Classifying photonic topological phases using manifold learning

Or Yair, Eran Lustig, Ronen Talmon, Mordechai Segev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We use Manifold Learning to classify topological phases of photonic systems, from an arbitrary set of measurements without any prior knowledge or assumptions.

Original languageEnglish
Title of host publicationCLEO
Subtitle of host publicationQELS_Fundamental Science, CLEO_QELS 2018
DOIs
StatePublished - 2018
EventCLEO: QELS_Fundamental Science, CLEO_QELS 2018 - San Jose, United States
Duration: 13 May 201818 May 2018

Publication series

NameOptics InfoBase Conference Papers
VolumePart F93-CLEO_QELS 2018

Conference

ConferenceCLEO: QELS_Fundamental Science, CLEO_QELS 2018
Country/TerritoryUnited States
CitySan Jose
Period13/05/1818/05/18

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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