Miguel C. Soriano

Miguel Cornelles Soriano

Miguel C. Soriano (Miguel Cornelles Soriano) is a tenured scientist at the Spanish National Research Council (CSIC) and a staff researcher at IFISC. His research line covers the topics of information processing based on reservoir computing and nonlinear dynamics. His main research interests also include the experimental and numerical study of semiconductor lasers subject to delayed-coupling and the synchronization of chaotic oscillators.

Publicacions recents

Optical phase encoding in a pulsed approach to reservoir computing

Henaff, Johan; Ansquer, Matthieu; Soriano, Miguel C.; Zambrini, Roberta; Treps, Nicolas; Parigi, Valentina
Optics Letters 49, 2097-2100 (2024)

Quantum fidelity kernel with a trapped-ion simulation platform

Martínez-Peña, Rodrigo; Soriano, Miguel C.; Zambrini, Roberta
Physical Review A 109, 042612 (2024)

Dissipation as a resource for Quantum Reservoir Computing

Sannia, Antonio; Martínez-Peña, Rodrigo; Soriano, Miguel C.; Giorgi, Gian Luca; Zambrini, Roberta
Quantum 8, 1291 (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)

Quantifying the diversity of multiple time series with an ordinal symbolic approach

Zunino, Luciano; Soriano, Miguel C.
Physical Review E 108, 065302 (2023)

Projectes de recerca recents i vigents


European Training Network on Post-Digital Computing +

I.P.: 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 ...


Maria de Maeztu 2023-2026

I.P.: 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 ...


Information processing with coupled laser networks

I.P.: 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 ...



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

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