All-optical information processing capacity of diffractive networks

Onur Kulce; Deniz Mengu; Yair Rivenson; Aydogan Ozcan

doi:10.1117/12.2594401

1 August 2021 All-optical information processing capacity of diffractive networks

Onur Kulce, Deniz Mengu, Yair Rivenson, Aydogan Ozcan

Proceedings Volume 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021; 1180409 (2021) https://doi.org/10.1117/12.2594401
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

We analyze the information processing capacity of diffractive optical networks to reveal that increasing the total number of diffractive features, i.e., neurons, within a network linearly increases the dimensionality of the complex-valued linear transformation space of the network, up to a limit dictated by the input and output fields-of-view. We further show that deeper diffractive neural networks formed by larger numbers of diffractive surfaces can cover a higher-dimensional subspace of the complex-valued linear transformations between a larger input field-of-view and a larger output field-of-view, increasing the learning capability and approximation power of the optical network.

Conference Presentation

Citation Download Citation

Onur Kulce, Deniz Mengu, Yair Rivenson, and Aydogan Ozcan "All-optical information processing capacity of diffractive networks", Proc. SPIE 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021, 1180409 (1 August 2021); https://doi.org/10.1117/12.2594401

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