Bidirectional optimal quantum control: A use case of polarization in liquid crystals

Abstract

We present optimal control of quantum devices using deep neural networks. Our approach avoids the ambiguity of classical control variables by unsupervised-like learning. The method is used for the accurate preparation of polarization quantum bits.