Nanoscale Photonic Network for Solution Searching and Decision Making Problems

Makoto NARUSE; Masashi AONO; Song-Ju KIM

doi:10.1587/transcom.E96.B.2724

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Nanoscale Photonic Network for Solution Searching and Decision Making Problems

Makoto NARUSE, Masashi AONO, Song-Ju KIM

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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 between the 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.

Publication: IEICE TRANSACTIONS on Communications Vol.E96-B No.11 pp.2724-2732

Publication Date: 2013/11/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E96.B.2724

Type of Manuscript: Special Section INVITED PAPER (Special Section on Progress in Information Network Science)

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Authors

Makoto NARUSE
  National Institute of Information and Communications Technology
Masashi AONO
  Tokyo Institute of Technology
Song-Ju KIM
  National Institute for Materials Science

Keyword

nanophotonics, optical energy transfer, nature-inspired architecture, solution searching, decision making

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Makoto NARUSE, Masashi AONO, Song-Ju KIM, "Nanoscale Photonic Network for Solution Searching and Decision Making Problems" in IEICE TRANSACTIONS on Communications, vol. E96-B, no. 11, pp. 2724-2732, November 2013, doi: 10.1587/transcom.E96.B.2724.
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 between the 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.2724/_p

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@ARTICLE{e96-b_11_2724,
author={Makoto NARUSE, Masashi AONO, Song-Ju KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Nanoscale Photonic Network for Solution Searching and Decision Making Problems},
year={2013},
volume={E96-B},
number={11},
pages={2724-2732},
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 between the 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.},
keywords={},
doi={10.1587/transcom.E96.B.2724},
ISSN={1745-1345},
month={November},}

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TY - JOUR
TI - Nanoscale Photonic Network for Solution Searching and Decision Making Problems
T2 - IEICE TRANSACTIONS on Communications
SP - 2724
EP - 2732
AU - Makoto NARUSE
AU - Masashi AONO
AU - Song-Ju KIM
PY - 2013
DO - 10.1587/transcom.E96.B.2724
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2013
AB - 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 between the 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.
ER -