Sensitivity and spectral control of network lasers

Dhruv Saxena, Alexis Arnaudon, Oscar Cipolato, Michele Gaio, Alain Quentel, Sophia Yaliraki, Dario Pisignano, Andrea Camposeo (), Mauricio Barahona () and Riccardo Sapienza ()
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Dhruv Saxena: Imperial College London
Alexis Arnaudon: Imperial College London
Oscar Cipolato: Imperial College London
Michele Gaio: Imperial College London
Alain Quentel: Imperial College London
Sophia Yaliraki: Imperial College London
Dario Pisignano: NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore
Andrea Camposeo: NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore
Mauricio Barahona: Imperial College London
Riccardo Sapienza: Imperial College London

Nature Communications, 2022, vol. 13, issue 1, 1-7

Abstract: Abstract 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.

Date: 2022
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DOI: 10.1038/s41467-022-34073-3

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