Basic property of a quantum neural network composed of Kane's qubits

Yuuki Nakamiya, Mitsunaga Kinjo, Osamu Takahashi, Shigeo Sato, Koji Nakajima

研究成果: 書籍の章/レポート/Proceedings会議への寄与査読

3 被引用数 (Scopus)

抄録

It has been known a variety of optimization problems can be solved with a neural network, and a quantum computer executes real parallel computation. A quantum neural network has been proposed in order to incorporate quantum dynamics. In this paper, we test the possibility of real implementation of a quantum neural network with a nuclear spin as a qubit First, we introduce the relation between spin and neuron, then describe the adiabatic Hamiltonian evolution applied for the state change. Next, we describe a real spin quantum system and show the simulation results. A nuclear spin system proposed by Kane behaves as a neuron with inhibitory interactions as expected in analogy to a Hopfield network.

本文言語英語
ホスト出版物のタイトルProceedings of the International Joint Conference on Neural Networks, IJCNN 2005
ページ1104-1107
ページ数4
DOI
出版ステータス出版済み - 2005
イベントInternational Joint Conference on Neural Networks, IJCNN 2005 - Montreal, QC, カナダ
継続期間: 2005 7月 312005 8月 4

出版物シリーズ

名前Proceedings of the International Joint Conference on Neural Networks
2

会議

会議International Joint Conference on Neural Networks, IJCNN 2005
国/地域カナダ
CityMontreal, QC
Period05/7/3105/8/4

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