Deep learning of ultrafast pulses with a multimode fiber

Deep learning of ultrafast pulses with a multimode fiber

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 dist...

Full description

Bibliographic Details
Main Authors: Wen Xiong, Brandon Redding, Shai Gertler, Yaron Bromberg, Hemant D. Tagare, Hui Cao
Format: Article
Language:English
Published: AIP Publishing LLC 2020-09-01
Series:APL Photonics
Online Access:http://dx.doi.org/10.1063/5.0007037
id doaj-0d197c1be6804fd1888eedfaefc5218a
record_format Article
spelling doaj-0d197c1be6804fd1888eedfaefc5218a2020-11-25T03:40:10ZengAIP Publishing LLCAPL Photonics2378-09672020-09-0159096106096106-910.1063/5.0007037Deep learning of ultrafast pulses with a multimode fiberWen Xiong0Brandon Redding1Shai Gertler2Yaron Bromberg3Hemant D. Tagare4Hui Cao5Department of Applied Physics, Yale University, New Haven, Connecticut 06520, USADepartment of Applied Physics, Yale University, New Haven, Connecticut 06520, USADepartment of Applied Physics, Yale University, New Haven, Connecticut 06520, USADepartment of Applied Physics, Yale University, New Haven, Connecticut 06520, USADepartment of Radiology and Imaging Science, Yale University, New Haven, Connecticut 06520, USADepartment of Applied Physics, Yale University, New Haven, Connecticut 06520, USACharacterizing 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.http://dx.doi.org/10.1063/5.0007037
collection DOAJ
language English
format Article
sources DOAJ
author Wen Xiong
Brandon Redding
Shai Gertler
Yaron Bromberg
Hemant D. Tagare
Hui Cao
spellingShingle Wen Xiong
Brandon Redding
Shai Gertler
Yaron Bromberg
Hemant D. Tagare
Hui Cao
Deep learning of ultrafast pulses with a multimode fiber
APL Photonics
author_facet Wen Xiong
Brandon Redding
Shai Gertler
Yaron Bromberg
Hemant D. Tagare
Hui Cao
author_sort Wen Xiong
title Deep learning of ultrafast pulses with a multimode fiber
title_short Deep learning of ultrafast pulses with a multimode fiber
title_full Deep learning of ultrafast pulses with a multimode fiber
title_fullStr Deep learning of ultrafast pulses with a multimode fiber
title_full_unstemmed Deep learning of ultrafast pulses with a multimode fiber
title_sort deep learning of ultrafast pulses with a multimode fiber
publisher AIP Publishing LLC
series APL Photonics
issn 2378-0967
publishDate 2020-09-01
description 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.
url http://dx.doi.org/10.1063/5.0007037
work_keys_str_mv AT wenxiong deeplearningofultrafastpulseswithamultimodefiber
AT brandonredding deeplearningofultrafastpulseswithamultimodefiber
AT shaigertler deeplearningofultrafastpulseswithamultimodefiber
AT yaronbromberg deeplearningofultrafastpulseswithamultimodefiber
AT hemantdtagare deeplearningofultrafastpulseswithamultimodefiber
AT huicao deeplearningofultrafastpulseswithamultimodefiber
_version_ 1724535905565278208

Similar Items