Nanoscale photonic network for solution searching and decision making problems

Makoto Naruse, Masashi Aono, Song Ju Kim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Nature-inspired devices and architectures are attracting considerable attention for various purposes, including the development of novel computing techniques based on spatiotemporal dynamics, exploiting stochastic processes for computing, and reducing energy dissipation. This paper demonstrates that networks of optical energy transfers between quantum nanostructures mediated by optical near-field interactions occurring at scales far below the wavelength of light could be utilized for solving a constraint satisfaction problem (CSP), the satisfiability problem (SAT), and a decision making problem. The optical energy transfer from smaller quantum dots to larger ones, which is a quantum stochastic process,depends on the existence of resonant energy levels betweenthe quantum dots or a state-filling effect occurring at the larger quantum dots. Such a spatiotemporal mechanism yields different evolutions of energy transfer patterns in multi-quantum-dot systems. We numerically demonstrate that networks of optical energy transfers can be used for solution searching and decision making. We consider that such an approach paves the way to a novel physical informatics in which both coherent and dissipative processes are exploited, with low energy consumption.

Original languageEnglish
Pages (from-to)2724-2732
Number of pages9
JournalIEICE Transactions on Communications
VolumeE96-B
Issue number11
DOIs
Publication statusPublished - 2013 Nov
Externally publishedYes

Keywords

  • Decision making
  • Nanophotonics
  • Nature-inspired architecture
  • Optical energy transfer
  • Solution searching

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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