Photonic neuromorphic computing

Wolfram H. P. Pernice

doi:10.1117/12.2593112

1 August 2021 Photonic neuromorphic computing

Wolfram H. P. Pernice

Proceedings Volume 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021; 1180407 (2021) https://doi.org/10.1117/12.2593112
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

Photonic integrated circuits allow for designing computing architectures which process optical signals in analogy to electronic integrated circuits. Therein electrical connections are replaced with photonic waveguides which guide light to desired locations on chip. Through near-field coupling, such waveguides enable interactions with functional materials placed very close to the waveguide surface. This way, photonic circuits which are normally passive in their response are able to display active functionality and thus provide the means to build reconfigurable systems. By integrating phase-change materials nonvolatile components can be devised which allow for implementing hardware mimics of neural tissue. Here I will present our efforts on using such a platform for developing optical non-von Neumann computing devices.

Conference Presentation

Citation Download Citation

Wolfram H. P. Pernice "Photonic neuromorphic computing", Proc. SPIE 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021, 1180407 (1 August 2021); https://doi.org/10.1117/12.2593112

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