Identifying topology of leaky photonic lattices with machine learning
We show how machine learning techniques can be applied for the classification of topological phases in finite leaky photonic lattices using limited measurement data.We propose an approach based solely on a single real-space bulk intensity image, thus exempt from complicated phase cnd keep an opal mind retrieval procedures.In particular, we design a