Deep Learning Reconstruction of Ultrashort Pulses

Tom Zahavy; Alex Dikopoltsev; Oren Cohen; Shie Mannor; Mordechai Segev

Deep Learning Reconstruction of Ultrashort Pulses

Tom Zahavy, Alex Dikopoltsev, Oren Cohen, Shie Mannor, Mordechai Segev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We propose and demonstrate, numerically and experimentally, the first deep neural network technique to reconstruct the amplitude and phase of ultrashort optical pulses. We anticipate that this approach will enable diagnostics of very weak pulses.

Original language	English
Title of host publication	2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781943580422
State	Published - 6 Aug 2018
Externally published	Yes
Event	2018 Conference on Lasers and Electro-Optics, CLEO 2018 - San Jose, United States Duration: 13 May 2018 → 18 May 2018

Publication series

Name	2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings

Conference

Conference	2018 Conference on Lasers and Electro-Optics, CLEO 2018
Country/Territory	United States
City	San Jose
Period	13/05/18 → 18/05/18

Cite this

@inproceedings{e61366132c4e402b940408d8f266bb90,

title = "Deep Learning Reconstruction of Ultrashort Pulses",

abstract = "We propose and demonstrate, numerically and experimentally, the first deep neural network technique to reconstruct the amplitude and phase of ultrashort optical pulses. We anticipate that this approach will enable diagnostics of very weak pulses.",

author = "Tom Zahavy and Alex Dikopoltsev and Oren Cohen and Shie Mannor and Mordechai Segev",

note = "Publisher Copyright: {\textcopyright} 2018 OSA.; null ; Conference date: 13-05-2018 Through 18-05-2018",

year = "2018",

month = aug,

day = "6",

language = "英语",

isbn = "9781943580422",

series = "2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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address = "United States",

}

Zahavy, T, Dikopoltsev, A, Cohen, O, Mannor, S & Segev, M 2018, Deep Learning Reconstruction of Ultrashort Pulses. in 2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings., 8427908, 2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018 Conference on Lasers and Electro-Optics, CLEO 2018, San Jose, United States, 13/05/18.

Deep Learning Reconstruction of Ultrashort Pulses. / Zahavy, Tom; Dikopoltsev, Alex; Cohen, Oren et al.

2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8427908 (2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Deep Learning Reconstruction of Ultrashort Pulses

AU - Zahavy, Tom

AU - Dikopoltsev, Alex

AU - Cohen, Oren

AU - Mannor, Shie

AU - Segev, Mordechai

PY - 2018/8/6

Y1 - 2018/8/6

N2 - We propose and demonstrate, numerically and experimentally, the first deep neural network technique to reconstruct the amplitude and phase of ultrashort optical pulses. We anticipate that this approach will enable diagnostics of very weak pulses.

AB - We propose and demonstrate, numerically and experimentally, the first deep neural network technique to reconstruct the amplitude and phase of ultrashort optical pulses. We anticipate that this approach will enable diagnostics of very weak pulses.

UR - http://www.scopus.com/inward/record.url?scp=85052569234&partnerID=8YFLogxK

M3 - 会议稿件

AN - SCOPUS:85052569234

SN - 9781943580422

T3 - 2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings

BT - 2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 13 May 2018 through 18 May 2018

ER -

Deep Learning Reconstruction of Ultrashort Pulses

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