The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 12, 2026
Filed:
Mar. 04, 2023
Zhejiang Lab, Hangzhou, CN;
ZHEJIANG LAB, Hangzhou, CN;
Abstract
The present invention discloses a two-dimensional photonic convolutional acceleration system and device for convolutional neural network, comprising: a multi-wavelength light source, a signal source to be convolved, a modulator, a dispersion module, a 1×M power divider, an optical fiber delay array, a microring weighting array chip, a convolutional kernel matrix control unit, a trans-impedance amplifier array, and an acquisition and processing unit. The present invention realizes two-dimensional convolutional acceleration based on wavelength-time interleaving technology, a single modulator can realize the optical domain loading of the signal, and the convolutional operation speed is only limited to the speed of the modulator. The present invention can realize two-dimensional convolutional kernel convolutional acceleration of two-dimensional data in a single signal cycle based on two-level delay and microring weighting array chip, and solve the problem of data redundancy in traditional methods, the scheme is simple and efficient. The present invention realizes the control of convolutional kernel matrix coefficient based on the microring weighting array chip, can realize the fast update of convolutional kernel matrix coefficient, and is suitable for real-time data processing applications, the balanced photodetector can realize arbitrary convolutional kernel coefficient weighting.