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Photonic neuromorphic computing

88 Citations2021
W. Pernice
Emerging Topics in Artificial Intelligence (ETAI) 2021

The efforts on using a near-field coupling platform for developing optical non-von Neumann computing devices and integrating phase-change materials nonvolatile components can be devised which allow for implementing hardware mimics of neural tissue.

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.

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