2 papers
eess.SP2023
Experiment-based deep learning approach for power allocation with a programmable metasurface
Jingxin Zhang, Jiawei Xi, Peixing Li +3
Deep learning, as a highly efficient method for metasurface inverse design, commonly use simulation data to train deep neural networks (DNNs) that can map desired functionalities t…
physics.optics2023
Metasurface for programmable quantum algorithms with quantum and classical light
Randy Stefan Tanuwijaya, Hong Liang, Jiawei Xi +3
Metasurfaces have recently opened up applications in the quantum regime, including quantum tomography and the generation of quantum entangled states. With their capability to store…