Presentation
20 June 2024 Smart Photonics: Characterization and control of modulation instability processes in nonlinear fiber optics
Author Affiliations +
Abstract
We review recent works in optical signal shaping and advanced characterization techniques within the framework of nonlinear fiber propagation. Specifically, we focus on the development of characterization methods based on the dispersive Fourier transform to monitor incoherent spectral broadening processes with enhanced resolution and sensitivity. In this framework, we also discuss recent studies of modulation instability in a noise-driven regime. Paired with suitable optical monitoring techniques, we show that controlled coherent optical seeding can be leveraged via several machine learning approaches to tailor and optimize incoherent spectral broadening dynamics.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lynn Sader, Yassin Boussafa, Van-Thuy Hoang, Surajit Bose, Anahita Khodadad Kashi, Raktim Haldar, Bruno P. Chaves, Alexis Bougaud, Marc Fabert, Vincent Kermène, Alessandro Tonello, Vincent Couderc, Michael Kues, and Benjamin Wetzel "Smart Photonics: Characterization and control of modulation instability processes in nonlinear fiber optics", Proc. SPIE PC13004, Nonlinear Optics and its Applications 2024, PC1300404 (20 June 2024); https://doi.org/10.1117/12.3016696
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KEYWORDS
Modulation

Nonlinear optics

Photonics

Fiber optics

Ultrafast phenomena

Machine learning

Optical coherence

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