Interdimensional optical isospectrality inspired by graph networks
Sunkyu Yu, Xianji Piao, Jiho Hong, Namkyoo Park

TL;DR
This paper introduces a method to design reduced-dimensional optical structures that preserve spectral properties of complex graph networks, enabling simpler broadband devices through interdimensional isospectrality.
Contribution
It leverages the mathematical similarity between Hamiltonians across dimensions to achieve perfect spectral preservation in lower-dimensional optical structures.
Findings
High-degree graph networks can be projected onto 1D structures without losing spectral properties.
Disorder removes degeneracy, enabling isospectral projection across dimensions.
Simplified 1D structures can replicate the broadband multilevel behavior of complex networks.
Abstract
A network picture has been applied to various physical and biological systems to understand their governing mechanisms intuitively. Utilizing discretization schemes, both electrical and optical materials can also be interpreted as abstract 'graph' networks composed of couplings (edges) between local elements (vertices), which define the correlation between material structures and wave flows. Nonetheless, the fertile structural degrees of freedom in graph theory have not been fully exploited in physics owing to the suppressed long-range interaction between far-off elements. Here, by exploiting the mathematical similarity between Hamiltonians in different dimensions, we propose the design of reduced-dimensional optical structures that perfectly preserve the level statistics of disordered graph networks with significant long-range coupling. We show that the disorder-induced removal of the…
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.
