Optical neuromorphic processing based on Kerr microcombs

X. Xu; M. Tan; J. Wu; A. Boes; B. Corcoran; T. Nguyen; S. T. Chu; B. E. Little; R. Morandotti; A. Mitchell; D. Hicks; D. J. Moss

Optical neuromorphic processing based on Kerr microcombs

X. Xu
, M. Tan
, J. Wu
, A. Boes
, B. Corcoran
, T. Nguyen
, S. T. Chu
, B. E. Little
, R. Morandotti
, A. Mitchell
, D. Hicks
, D. J. Moss

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

We report a new approach to ONNs based on integrated Kerr micro-combs that is programmable, highly scalable and capable of reaching ultra-high speeds. We demonstrate a single neuron perceptron at 11.9 Giga-OPS at 8 bits per OP, or 95.2 Gbps. We then demonstrate a convolutional accelerator operating beyond 11 TeraOPs/s. We test the perceptron on handwritten-digit recognition and cancer-cell detection - achieving over 90% and 85% accuracy, respectively.

源语言	英语
文章编号	AW2E.4
期刊	Optics InfoBase Conference Papers
出版状态	已出版 - 2021
已对外发布	是
活动	CLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, 美国期限: 9 5月 2021 → 14 5月 2021

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

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title = "Optical neuromorphic processing based on Kerr microcombs",

abstract = "We report a new approach to ONNs based on integrated Kerr micro-combs that is programmable, highly scalable and capable of reaching ultra-high speeds. We demonstrate a single neuron perceptron at 11.9 Giga-OPS at 8 bits per OP, or 95.2 Gbps. We then demonstrate a convolutional accelerator operating beyond 11 TeraOPs/s. We test the perceptron on handwritten-digit recognition and cancer-cell detection - achieving over 90\% and 85\% accuracy, respectively.",

author = "X. Xu and M. Tan and J. Wu and A. Boes and B. Corcoran and T. Nguyen and Chu, \{S. T.\} and Little, \{B. E.\} and R. Morandotti and A. Mitchell and D. Hicks and Moss, \{D. 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",

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journal = "Optics InfoBase Conference Papers",

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TY - JOUR

T1 - Optical neuromorphic processing based on Kerr microcombs

AU - Xu, X.

AU - Tan, M.

AU - Wu, J.

AU - Boes, A.

AU - Corcoran, B.

AU - Nguyen, T.

AU - Chu, S. T.

AU - Little, B. E.

AU - Morandotti, R.

AU - Mitchell, A.

AU - Hicks, D.

AU - Moss, D. J.

PY - 2021

Y1 - 2021

N2 - We report a new approach to ONNs based on integrated Kerr micro-combs that is programmable, highly scalable and capable of reaching ultra-high speeds. We demonstrate a single neuron perceptron at 11.9 Giga-OPS at 8 bits per OP, or 95.2 Gbps. We then demonstrate a convolutional accelerator operating beyond 11 TeraOPs/s. We test the perceptron on handwritten-digit recognition and cancer-cell detection - achieving over 90% and 85% accuracy, respectively.

AB - We report a new approach to ONNs based on integrated Kerr micro-combs that is programmable, highly scalable and capable of reaching ultra-high speeds. We demonstrate a single neuron perceptron at 11.9 Giga-OPS at 8 bits per OP, or 95.2 Gbps. We then demonstrate a convolutional accelerator operating beyond 11 TeraOPs/s. We test the perceptron on handwritten-digit recognition and cancer-cell detection - achieving over 90% and 85% accuracy, respectively.

UR - https://www.scopus.com/pages/publications/85214078358

M3 - 会议文章

AN - SCOPUS:85214078358

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - AW2E.4

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 -

Optical neuromorphic processing based on Kerr microcombs

摘要

联合国可持续发展目标

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