Structured random light

Abstract

In the quest to enhance the capacity and quality of information networks, structured random light has emerged as a promising option. The study of the structured random light and its application in advancing new-generation information networks is reported. First, we establish a robust high-capacity communication system for information transport using structured random light and deep learning algorithm. Second, to enhance the transmission distance in above structured random light communication links, we introduce “perfect” correlation vortices which can maintain their structure even during slow diffraction in free space and remain stable in strong atmospheric turbulence. Third, we propose a multi-function radar incorporating the vortex structure. It effectively manages limited resources to acquire a large amount of information and possesses a high level of versatility to accomplish multiple functions. Finally, we reveal the connection between statistical optics and number theory, which can be utilized for information storage and bolster information security.