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Limbacher, Benedikt; Schoenhuber, Sebastian; Kainz, Martin Alexander; Bachelard, Nicolas; Andrews, Aaron Maxwell; Detz, Hermann; Strasser, Gottfried; Darmo, Juraj; Unterrainer, Karl
Optics express, 07/2021, Letnik: 29, Številka: 15Journal Article
Artificial neural networks are capable of fitting highly non-linear and complex systems. Such complicated systems can be found everywhere in nature, including the non-linear interaction between optical modes in laser resonators. In this work, we demonstrate artificial neural networks trained to model these complex interactions in the cavity of a Quantum Cascade Random Laser. The neural networks are able to predict modulation schemes for desired laser spectra in real-time. This radically novel approach makes it possible to adapt spectra to individual requirements without the need for lengthy and costly simulation and fabrication iterations.
