Cascadable all-optical NAND gates using diffractive networks

11/02/2021
by   Yi Luo, et al.
0

Owing to its potential advantages such as scalability, low latency and power efficiency, optical computing has seen rapid advances over the last decades. A core unit of a potential all-optical processor would be the NAND gate, which can be cascaded to perform an arbitrary logical operation. Here, we present the design and analysis of cascadable all-optical NAND gates using diffractive neural networks. We encoded the logical values at the input and output planes of a diffractive NAND gate using the relative optical power of two spatially-separated apertures. Based on this architecture, we numerically optimized the design of a diffractive neural network composed of 4 passive layers to all-optically perform NAND operation using the diffraction of light, and cascaded these diffractive NAND gates to perform complex logical functions by successively feeding the output of one diffractive NAND gate into another. We demonstrated the cascadability of our diffractive NAND gates by using identical diffractive designs to all-optically perform AND and OR operations, as well as a half-adder. Cascadable all-optical NAND gates composed of spatially-engineered passive diffractive layers can serve as a core component of various optical computing platforms.

READ FULL TEXT

page 20

page 21

page 22

page 23

page 24

research
05/13/2010

Towards Physarum Binary Adders

Plasmodium of Physarum polycephalum is a single cell visible by unaided ...
research
03/01/2017

Bayesian Gates for Reliable Logical Operations under Noisy Condition

The reliability of logical operations is indispensable for the reliable ...
research
06/21/2022

Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks

Permutation matrices form an important computational building block freq...
research
09/15/2020

Ensemble learning of diffractive optical networks

A plethora of research advances have emerged in the fields of optics and...
research
08/29/2023

Pyramid diffractive optical networks for unidirectional magnification and demagnification

Diffractive deep neural networks (D2NNs) are composed of successive tran...
research
03/14/2020

Compatible Learning for Deep Photonic Neural Network

Realization of deep learning with coherent optical field has attracted r...

Please sign up or login with your details

Forgot password? Click here to reset