Silicon photonic optical-electrical-optical converters based on load-resistor and current-injection operation
Masaya Arahata, Shota Kita, Akihiko Shinya, Hisashi Sumikura, Masaya Notomi

TL;DR
This paper demonstrates monolithically integrated silicon photonic OEO converters with reconfigurable nonlinear transfer functions and on-chip RF gain, advancing scalable optoelectronic computing and optical neural networks.
Contribution
First experimental demonstration of a monolithic, foundry-fabricated silicon-photonic load-resistor OEO converter with reconfigurable nonlinear transfer and RF gain.
Findings
RF OEO gain scales linearly with MRM bias power
Clear eye diagrams up to 4 Gb/s for load-resistor variant
Activation slope exceeds unity with 3.9 dB extinction-ratio regeneration
Abstract
Optical-electrical-optical (OEO) converters are key primitives for low-latency, energy-efficient photonic computing because they enable nonlinear activation and optical signal regeneration on chip. We report two monolithically integrated silicon-photonic OEO converters-load-resistor (high-speed variant) and current-injection (high-gain variant) types-fabricated at a silicon photonics foundry. Each device combines a germanium photodetector with a micro-ring modulator (MRM). The converters exhibit reconfigurable nonlinear transfer functions and measurable on-chip RF OEO gain. The RF OEO gain scales linearly with the MRM bias power, with slopes of 0.10 mW^-1 (load-resistor of 10 k{\Omega}) and 1.4 mW^-1 (current-injection), enabling a gain > 1 region at practical bias powers (~10 mW and ~1 mW, respectively). Eye diagrams confirm clear openings up to 4 Gb/s for a high-speed load-resistor…
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Taxonomy
TopicsPhotonic and Optical Devices · Optical Network Technologies · Neural Networks and Reservoir Computing
