Nonlinear sculpturing of optical pulses with normally dispersive fiber-based devices


We present a general method to determine the parameters of nonlinear pulse shaping systems based on pulse propagation in a normally dispersive fiber that are required to achieve the generation of pulses with various specified temporal properties. The nonlinear shaping process is reduced to a numerical optimization problem over a three-dimensional space, where the intersections of different surfaces provide the means to quickly identify the sets of parameters of interest. We also show that the implementation of a machine-learning strategy can efficiently address the multi-parameter optimization problem being studied.

Publication DOI:
Divisions: Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
Engineering & Applied Sciences > Aston Institute of Photonics Technology
Uncontrolled Keywords: Nonlinear shaping, Machine learning, Nonlinear fiber optics
Full Text Link: https://hal.arc ... 821853/document
Related URLs: https://www.sci ... 2116?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2018-11
Published Online Date: 2018-08-23
Accepted Date: 2018-08-13
Authors: Finot, Christophe
Gukov, Ilya
Hammani, Kamal
Boscolo, Sonia ( 0000-0001-5388-2893)

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