Experimental Identification of the Second‐Order Non‐Hermitian Skin Effect with Physics‐Graph‐Informed Machine Learning

Experimental Identification of the Second‐Order Non‐Hermitian Skin Effect with Physics‐Graph‐Informed Machine Learning

Abstract Topological phases of matter are conventionally characterized by the bulk‐boundary correspondence in Hermitian systems. The topological invariant of the bulk in d dimensions corresponds to the number of (d − 1)‐dimensional boundary states. By extension, higher‐order topological insulators r...

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Bibliographic Details
Main Authors: Ce Shang, Shuo Liu, Ruiwen Shao, Peng Han, Xiaoning Zang, Xiangliang Zhang, Khaled Nabil Salama, Wenlong Gao, Ching Hua Lee, Ronny Thomale, Aurélien Manchon, Shuang Zhang, Tie Jun Cui, Udo Schwingenschlögl
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Advanced Science
Subjects:
graph visualization
machine learning
non‐Hermitian circuit
skin effect
topology
Online Access:https://doi.org/10.1002/advs.202202922

Internet

https://doi.org/10.1002/advs.202202922

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