Spectral Mixing, Skin Localization, and Linear Optical Response in Dissipative Photonic Lattices
Chen-Huan Wu
Abstract
We study the linear optical response of a finite dissipative Hatano--Nelson photonic lattice. The response between selected input and output ports is resolved into a phase-coherent intensity and an incoherent modal-weight contribution using the biorthogonal Green function. Their comparison isolates interference among non-Hermitian modal residues, while a response-weight entropy and the associated participation number quantify how broadly the measured signal is distributed over the complex modes. The numerical results show that loss broadens the modal distribution, periodic-boundary spectral winding increases modal participation, and onsite disorder reduces it. Time-domain quantum-walk dynamics independently display the drift and right-edge accumulation produced by non-reciprocal hopping under open boundaries. A parameter map in the (g,W) plane, supplemented by disorder-ensemble averages, identifies a finite-size crossover in which responds to disorder before the response-weighted center is displaced from the skin boundary. The analysis applies to coupled waveguides, microring arrays, driven cavity lattices, and other linear photonic platforms with loss, gain, or non-reciprocal coupling.
Create a lesson
Related papers
Correlation geometry and topology of structured optical beams
Jyrki Laatikainen, Olga Korotkova
Dual-comb generated in single thin-film lithium niobate microrings
Renhong Gao, Qifeng Hou, Xinzhi Zheng et al.
350-GHz-Band 4 by 4 RTD Monostatic Radar Array for Sequential Multidirectional Ranging
Li Yi, Ryoma Nakamura, Shota Ito et al.
Multi-contrast wide-field mid-infrared photothermal imaging
Anooj Thayyil Raveendran, Cornelia Reuter, Samir F. El-Mashtoly et al.
Topological photonic cavities based on dissimilar Bragg gratings
Alejandro Sánchez-Sánchez, José Manuel Luque-González, Gauthier Krizman et al.
Wavelength-Multiplexed Nonlinear Computing with a Single-Layer Diffractive Optical Processor
Yongkang Cheng, Che-Yung Shen, Yuntian Wang et al.