Machine learning of phase transitions in nonlinear polariton lattices

Abstract

The strong nonlinearity and absence of particle conservation leads to non-equilibrium nature of exciton-polariton condensates. Here, an unsupervised machine learning approach is employed to map phases of a polariton condensate lattice, and classify unique polarization patterns