On-chip online learning and inference for photonic pattern recognition

Bicky A. Marquez; Zhimu Guo; Hugh Morison; Sudip Shekhar; Lukas Chrostowski; Paul Prucnal; Bhavin J. Shastri

On-chip online learning and inference for photonic pattern recognition

Bicky A. Marquez
, Zhimu Guo
, Hugh Morison
, Sudip Shekhar
, Lukas Chrostowski
, Paul Prucnal
, Bhavin J. Shastri

Research output: Contribution to journal › Conference article › peer-review

Abstract

Recent investigations in neuromorphic photonics exploits photonics for neuron models. Here, we experimentally demonstrate a silicon photonic chip that can perform training and testing of a Hopfield network to reconstruct corrupted input patterns.

Original language	English (US)
Article number	SM1B.5
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	CLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States Duration: May 9 2021 → May 14 2021

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@article{305359850d704237ba67ab36c05dd04f,

title = "On-chip online learning and inference for photonic pattern recognition",

abstract = "Recent investigations in neuromorphic photonics exploits photonics for neuron models. Here, we experimentally demonstrate a silicon photonic chip that can perform training and testing of a Hopfield network to reconstruct corrupted input patterns.",

author = "Marquez, \{Bicky A.\} and Zhimu Guo and Hugh Morison and Sudip Shekhar and Lukas Chrostowski and Paul Prucnal and Shastri, \{Bhavin J.\}",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); CLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 ; Conference date: 09-05-2021 Through 14-05-2021",

year = "2021",

language = "English (US)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - On-chip online learning and inference for photonic pattern recognition

AU - Marquez, Bicky A.

AU - Guo, Zhimu

AU - Morison, Hugh

AU - Shekhar, Sudip

AU - Chrostowski, Lukas

AU - Prucnal, Paul

AU - Shastri, Bhavin J.

PY - 2021

Y1 - 2021

N2 - Recent investigations in neuromorphic photonics exploits photonics for neuron models. Here, we experimentally demonstrate a silicon photonic chip that can perform training and testing of a Hopfield network to reconstruct corrupted input patterns.

AB - Recent investigations in neuromorphic photonics exploits photonics for neuron models. Here, we experimentally demonstrate a silicon photonic chip that can perform training and testing of a Hopfield network to reconstruct corrupted input patterns.

UR - https://www.scopus.com/pages/publications/85120072027

UR - https://www.scopus.com/pages/publications/85120072027#tab=citedBy

M3 - Conference article

AN - SCOPUS:85120072027

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - SM1B.5

T2 - CLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021

Y2 - 9 May 2021 through 14 May 2021

ER -

On-chip online learning and inference for photonic pattern recognition

Abstract

All Science Journal Classification (ASJC) codes

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