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Integrated photonic neural network based on silicon metalines
, Article Optics Express ; Volume 28, Issue 24 , 2020 , Pages 36668-36684 ; Marzban, M. R ; Khavasi, A ; Sharif University of Technology
OSA - The Optical Society
2020
Abstract
An integrated photonic neural network is proposed based on on-chip cascaded one-dimensional (1D) metasurfaces. High-contrast transmitarray metasurfaces, termed as metalines in this paper, are defined sequentially in the silicon-on-insulator substrate with a distance much larger than the operation wavelength. Matrix-vector multiplications can be accomplished in parallel and with low energy consumption due to intrinsic parallelism and low-loss of silicon metalines. The proposed on-chip whole-passive fully-optical meta-neural-network is very compact and works at the speed of light, with very low energy consumption. Various complex functions that are performed by digital neural networks can be...