Optimization of 3x3 neuromorphic photonic network for programmable Boolean operations

Andrea Marchisio; Ali Cem; Yunhong Ding; Vittorio Curri; Andrea Carena; Francesco Da Ros; Paolo Bardella

doi:10.1117/12.3002953

11 March 2024 Optimization of 3x3 neuromorphic photonic network for programmable Boolean operations

Andrea Marchisio, Ali Cem, Yunhong Ding, Vittorio Curri, Andrea Carena, Francesco Da Ros, Paolo Bardella

Proceedings Volume 12880, Physics and Simulation of Optoelectronic Devices XXXII; 128800G (2024) https://doi.org/10.1117/12.3002953
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

We propose a methodology to analyze a 3×3 Mach-Zenhder-based neuromorphic optical network used as a programmable logic gate. The investigated approach starts from the electromagnetic simulation of the integrated optical elements, then moves to the description of the thermal heaters including thermal cross-talk, and finally addresses the definition of the logical levels.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Andrea Marchisio, Ali Cem, Yunhong Ding, Vittorio Curri, Andrea Carena, Francesco Da Ros, and Paolo Bardella "Optimization of 3x3 neuromorphic photonic network for programmable Boolean operations", Proc. SPIE 12880, Physics and Simulation of Optoelectronic Devices XXXII, 128800G (11 March 2024); https://doi.org/10.1117/12.3002953

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