THz field detection in graphene using deep neural networks

Abstract

We propose a graphene-based terahertz detection scheme capable of measuring not only pulse energy but also electric field shape. The scheme leverages strong nonlinear velocity saturation characteristics of graphene in combination with envelope-carrier phase offset imposed by propagation of the pulses through the dispersive medium to produce shape-dependent electric charge. These charges can then be easily detected by conventional electronics, and as numerical calculations show, the original pulse shape can be recovered with the help of deep neural networks.