A chaotic microresonator structure for an optical implementation of an artificial neural network

Sendy Phang; Peter Bienstman; Angela Seddon; Chris Mellor; Trevor M. Benson

doi:10.1117/12.2548716

25 February 2020 A chaotic microresonator structure for an optical implementation of an artificial neural network

Sendy Phang, Peter Bienstman, Angela Seddon, Chris Mellor, Trevor M. Benson

Proceedings Volume 11283, Integrated Optics: Devices, Materials, and Technologies XXIV; 1128313 (2020) https://doi.org/10.1117/12.2548716
Event: SPIE OPTO, 2020, San Francisco, California, United States

Abstract

Tuneable all-optical signal processing has been the holy grail of information photonics; it has been pursued for many years but has proven to be very challenging. In this contribution, we present our recent work in developing an all-optical signal processing device called a photonic reservoir computer (PhRC) which can be tuned to perform a bespoke task. The PhRC is inspired by how the brain handles and process information. We demonstrate that a chaotic micro-resonator is a suitable platform for the optical implementation of such an artificial neural network.

Conference Presentation

Citation Download Citation

Sendy Phang, Peter Bienstman, Angela Seddon, Chris Mellor, and Trevor M. Benson "A chaotic microresonator structure for an optical implementation of an artificial neural network", Proc. SPIE 11283, Integrated Optics: Devices, Materials, and Technologies XXIV, 1128313 (25 February 2020); https://doi.org/10.1117/12.2548716

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available