Integrated photonic fractional convolution accelerator

Kevin Zelaya; Mohammad-Ali Miri

doi:10.1117/12.2679133

4 October 2023 Integrated photonic fractional convolution accelerator

Kevin Zelaya, Mohammad-Ali Miri

Proceedings Volume PC12647, Active Photonic Platforms (APP) 2023; PC126470P (2023) https://doi.org/10.1117/12.2679133
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

An integrated photonic circuit architecture to perform a modified-convolution operation based on the discrete fractional Fourier transform (DFrFT) is introduced. This is accomplished by utilizing two nonuniformly-coupled waveguide lattices of different lengths that perform DFrDT operations of complementary orders. Numerical simulations show that smoothing and edge detection tasks are indeed performed even for noisy input signals. A design recipe based on the standard silicon-on-insulator fabrication technology is provided. The scaling properties of the proposed architecture are discussed. Finally, the use of the proposed photonic convolutional accelerator for chip-scale photonic AI systems is discussed.

Conference Presentation

Citation Download Citation

Kevin Zelaya and Mohammad-Ali Miri "Integrated photonic fractional convolution accelerator", Proc. SPIE PC12647, Active Photonic Platforms (APP) 2023, PC126470P (4 October 2023); https://doi.org/10.1117/12.2679133

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