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

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

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

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks, IJCNN 2005
Pages1104-1107
Number of pages4
Volume2
DOIs
Publication statusPublished - 2005 Dec 1
EventInternational Joint Conference on Neural Networks, IJCNN 2005 - Montreal, QC, Canada
Duration: 2005 Jul 312005 Aug 4

Other

OtherInternational Joint Conference on Neural Networks, IJCNN 2005
CountryCanada
CityMontreal, QC
Period05/7/3105/8/4

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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  • Cite this

    Nakamiya, Y., Kinjo, M., Takahashi, O., Sato, S., & Nakajima, K. (2005). Basic property of a quantum neural network composed of Kane's qubits. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005 (Vol. 2, pp. 1104-1107). [1556007] https://doi.org/10.1109/IJCNN.2005.1556007