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@article{180627,
author = {Sanika Atul Inamdar},
title = {Recent Developments in Photonic Integration: Reservoir Computing in Photonics using Silicon Microring Nonlinearities},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {1},
pages = {1600-1609},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=180627},
abstract = {The rapid evolution of integrated photonics
is revolutionizing the landscape of high-speed, energy
efficient computing. One of the most promising
frontiers in this domain is Photonic Reservoir
Computing (PRC), a neuromorphic paradigm that
leverages the inherent dynamics and parallelism of
photonic systems. This paper provides an in-depth
exploration of reservoir computing implemented
through nonlinear effects in silicon microring
resonators (MRRs)—a scalable and CMOS-compatible
platform for optical information processing.
We examine the fundamental physical processes, such
as two-photon absorption, free carrier dispersion, and
thermal-optic phenomena, that facilitate nonlinear
transformation and short-term memory essential for
RC operations. Recent advances in photonic integration
are
surveyed,
highlighting
how
MRR-based
architectures support time-multiplexed virtual node
generation and can be effectively deployed for complex
signal processing tasks. A simulation framework in
MATLAB is presented to model the nonlinear carrier
dynamics and evaluate the RC system on a distorted
QPSK signal with chromatic dispersion and Kerr
nonlinearity. Results demonstrate accurate symbol
recovery through a simple linear readout, validating the
feasibility of silicon microrings for high-performance
PRC. We further discuss emerging applications in AI
on-Chip inference engines, fiber-optic communications,
and neuromorphic sensor fusion, and outline challenges
and opportunities in scaling and enhancing photonic
reservoir systems. This work positions silicon
microring-based PRC as a compelling solution for next
generation integrated photonic computing.},
keywords = {Photonic Reservoir Computing, Silicon Microring, Nonlinear Optics, Time-Multiplexing, Neuromorphic Computing, Integrated Photonics, QPSK Equalization},
month = {June},
}
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