Breaking the Fabrication Determined Resolution Limit of Photonic Crystal Wavemeter by Machine Learning

Jocelyn Hofs, Takumasa Kodama, Shengji Jin, Takasumi Tanabe

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

Abstract

By utilizing random localization patterns as training data for machine learning, we achieved a 0.2-nm wavelength resolution with a fabricated photonic crystal wavemeter, which greatly exceeds the limit imposed by the fabrication.

Original languageEnglish
Title of host publication2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580767
Publication statusPublished - 2020 May
Event2020 Conference on Lasers and Electro-Optics, CLEO 2020 - San Jose, United States
Duration: 2020 May 102020 May 15

Publication series

NameConference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
Volume2020-May
ISSN (Print)1092-8081

Conference

Conference2020 Conference on Lasers and Electro-Optics, CLEO 2020
CountryUnited States
CitySan Jose
Period20/5/1020/5/15

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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