Universal polarization transformations using a deep learning-designed diffractive processor

Abstract

We report a diffractive polarization processor, composed of engineered diffractive layers and polarizer arrays, to implement a large set of 10,000 arbitrarily-selected, complex-valued polarization scattering matrices, enabling universal polarization transformations between spatially-varying input-output polarization fields.