ALL-OPTICAL DIFFRACTIVE NEURAL NETWORK AND SYSTEM IMPLEMENTED ON OPTICAL WAVEGUIDE AND/OR OPTICAL CHIP

WIPO Patent Application WO/2021/227767

A1

In order to solve the technical problems that the computation rate and loss of a photoelectric hybrid system are still limited by the rate and ohmic loss of an electric clock, the existing all-optical neural network system which is implemented by using discrete optical elements has high cost, large size and limited expansibility, and an error is amplified during cascading, the present invention provides an all-optical diffractive neural network and system implemented on an optical waveguide and/or an optical chip. In the present invention, an all-optical connection is realized by means of a diffraction free propagation region on the optical waveguide and/or the chip, and the connection between more waveguide neurons can be realized with the same size, thereby effectively solving the problems of a small number of neurons connected and poor system expansion; in addition, an error-tolerant rate is better as more neurons are connected, and therefore the present invention has a high recognition accuracy.

ZHAO WEI (CN)
CHENG DONG (CN)
DU BINGZHENG (CN)
LITTLE BRENT EVERETT (CN)
XIE XIAOPING (CN)
DAVIDSON ROY RICHARD (CN)
WANG XIANG (CN)
LI WEIHENG (CN)
YAO HONGPENG (CN)
FAN XIUHONG (CN)

PCT/CN2021/087526

November 18, 2021

April 15, 2021

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XIAN INSTITUTE OF OPTICS AND PREC MECHANICS CHINESE ACADEMY OF SCIENCES (CN)
QXP TECH INC (CN)

H04Q11/00; G02B6/12; G02B6/26

CN111683304A	2020-09-18
CN110929864A	2020-03-27
CN109784486A	2019-05-21

XI'AN ZHIBANG PATENT&TRADEMARK AGENT CO., LTD. (CN)

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