Demonstration of a silicon photonic neural network

Alexander N. Tait; Ellen Zhou; Allie X. Wu; Mitchell A. Nahmias; Thomas Ferreira De Lima; Bhavin J. Shastri; Paul R. Prucnal

doi:10.1109/PHOSST.2016.7548726

Demonstration of a silicon photonic neural network

Alexander N. Tait, Ellen Zhou, Allie X. Wu, Mitchell A. Nahmias, Thomas Ferreira De Lima, Bhavin J. Shastri, Paul R. Prucnal

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

3 Scopus citations

Abstract

Silicon photonic integration could enable high-performance brain-inspired photonic processors. We demonstrate a 3 node recurrent photonic neural network. Cusp and Hopf bifurcations induced by synaptic reconfiguration are shown as proof-of-concept. The prototype represents an early step towards network-based models of physical computing with integrated photonics.

Original language	English (US)
Title of host publication	2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	72-73
Number of pages	2
ISBN (Electronic)	9781509019007
DOIs	https://doi.org/10.1109/PHOSST.2016.7548726
State	Published - Aug 22 2016
Event	2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016 - Newport Beach, United States Duration: Jul 11 2016 → Jul 13 2016

Publication series

Name	2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016

Other

Other	2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016
Country/Territory	United States
City	Newport Beach
Period	7/11/16 → 7/13/16

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Signal Processing
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

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10.1109/PHOSST.2016.7548726

Cite this

Tait, A. N., Zhou, E., Wu, A. X., Nahmias, M. A., De Lima, T. F., Shastri, B. J., & Prucnal, P. R. (2016). Demonstration of a silicon photonic neural network. In 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016 (pp. 72-73). Article 7548726 (2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHOSST.2016.7548726

@inproceedings{af3de97bb2e24b8b8fe3227921330b60,

title = "Demonstration of a silicon photonic neural network",

abstract = "Silicon photonic integration could enable high-performance brain-inspired photonic processors. We demonstrate a 3 node recurrent photonic neural network. Cusp and Hopf bifurcations induced by synaptic reconfiguration are shown as proof-of-concept. The prototype represents an early step towards network-based models of physical computing with integrated photonics.",

author = "Tait, {Alexander N.} and Ellen Zhou and Wu, {Allie X.} and Nahmias, {Mitchell A.} and {De Lima}, {Thomas Ferreira} and Shastri, {Bhavin J.} and Prucnal, {Paul R.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016 ; Conference date: 11-07-2016 Through 13-07-2016",

year = "2016",

month = aug,

day = "22",

doi = "10.1109/PHOSST.2016.7548726",

language = "English (US)",

series = "2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016",

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

pages = "72--73",

booktitle = "2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016",

address = "United States",

}

Tait, AN, Zhou, E, Wu, AX, Nahmias, MA, De Lima, TF, Shastri, BJ & Prucnal, PR 2016, Demonstration of a silicon photonic neural network. in 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016., 7548726, 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016, Institute of Electrical and Electronics Engineers Inc., pp. 72-73, 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016, Newport Beach, United States, 7/11/16. https://doi.org/10.1109/PHOSST.2016.7548726

Demonstration of a silicon photonic neural network. / Tait, Alexander N.; Zhou, Ellen; Wu, Allie X. et al.
2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 72-73 7548726 (2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016).

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

TY - GEN

T1 - Demonstration of a silicon photonic neural network

AU - Tait, Alexander N.

AU - Zhou, Ellen

AU - Wu, Allie X.

AU - Nahmias, Mitchell A.

AU - De Lima, Thomas Ferreira

AU - Shastri, Bhavin J.

AU - Prucnal, Paul R.

PY - 2016/8/22

Y1 - 2016/8/22

N2 - Silicon photonic integration could enable high-performance brain-inspired photonic processors. We demonstrate a 3 node recurrent photonic neural network. Cusp and Hopf bifurcations induced by synaptic reconfiguration are shown as proof-of-concept. The prototype represents an early step towards network-based models of physical computing with integrated photonics.

AB - Silicon photonic integration could enable high-performance brain-inspired photonic processors. We demonstrate a 3 node recurrent photonic neural network. Cusp and Hopf bifurcations induced by synaptic reconfiguration are shown as proof-of-concept. The prototype represents an early step towards network-based models of physical computing with integrated photonics.

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M3 - Conference contribution

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T3 - 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016

SP - 72

EP - 73

BT - 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016

Y2 - 11 July 2016 through 13 July 2016

ER -

Tait AN, Zhou E, Wu AX, Nahmias MA, De Lima TF, Shastri BJ et al. Demonstration of a silicon photonic neural network. In 2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 72-73. 7548726. (2016 IEEE Photonics Society Summer Topical Meeting Series, SUM 2016). doi: 10.1109/PHOSST.2016.7548726

Demonstration of a silicon photonic neural network

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