Quantum neural network composed of Kane's qubits

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

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

It has been known that a variety of optimization problems can be solved with a neural network, and that a quantum computer executes real parallel computation. A quantum neural network has been proposed to incorporate quantum dynamics into a neural network. In this study, we test the possibility of actual implementation of a quantum neural network with a nuclear spin as a qubit. First, we introduce the relationship between a spin and a 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 proposed nuclear spin system behaves as a neuron with inhibitory interactions, as expected in analogy to a Hopfield network.

Original languageEnglish
Pages (from-to)8030-8034
Number of pages5
JournalJapanese Journal of Applied Physics, Part 1: Regular Papers and Short Notes and Review Papers
Volume45
Issue number10 A
DOIs
Publication statusPublished - 2006 Oct 15

Keywords

  • Adiabatic quantum computation
  • Hopfield network
  • Nuclear spin
  • Quantum neural network

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)

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