスPublished - 2006 12 1
イベントInternational Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada
継続期間: 2006 7 162006 7 21

Other

OtherInternational Joint Conference on Neural Networks 2006, IJCNN '06
国/地域Canada
CityVancouver, BC
Period06/7/1606/7/21

ASJC Scopus subject areas

  • ソフトウェア

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