Resolution Limits in Optical Microring Modulators for Applications in Neuromorphic Photonics

Neuromorphic photonic devices are promising for overcoming limitations in AI processing faced by traditional computing architectures. An analytical technique for determining the resolution limits introduced by photonic link distortions and noise is applied to microring modulators, with optimal resolution exhibited by a critically coupled ring.

Authors

Institutions

Publication Details

Published
2024-11-10
DOI
https://doi.org/10.1109/ipc60965.2024.10799676
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Resolution Limits in Optical Microring Modulators for Applications in Neuromorphic Photonics

Nicola Andriolli, G. Contestabile, P. S. Kincaid, Lorenzo De Marinis
Neural Networks and Reservoir Computing
article

Resolution Limits in Optical Microring Modulators for Applications in Neuromorphic Photonics

Nicola Andriolli, G. Contestabile, P. S. Kincaid, Lorenzo De Marinis
article en

Abstract

Neuromorphic photonic devices are promising for overcoming limitations in AI processing faced by traditional computing architectures. An analytical technique for determining the resolution limits introduced by photonic link distortions and noise is applied to microring modulators, with optimal resolution exhibited by a critically coupled ring.

University of Pisa (IT), Scuola Superiore Sant'Anna (IT)
Ministry of Foreign Affairs
Affordable and clean energy
Openalex Percentile: Top 78%
Neural Networks and Reservoir Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.