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Reconfigurable Soliton Microcombs via Genetic Algorithms

  • Celine Mazoukh*
  • , Luigi di Lauro
  • , Bennet Fischer
  • , Abdulrahim Aadhi
  • , Imtiaz Alamgir
  • , Armaghan Eshaghi
  • , Brent Little
  • , Sai Chu
  • , David Moss
  • , Roberto Morandotti
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

We illustrate a novel strategy to robustly generate combs in microring resonators pumped with a continuous-wave laser source, by employing genetic algorithms to optimize the parameters required for coherent state generation. © 2023 IEEE.
Original languageEnglish
Title of host publication2023 Photonics North (PN)
PublisherIEEE
Number of pages2
ISBN (Electronic)9798350326734
ISBN (Print)979-8-3503-2674-1
DOIs
Publication statusPublished - 2023
Event2023 Photonics North (PN 2023) - Palais des congrès de Montréal, Montreal, Canada
Duration: 12 Jun 202315 Jun 2023
https://255.quebecconference.org/en/about/previous-conferences

Publication series

NamePhotonics North, PN
ISSN (Print)2693-8324
ISSN (Electronic)2693-8316

Conference

Conference2023 Photonics North (PN 2023)
PlaceCanada
CityMontreal
Period12/06/2315/06/23
Internet address

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Research Keywords

  • frequency combs
  • genetic algorithms
  • machine learning
  • solitons

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