Sensitivity and spectral control of network lasers

• Published in: Nature communications Vol. 13; no. 1; pp. 6493 - 7
• Main Authors: Saxena, Dhruv, Arnaudon, Alexis, Cipolato, Oscar, Gaio, Michele, Quentel, Alain, Yaliraki, Sophia, Pisignano, Dario, Camposeo, Andrea, Barahona, Mauricio, Sapienza, Riccardo
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 30-10-2022; Nature Publishing Group; Nature Portfolio
• Subjects: 639/301/1019/1015; 639/301/1019/1020; 639/624/1020; 639/766/1130/2799; Complexity; Humanities and Social Sciences; Lasers; Lasing; Light sources; multidisciplinary; Networks; Nonlinear equations; Photonics; Polymers; Science; Science (multidisciplinary); Spectral control; Spectral sensitivity; Switching
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/s41467-022-34073-3

Recently, random lasing in complex networks has shown efficient lasing over more than 50 localised modes, promoted by multiple scattering over the underlying graph. If controlled, these network lasers can lead to fast-switching multifunctional light sources with synthesised spectrum. Here, we observe both in experiment and theory high sensitivity of the network laser spectrum to the spatial shape of the pump profile, with some modes for example increasing in intensity by 280% when switching off 7% of the pump beam. We solve the nonlinear equations within the steady state ab-initio laser theory (SALT) approximation over a graph and we show selective lasing of around 90% of the strongest intensity modes, effectively programming the spectrum of the lasing networks. In our experiments with polymer networks, this high sensitivity enables control of the lasing spectrum through non-uniform pump patterns. We propose the underlying complexity of the network modes as the key element behind efficient spectral control opening the way for the development of optical devices with wide impact for on-chip photonics for communication, sensing, and computation.
Nanophotonic light sources with programmable emission spectrum are important building blocks for integrated photonics, sensing and optical computing. Here the authors tune the complex laser spectrum of a network laser achieving selective lasing of a single, two or more modes.