Reconfigurable Defect States in Non-Hermitian Topolectrical Chains with Gain and Loss
S. M. Rafi-Ul-Islam, Zhuo Bin Siu, Md Saddam Hossain Razo, Mansoor B.A. Jalil

TL;DR
This paper explores how non-Hermitian effects, PT symmetry, and gain-loss engineering can dynamically reconfigure defect states in topological electrical chains, enabling controllable localization for advanced signal processing.
Contribution
It introduces a method to reconfigure defect state localization in non-Hermitian topoelectrical systems using gain and loss, extending previous work on defect engineering.
Findings
Defect states can localize at the defect, edges, or become delocalized depending on parameters.
Staggered gain and loss restore symmetric localization of topological states.
Experimental circuit simulations confirm tunable defect state localization.
Abstract
We investigate the interplay between the non-Hermitian skin effect (NHSE), parity-time (PT) symmetry, and topological defect states in a finite non-Hermitian Su-Schrieffer-Heeger (SSH) chain. In the conventional NHSE regime, non-reciprocal hopping leads to an asymmetric localization of all eigenstates at one edge of the system, including the bulk and topological edge states. However, the introduction of staggered gain and loss restores the symmetric localization of topological edge states while preserving the bulk NHSE. We further examine the response of defect states in this system, demonstrating that their spatial localization is dynamically controlled by the combined effects of NHSE and PT symmetry. Specifically, we identify three distinct regimes in which the defect states localize at the defect site, shift to the system's edges, or become completely delocalized. These findings…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsChaos-based Image/Signal Encryption
