Counting topological interface modes using simplicial characteristic classes
N. Bohlsen, I. Y. Dodin, H. Qin

TL;DR
This paper introduces a robust, noise-resistant computational method using simplicial characteristic classes to accurately predict topological interface modes in hermitian systems, with potential applications in experimental wave analysis.
Contribution
It presents a novel, gauge-invariant algorithm that computes Chern numbers via simplicial complexes, enabling precise prediction of TIMs in complex systems.
Findings
Successfully predicts TIMs in fluid wave models
Reproduces expected TIM counts in topological Langmuir waves
Demonstrates robustness to noise and applicability to experimental data
Abstract
A computational approach for predicting the number of topological interface modes (TIMs) in hermitian systems using the spectral flow - monopole (SFM) correspondence is presented. The number of TIMs is determined by calculating the Chern number of a complex line bundle of local polarisation vectors over a phase space sphere surrounding a Weyl point. The Chern number is computed by constructing the simplicial first Chern class of a discrete vector bundle on a simplicial mesh. This approach is gauge invariant, derivative free, structure preserving, and robust to noise. The algorithm is shown to reproduce the expected number of TIMs for the case of equatorial fluid waves and the topological Langmuir cyclotron wave. The possibility of using this algorithm to analyse experimental measurements of bulk wave polarisations and predict the associated number of TIMs is explored in a synthetic…
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
TopicsTopological Materials and Phenomena · Quantum Mechanics and Non-Hermitian Physics · Quantum, superfluid, helium dynamics
