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Related Experiment Video

Updated: Nov 19, 2025

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

All-optical information-processing capacity of diffractive surfaces.

Onur Kulce^1,2,3, Deniz Mengu^1,2,3, Yair Rivenson^1,2,3

¹Electrical and Computer Engineering Department, University of California, Los Angeles, CA, 90095, USA.

Light, Science & Applications

|January 29, 2021

Summary

This summary is machine-generated.

Deeper diffractive networks with more trainable surfaces enhance optical computing capabilities. These networks offer advantages in machine learning and image classification tasks compared to single surfaces.

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Area of Science:

Optics and Photonics
Materials Science
Computational Science

Background:

Recent advances in materials and surface engineering are enabling new functionalities.
Trainable surfaces can perform computations and machine learning via light-matter interactions.

Purpose of the Study:

To analyze the information-processing capacity of coherent optical networks using diffractive surfaces.
To investigate how network depth impacts computational and machine learning tasks.

Main Methods:

Analysis of complex-valued transformations in coherent optical networks.
Comparison of diffractive networks with varying numbers of trainable surfaces.

Main Results:

The dimensionality of the all-optical solution space scales linearly with the number of diffractive surfaces.
Deeper networks cover higher-dimensional subspaces for complex transformations.
Diffractive networks show advantages in statistical inference, learning, and generalization for image classification.

Conclusions:

The number of diffractive surfaces dictates the information-processing capacity of optical networks.
Deeper diffractive networks offer superior performance for complex computational and machine learning tasks.
Findings are applicable to metasurfaces, flat optics, and all-optical processors.