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

  • Apostolos Argyris

    Apostolos Argyris

  • Pere Colet

    Pere Colet

  • Miguel C. Soriano

    Miguel C. Soriano

  • Ingo Fischer

    Ingo Fischer

  • Damià Gomila

    Damià Gomila

  • Claudio Mirasso

    Claudio Mirasso

  • Roberta Zambrini

    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 ...

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 ...

AIHUB

AIHUB

P.I.: Jose Javier Ramasco
HUB CSIC for fomenting the research and services on Artificial Intelligence.

Recent Publications

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, Lorenzo
Optics 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, Apostolos
Submitted (2024)

Squeezing as a resource for time series processing in quantum reservoir computing

García-Beni, Jorge; Giorgi, Gianluca; Soriano, Miguel C.; Zambrini, Roberta
Optics Express 32, 6733-6747 (2024)

Non-Hermitian control of localization in mosaic photonic lattices

Longhi; Stefano
Applied Physics Letters 123, 161102 (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 ...

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