Affiliation:
1. Center for Nanotechnology (CeNTech)
2. University of Münster
Abstract
In the realm of advanced computing and signal processing, the need for
optimized data processing methodologies is steadily increasing. With
the world producing vast quantities of data, computing architectures
necessitate to be swifter and more energy efficient. Edge computing
architectures such as the NetCast architecture [1] combine the
strength of electronic and photonic computing by outsourcing
multiply-accumulate operations (MAC) to the optical domain. Herein we
demonstrate a hybrid architecture, combining the advantages of FPGA
data processing facilitating an ultra-low power electro-optical
“smart transceiver” comprised of a lithium-niobate on
insulator photonic circuit. The as-demonstrated device combines
potential GHz speed data processing, with a power consumption in the
order of 6.63 fJ per bit. Our device provides a blueprint of a unit
cell for a TFLN smart transceiver alongside a variety of optical
computing architectures, such as optical neural networks, as it
provides a low power, reconfigurable memory unit.
Funder
Horizon 2020 Framework
Programme
Deutsche
Forschungsgemeinschaft
Bundesministerium für Bildung und
Forschung
Subject
Electronic, Optical and Magnetic Materials
Cited by
1 articles.
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