Photonic band structure design using persistent homology

The machine learning technique of persistent homology classifies complex systems or datasets by computing their topological features over a range of characteristic scales. There is growing interest in applying persistent homology to characterize physical systems such as spin models and multiqubit en...

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Bibliographic Details
Main Authors: Daniel Leykam, Dimitris G. Angelakis
Format: Article
Language:English
Published: AIP Publishing LLC 2021-03-01
Series:APL Photonics
Online Access:http://dx.doi.org/10.1063/5.0041084