Nonlinear Photonics
Within this line of research, we explore complex phenomena in photonics,filling the gap between Modern Photonic Sources and Functional Complex Systems. Our Nonlinear Photonics Lab, working alongside a strong theoretical team, aims to gain an in-depth understanding of complex phenomena and to provide novel solutions from communication to information processing, transferring knowledge to the Information and Communication Technologies (ICT) domain.
We study nonlinear and spatio-temporal emission properties of semiconductor lasers, implement optical complex networks based on lasers, advance characterization techniques, and demonstrate the utility of optical complexity for information technologies including encryption and ultra-fast neuro-inspired photonic information processing.
Researchers
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Apostolos Argyris
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Pere Colet
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Miguel C. Soriano
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Ingo Fischer
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Damià Gomila
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Claudio Mirasso
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Roberta Zambrini
Recent and ongoing Research projects
POST-DIGITAL
POST-DIGITAL: Neuromorphic computing in photonic and other nonlinear media
P.I.: Ingo Fischer, Claudio Mirasso
POST-DIGITAL is a Marie Skłodowska-Curie Innovative Training Network, funded by the European Union’s Horizon 2020 research and innovation programme. POST-DIGITAL is committed to form a new generation of engineers and researchers, affording ...
ADOPD
Adaptive Optical Dendrites
P.I.: Ingo Fischer, Claudio Mirasso
The increased demand for computation with low energy consumption requires entirely novel hardware concepts. In ADOPD we develop ultra-fast computational units based on optical-fiber technologies exploiting information processing principles used by neurons ...
POSTDIGITALPlus
European Training Network on Post-Digital Computing +
P.I.: Miguel C. Soriano, Claudio Mirasso
The modern information and communication technology (ICT) world is ruled by an exploding generation of data due to growth of Internet applications and skyrocketing proliferation of a number of interconnected on-line broadband ...
QuaResC
Quantum machine learning using reservoir computing
P.I.: Miguel C. Soriano, Roberta Zambrini
The QuaResC project engages in a new collaboration UIB and CSIC researchers at IFISC with the objective to address an interdisciplinary topic between artificial intelligence and quantum physics: quantum machine learning using ...
MdM-IFISC-2
Maria de Maeztu 2023-2026
P.I.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...
INFOLANET
Information processing with coupled laser networks
P.I.: Apostolos Argyris, Miguel C. Soriano
In the INFOLANET project, we will combine the expertise of the PIs on dynamical systems and machine learning to advance information processing concepts, based on a high-speed photonic implementation. We anticipate that ...
Recent Publications
Optical phase encoding in a pulsed approach to reservoir computing
Henaff, Johan; Ansquer, Matthieu; Soriano, Miguel C.; Zambrini, Roberta; Treps, Nicolas; Parigi, ValentinaOptics Letters 49, 2097-2100 (2024)
Time delay reservoir computing with a silicon microring resonator and a fiber-based optical feedback loop
Donati, Giovanni; Argyris, Apostolos; Mancinelli, Mattia; Mirasso, Claudio R.; Pavesi, LorenzoOptics Express 32 (8), 13419-13437 (2024)
Experimental multi-bit header classification at 28.5 Gb/s with step-index few-mode fibers
Pflüger, Moritz; Ortín, Silvia; Leininger, Lars; Mirasso, Claudio R.; Argyris, ApostolosSubmitted (2024)
Squeezing as a resource for time series processing in quantum reservoir computing
García-Beni, Jorge; Giorgi, Gianluca; Soriano, Miguel C.; Zambrini, RobertaOptics Express 32, 6733-6747 (2024)
Complex Optical Networks based on Vertical-Cavity Surface-Emitting Lasers (VCSELs)
Pflüger, MoritzPhD Thesis (2023)
Related News
IFISC (UIB-CSIC) research on Quantum Reservoir Computing is highlighted by the editorial staff of Optics Express
Feb. 27, 2024
An IFISC study,
published in Optics Express and featured as an Editor's Pick, reveals the
potential of quantum squeezing in the machine learning architecture known as
Reservoir Computing.
A recent article published by IFISC researchers in Optics
Express, entitled ...
Boosting the output power of lasers by breaking their symmetry
Nov. 11, 2021
More uniform light intensity profiles are possible in
large-aperture semiconductor lasers if the optical aperture is intentionally
deformed. An international team from Łodz University of Technology, Institute
of Microelectronics and Photonics in Warsaw, Technical University of Berlin,
and IFISC (UIB-CSIC ...
Deep Neural Networks using a single neuron
Sept. 14, 2021
Deep Neural Networks (DNNs) are a useful
tool for a wide range of tasks such as image classification, object detection,
image resizing or text generation. They are extremely powerful, but they
require sufficient computing power and large data sets to ...