Paper 14090-31
Paper 14090-31
Experimental and numerical analysis of semiconductor laser network dynamics
14 April 2026 • 09:40 - 10:00 CEST | Leicester/Salon 12 (Niveau/Level 1)
Abstract
We investigate synchronization in an all-to-all coupled semiconductor laser (SL) network with optical feedback. Through combined numerical and experimental studies, we characterize the network dynamics under frequency detuning, coupling delay mismatches, and parameter heterogeneities. Using a four-node polarization-maintaining fiber-coupled system with very low lasing threshold lasers for improved power efficiency, we control coupling strength and laser detuning to tune the network’s synchronization and nonlinear responses. Numerical simulations incorporating measured heterogeneities reveal chaotic synchronization with cross-correlations up to 0.9. Experiments also reveal cross-correlations between SL pairs of up to 0.9. These findings demonstrate that controlled coupling and frequency detuning enable high synchronization and diverse dynamics, validating semiconductor laser networks as promising hardware substrates for neuro-inspired information processing applications.
Presenter
Instituto de Física Interdisciplinar y Sistemas Complejos - IFISC (UIB-CSIC) (Spain)
Mohammadreza Mokhtari is a Marie Skłodowska–Curie Actions doctoral researcher at the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), University of the Balearic Islands, Palma de Mallorca, Spain, and a member of the POST-DIGITAL+ European Training Network. His research focuses on brain-inspired computing with light, particularly fiber-coupled semiconductor laser networks for high-speed information processing. His research interests include photonic systems, nonlinear laser dynamics, and optical reservoir computing.