All-optical Reservoir Computing

By François Duport, B. Schneider, Anteo Smerieri, Marc Haelterman, Serge Massar. Optics Express, 2012

397 citations recorded by the source corpus.

Reservoir Computing is a novel computing paradigm that uses a nonlinear recurrent dynamical system to carry out information processing. Recent electronic and optoelectronic Reservoir Computers based on an architecture with a single nonlinear node and a delay loop have shown performance on standardized tasks comparable to state-of-the-art digital implementations. Here we report an all-optical implementation of a Reservoir Computer, made of off-the-shelf components for optical telecommunications. It uses the saturation of a semiconductor optical amplifier as nonlinearity. The present work shows that, within the Reservoir Computing paradigm, all-optical computing with state-of-the-art performance is possible.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3558ac07bddb52872f0359e340f06e6858084b58

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In Electrical and Electronic Engineering

Citations in the corpus

Emerging opportunities and challenges for the future of reservoir computing (2024, neutral): “…time series 16,86,89,95 , Ikeda system 95 , auto-regressive moving average (NARMA) sequence 16,28,29,93,94,98 , Hénon map 16,35,95,98 , radar signal 68 , language sentence 36 , stocks data 61 , sea surface temperatures (SST) 99 , traf ﬁ c breakdown 100 – 102 , tool wear detection 97 and wind power…”
High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification (2017, background): “[4] for a review), has recently attracted much attention through an unexpected physical implementation of the hardware [5 – 8].”
Parallel photonic information processing at gigabyte per second data rates using transient states (2013, background): “Theoretical 8,9 and experimental 7,10–12 investigations show that our scheme can indeed be interpreted as RC.”
Complex photonics: Dynamics and applications of delay-coupled semiconductors lasers (2013, methodology): “The first successful extensions of this paradigm to all-optical information processing applications using semiconductor lasers or semiconductor optical amplifiers with delayed feedback have been reported (Duport et al., 2012; Brunner, Soriano et al., 2013).”
100,000-spin coherent Ising machine (2021, neutral): “…computing paradigm of “let physics do computation,” they include quantum computers ( 2 ), quantum annealers ( 3 ), neural networks ( 4 ), and reservoir computers ( 5 ), implemented with various physical systems such as superconducting qubits ( 6 , 7 ), trapped ions ( 8 ), and photonics ( 9 – 12 ).”
Experimental photonic quantum memristor (2021, background): “[46] François Duport, Bendix Schneider, Anteo Smerieri, Marc Haelterman, and Serge Massar, “All-optical reservoir computing,” Optics express 20, 22783–22795 (2012).”