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18497453. POWER-SPACE EFFICIENT PHOTONIC FOURIER CONVOLUTIONAL NEURAL NETWORK (HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP)

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POWER-SPACE EFFICIENT PHOTONIC FOURIER CONVOLUTIONAL NEURAL NETWORK

Organization Name

HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor(s)

Stanley Cheung of Milpitas CA US

Bassem Tossoun of Santa Barbara CA US

Yuan Yuan of Milpitas CA US

Yiwei Peng of Milpitas CA US

Geza Kurczveil of Santa Barbara CA US

POWER-SPACE EFFICIENT PHOTONIC FOURIER CONVOLUTIONAL NEURAL NETWORK

This abstract first appeared for US patent application 18497453 titled 'POWER-SPACE EFFICIENT PHOTONIC FOURIER CONVOLUTIONAL NEURAL NETWORK

Original Abstract Submitted

Systems and methods are provided for monolithic photonic integrated devices for implementing convolutional neural network (CNN). Examples provide for photonic devices comprising a first optical transform device configured to perform a first transform on input optical signals to output a plurality of intermediate optical signals, a plurality of optical modulation devices configured to perform a convolution on the intermediate optical signals, and second transform device configured to perform a second transform of the plurality of intermediate optical signals and output a plurality of output optical signals. Each of the modulation devices comprises an amplitude modulator and a phase modulator. The photonic device, including an optical source that generates an input optical signal, can be formed monolithically on a common substrate to provide a convolutional optical neural network (CONN) integrated onto a single chip.

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