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Dynamic optical interconnects: volume holograms as optical two-port operators.

D Z Anderson, D M Lininger

|June 5, 2010

Summary

Researchers developed a photorefractive two-port operator for neural networks. This holographic device enables image storage and feature recognition without traditional encoding methods.

Area of Science:

Optics
Holography
Photorefractive materials

Background:

Volume holographic media can function as programmable optical devices.
Photorefractive materials offer potential for implementing neural network interconnects.

Purpose of the Study:

To demonstrate a photorefractive two-port operator for neural network applications.
To explore image storage and feature recognition using holographic principles.

Main Methods:

Utilizing a real-time volume holographic medium as a two-port device.
Employing photorefractive effects to create index gratings for interconnects.
Experimentally demonstrating a projection operator in iron-doped lithium niobate.

Main Results:

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Successfully stored and recalled seven 1-D images without conventional beam encoding.
The index grating facilitates full interconnection and signal summation between processing layers.
The projection operator effectively recognizes features belonging to a defined vector space.

Conclusions:

Photorefractive two-port operators offer a novel approach for neural network implementation.
Holographic storage and recall can be achieved without complex spatial or angular encoding.
The demonstrated projection operator has applications in both feature recognition and complementary exclusion.