Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Deep nonlinear optical neural networks using physics-aware training

Not Accessible

Your library or personal account may give you access

Abstract

We experimentally demonstrate deep nonlinear optical neural networks using a universal algorithm for backpropagating through arbitrary physical input-output transformations. Ultrafast second harmonic generation and other diverse processes are trained to perform image and audio classification.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Deep nonlinear optical neural networks trained with in situ backpropagation

Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, and Peter L. McMahon
NTh1A.6 Nonlinear Optics (NLO) 2021

Deep Physical Neural Networks based on Ultrafast Nonlinear Optics

Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, and Peter L. McMahon
NpM3G.4 Nonlinear Photonics (NP) 2022

Opportunities and challenges for deep physical neural networks based on nonlinear optical pulse propagation

Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, and Peter L. McMahon
SF4F.1 CLEO: Science and Innovations (CLEO:S&I) 2022

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Deep nonlinear optical neural networks trained with in situ backpropagation

Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, and Peter L. McMahon
NTh1A.6 Nonlinear Optics (NLO) 2021

Deep Physical Neural Networks based on Ultrafast Nonlinear Optics

Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, and Peter L. McMahon
NpM3G.4 Nonlinear Photonics (NP) 2022

Opportunities and challenges for deep physical neural networks based on nonlinear optical pulse propagation

Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein, Tianyu Wang, Darren T. Schachter, Zoey Hu, and Peter L. McMahon
SF4F.1 CLEO: Science and Innovations (CLEO:S&I) 2022

Linear and Nonlinear Physical Effects in Optical Fiber Revealed from the Perspective of Deep Neural Networks

Xiaotian Jiang, Danshi Wang, and Min Zhang
T4A.81 Asia Communications and Photonics Conference (ACP) 2021

Single-Pixel Image Classification via Nonlinear Optics and Deep Neural Network

Santosh Kumar, Ting Bu, He Zhang, Irwin Huang, and Yu-Ping Huang
AW3E.3 CLEO: QELS_Fundamental Science (CLEO:FS) 2021

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.