A study on learning with a quantum neural network

Mitsunaga Kinjo; Shigeo Sato; Koji Nakajima

A study on learning with a quantum neural network

Mitsunaga Kinjo, Shigeo Sato, Koji Nakajima

電気通信研究所・情報デバイス研究部門

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月 1
イベント	International Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada 継続期間: 2006 7月 16 → 2006 7月 21

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Other	International Joint Conference on Neural Networks 2006, IJCNN '06
国/地域	Canada
City	Vancouver, BC
Period	06/7/16 → 06/7/21

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引用スタイル

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title = "A study on learning with a quantum neural network",

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. 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.",

author = "Mitsunaga Kinjo and Shigeo Sato and Koji Nakajima",

year = "2006",

month = dec,

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language = "English",

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note = "International Joint Conference on Neural Networks 2006, IJCNN '06 ; Conference date: 16-07-2006 Through 21-07-2006",

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AU - Kinjo, Mitsunaga

AU - Sato, Shigeo

AU - Nakajima, Koji

PY - 2006/12/1

Y1 - 2006/12/1

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:40649102471

SN - 0780394909

SN - 9780780394902

SP - 203

EP - 206

BT - International Joint Conference on Neural Networks 2006, IJCNN '06

T2 - International Joint Conference on Neural Networks 2006, IJCNN '06

Y2 - 16 July 2006 through 21 July 2006

ER -

A study on learning with a quantum neural network

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