Deep learning of ultrafast pulses with a multimode fiber
Abstract
Characterizing ultrashort optical pulses has always been a critical but difficult task, which has a broad range of applications. We propose and demonstrate a self-referenced method of characterizing ultrafast pulses with a multimode fiber. The linear and nonlinear speckle patterns formed at the distal end of a multimode fiber are used to recover the spectral amplitude and phase of an unknown pulse. We deploy a deep learning algorithm for phase recovery. The diversity of spatial and spectral modes in a multimode fiber removes any ambiguity in the sign of the recovered spectral phase. Our technique allows for single-shot pulse characterization in a simple experimental setup. This work reveals the potential of multimode fibers as a versatile and multi-functional platform for optical sensing.
Keywords
Cite
@article{arxiv.1911.00649,
title = {Deep learning of ultrafast pulses with a multimode fiber},
author = {Wen Xiong and Brandon Redding and Shai Gertler and Yaron Bromberg and Hemant Tagare and Hui Cao},
journal= {arXiv preprint arXiv:1911.00649},
year = {2019}
}