Issue

Vol. 14 (2022)

Chip-Based High-Dimensional Optical Neural Network

https://doi.org/10.1007/s40820-022-00957-8
Xinyu Wang
School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China
Peng Xie
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK
Bohan Chen
Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK
Xingcai Zhang
School of Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

Corresponding Author: Xingcai Zhang

xingcai@mit.edu

Nano-Micro Letters, Vol. 14 (2022), Article Number: 221

Abstract

Parallel multi-thread processing in advanced intelligent processors is the core to realize high-speed and high-capacity signal processing systems. Optical neural network (ONN) has the native advantages of high parallelization, large bandwidth, and low power consumption to meet the demand of big data. Here, we demonstrate the dual-layer ONN with Mach–Zehnder interferometer (MZI) network and nonlinear layer, while the nonlinear activation function is achieved by optical-electronic signal conversion. Two frequency components from the microcomb source carrying digit datasets are simultaneously imposed and intelligently recognized through the ONN. We successfully achieve the digit classification of different frequency components by demultiplexing the output signal and testing power distribution. Efficient parallelization feasibility with wavelength division multiplexing is demonstrated in our high-dimensional ONN. This work provides a high-performance architecture for future parallel high-capacity optical analog computing.


Highlights:


1 High-dimensional optical neural network is achieved by introducing an on-chip soliton microcomb source and wavelength division multiplexing technique.
2 The programmable electro-optic nonlinear layer and optical meshes promote the implementation of a multi-layer optical neural network.
3 Ultra-low coupling loss is realized between functional chips and fiber array, which is around 1 dB per facet.

Keywords

Integrated optics Optical neural network High-dimension Mach–Zehnder interferometer Nonlinear activation function Parallel high-capacity analog computing
Wang, Xinyu, Peng Xie, Bohan Chen, and Xingcai Zhang. 2022. “Chip-Based High-Dimensional Optical Neural Network”. Nano-Micro Letters 14 (November):221. https://doi.org/10.1007/s40820-022-00957-8.
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