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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.
Science Advances
|April 5, 2023
Summary
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.
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.
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