Bidirectional Optimal Quantum Control: A Use Case of Polarization in Liquid Crystals

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.