Multiplexing methods for scaling up photonic logic

Ryan Hamerly; Saumil Bandyopadhyay; Alexander Sludds; Zaijun Chen; Liane Bernstein; Sri Krishna Vadlamani; Jasvith Basani; Ronald Davis; Dirk Englund

doi:10.1117/12.2650902

15 March 2023 Multiplexing methods for scaling up photonic logic

Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Zaijun Chen, Liane Bernstein, Sri Krishna Vadlamani, Jasvith Basani, Ronald Davis, Dirk Englund

Author Affiliations +

Proceedings Volume 12438, AI and Optical Data Sciences IV; 1243802 (2023) https://doi.org/10.1117/12.2650902
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Existing photonic matrix processers are too small to tackle relevant problems. Here, I review our group’s recent work on scaling up analog photonic platforms. This work includes iterative advances to old approaches (accurate methods to calibrate MZI meshes), experimental demonstrations of recent proposals (a VCSEL array-based coherent detection ONN and a single-shot ONN based on reconfigurable free-space optical fan-out and weighting), and entirely new architectures (WDM-powered and RF-photonic fiber circuits for edge computing). The lessons learned from studying this diverse array of approaches helps inform the future development of photonic hardware for computation.

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Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Zaijun Chen, Liane Bernstein, Sri Krishna Vadlamani, Jasvith Basani, Ronald Davis, and Dirk Englund "Multiplexing methods for scaling up photonic logic", Proc. SPIE 12438, AI and Optical Data Sciences IV, 1243802 (15 March 2023); https://doi.org/10.1117/12.2650902

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