Course Details

PHYS 311: Nonlinear Optoelectronic Dynamics

The course will start from basic electromagnetism and model the dynamics of laser light interfering via modulated optoelectronics, including feedback with time-delays. Techniques from non-linear time-series data analysis will be used to characterize the various different kinds of dynamics. Basic concepts of information theory, network dynamics, and machine learning based on reservoir computing will be introduced. There will be significant hands-on work, with an exploration of applications to signal processing, optical communication, and random number generation. Prerequisite: Physics 228 and 235
6 credits; NE; Offered Fall 2020; R. Roy