Skip to main navigation Skip to search Skip to main content

Disordered topological graphs enhancing nonlinear phenomena

  • Zhetao Jia
  • , Matteo Seclì
  • , Alexander Avdoshkin
  • , Walid Redjem
  • , Elizabeth Dresselhaus
  • , Joel Moore
  • , Boubacar Kanté
  • University of California at Berkeley
  • Lawrence Berkeley National Laboratory

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Complex networks play a fundamental role in understanding phenomena from the collective behavior of spins, neural networks, and power grids to the spread of diseases. Topological phenomena in such networks have recently been exploited to preserve the response of systems in the presence of disorder. We propose and demonstrate topological structurally disordered systems with a modal structure that enhances nonlinear phenomena in the topological channels by inhibiting the ultrafast leakage of energy from edge modes to bulk modes. We present the construction of the graph and show that its dynamics enhances the topologically protected photon pair generation rate by an order of magnitude. Disordered nonlinear topological graphs will enable advanced quantum interconnects, efficient nonlinear sources, and light-based information processing for artificial intelligence.

Original languageEnglish
Article numbereadf9330
JournalScience Advances
Volume9
Issue number14
DOIs
StatePublished - Apr 7 2023

Fingerprint

Dive into the research topics of 'Disordered topological graphs enhancing nonlinear phenomena'. Together they form a unique fingerprint.

Cite this