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Title: Analog optical computing primitives in silicon photonics

Abstract

Optical computing accelerators help alleviate bandwidth and power consumption bottlenecks in electronics. In this paper, we show an approach to implementing logarithmic-type analog co-processors in silicon photonics and use it to perform the exponentiation operation and the recovery of a signal in the presence of multiplicative distortion. Finally, the function is realized by exploiting nonlinear-absorption-enhanced Raman amplification saturation in a silicon waveguide.

Authors:
 [1];  [2];  [1]
  1. Univ. of California, Los Angeles, CA (United States). Electrical Engineering Dept.
  2. Univ. of California, Los Angeles, CA (United States). Electrical Engineering Dept.; Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Univ. of California, Los Angeles, CA (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE; Office of Naval Research (ONR) (United States); USDOD
OSTI Identifier:
1258515
Alternate Identifier(s):
OSTI ID: 1241438
Report Number(s):
LLNL-JRNL-679665
Journal ID: ISSN 0146-9592
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Optics Letters
Additional Journal Information:
Journal Volume: 41; Journal Issue: 6; Journal ID: ISSN 0146-9592
Publisher:
Optical Society of America (OSA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 42 ENGINEERING; analog optical signal processing; optics in computing; neural networks; nonlinear optics; integrated optics

Citation Formats

Jiang, Yunshan, DeVore, Peter T. S., and Jalali, Bahram. Analog optical computing primitives in silicon photonics. United States: N. p., 2016. Web. doi:10.1364/OL.41.001273.
Jiang, Yunshan, DeVore, Peter T. S., & Jalali, Bahram. Analog optical computing primitives in silicon photonics. United States. https://doi.org/10.1364/OL.41.001273
Jiang, Yunshan, DeVore, Peter T. S., and Jalali, Bahram. 2016. "Analog optical computing primitives in silicon photonics". United States. https://doi.org/10.1364/OL.41.001273. https://www.osti.gov/servlets/purl/1258515.
@article{osti_1258515,
title = {Analog optical computing primitives in silicon photonics},
author = {Jiang, Yunshan and DeVore, Peter T. S. and Jalali, Bahram},
abstractNote = {Optical computing accelerators help alleviate bandwidth and power consumption bottlenecks in electronics. In this paper, we show an approach to implementing logarithmic-type analog co-processors in silicon photonics and use it to perform the exponentiation operation and the recovery of a signal in the presence of multiplicative distortion. Finally, the function is realized by exploiting nonlinear-absorption-enhanced Raman amplification saturation in a silicon waveguide.},
doi = {10.1364/OL.41.001273},
url = {https://www.osti.gov/biblio/1258515}, journal = {Optics Letters},
issn = {0146-9592},
number = 6,
volume = 41,
place = {United States},
year = {Tue Mar 15 00:00:00 EDT 2016},
month = {Tue Mar 15 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
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Cited by: 16 works
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Works referenced in this record:

Silicon Photonics
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Optical Data Compression in Time Stretch Imaging
journal, April 2015


Raman amplification of optical pulses in silicon waveguides: effects of finite gain bandwidth, pulse width, and chirp
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Analog optical computing
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Influence of nonlinear absorption on Raman amplification in Silicon waveguides
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Design of Warped Stretch Transform
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Optical logarithmic filtering using inherent film nonlinearity
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The role of optics in computing
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Tailoring Wideband Signals With a Photonic Hardware Accelerator
journal, July 2015


Pattern classification using optical Mellin transform and circular photodiode array
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Why future supercomputing requires optics
journal, May 2010


Electrooptical effects in silicon
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Demonstration of a silicon Raman laser
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Observation of stimulated Raman amplification in silicon waveguides
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