Challenges and opportunities for optical neural network (Conference Presentation)

Arka Majumdar

doi:10.1117/12.2553030

24 March 2020 Challenges and opportunities for optical neural network (Conference Presentation)

Arka Majumdar

Proceedings Volume 11329, Advanced Etch Technology for Nanopatterning IX; 113290P (2020) https://doi.org/10.1117/12.2553030
Event: SPIE Advanced Lithography, 2020, San Jose, California, United States

Abstract

The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces, present a compelling alternative to electronic implementations of convolutional neural networks. The lack of a low-power optical nonlinearity, however, requires slow and energy-inefficient conversions between the electronic and optical domains. Here, we design an architecture that utilizes a single electrical to optical conversion by designing a free-space optical frontend unit that implements the linear operations of the first layer with the subsequent layers realized electronically. Speed and power analysis of the architecture indicates that the hybrid photonic–electronic architecture outperforms a fully electronic architecture for large image sizes and kernels. We also explore the ways the nonlinearity can be implemented in optical domain, and analyze the performance of a degenerate cavity for nonlinear image processing.

Conference Presentation

Citation Download Citation

Arka Majumdar "Challenges and opportunities for optical neural network (Conference Presentation)", Proc. SPIE 11329, Advanced Etch Technology for Nanopatterning IX, 113290P (24 March 2020); https://doi.org/10.1117/12.2553030

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