Decision maker based on nanoscale photo-excitation transfer

Song Ju Kim, Makoto Naruse, Masashi Aono, Motoichi Ohtsu, Masahiko Hara

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27 Citations (Scopus)

Abstract

Decision-making is one of the most important intellectual abilities of the human brain. Here we propose an efficient decision-making system which uses optical energy transfer between quantum dots (QDs) mediated by optical near-field interactions occurring at scales far below the wavelength of light. The simulation results indicate that our system outperforms the softmax rule, which is known as the best-fitting algorithm for human decision-making behaviour. This suggests that we can produce a nano-system which makes decisions efficiently and adaptively by exploiting the intrinsic spatiotemporal dynamics involving QDs mediated by optical near-field interactions.

Original languageEnglish
Article number2370
JournalScientific reports
Volume3
DOIs
Publication statusPublished - 2013 Jan 1

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