Joint Learning of Laser Relative Intensity and Frequency Noise from Single Experiment and Single Detected Quadrature

Abstract

Bayesian inference framework, that considers laser-physics, is proposed and demonstrated for joint learning of laser static and dynamic parameters. Proof-of-concept experimental results demonstrating the main concepts are presented as well.