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Disordered topological graphs enhancing nonlinear phenomena.

Zhetao Jia1, Matteo Seclì1, Alexander Avdoshkin2

  • 1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.

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Summary
This summary is machine-generated.

We developed disordered nonlinear topological graphs that enhance topological phenomena. This innovation boosts photon pair generation rates, paving the way for advanced quantum technologies and AI applications.

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Area of Science:

  • Physics
  • Quantum Information Science
  • Materials Science

Background:

  • Complex networks are crucial for understanding diverse phenomena, from neural networks to disease spread.
  • Topological phenomena in networks offer robustness against system disorder.
  • Exploiting topological properties is key for preserving system function.

Purpose of the Study:

  • To propose and demonstrate a topological system with enhanced nonlinear phenomena.
  • To inhibit energy leakage from edge modes to bulk modes in disordered systems.
  • To improve topologically protected photon pair generation.

Main Methods:

  • Construction of a novel graph with specific modal structure.
  • Analysis of system dynamics in the presence of structural disorder.
  • Quantification of energy leakage and photon pair generation rates.

Main Results:

  • Demonstrated a topological system with enhanced nonlinear phenomena.
  • Inhibited ultrafast energy leakage from edge to bulk modes.
  • Achieved an order of magnitude enhancement in topologically protected photon pair generation rate.

Conclusions:

  • Disordered nonlinear topological graphs significantly boost photon pair generation.
  • These systems are promising for advanced quantum interconnects.
  • Potential applications include efficient nonlinear sources and AI-driven light-based information processing.