Mode visualisation and control of complex lasers using neural networks

TL;DR

This paper presents a neural network-based method to visualize and control the gain profiles of modes in complex lasers, enabling better understanding and manipulation of their behavior without prior knowledge of the system.

Contribution

It introduces a novel neural network approach for visualizing gain distributions and controlling laser modes in complex photonic structures, advancing laser diagnostics and control.

Findings

Successfully visualized gain profiles in complex laser systems

Extended neural network to control laser emission by mode selection

Demonstrated control in a disorderly coupled microring array

Abstract

Understanding the behaviour of complex laser systems is an outstanding challenge, especially in the presence of nonlinear interactions between modes. Hidden features, such as the gain distributions and spatial localisation of lasing modes, often cannot be revealed experimentally, yet they are crucial to determining the laser action. Here, we introduce a lasing spectroscopy method that can visualise the gain profiles of the modes in complex lasers using an artificial neural network. The spatial gain distributions of different lasing modes in a disorderly coupled microring array are reconstructed without prior knowledge of the laser topology. We further extend the neural network to a tandem neural network that can control the laser emission by matching the modal gain/loss profile to selectively enhance the targeted modes. This mode visualisation method offers a new approach to extracting hidden spatial mode features from photonic structures, which could improve our understanding and control of complex photonic systems.