Miguel C. Soriano
- IFISC (CSIC-UIB)
- Campus Universitat de les Illes Balears E-07122 Palma de Mallorca. Spain
- Office 104 B
- +34 971 17 13 14
- miguel@ifisc.uib-csic.es
- Web page: http://ifisc.uib-csic.es/miguel/
Profile
Miguel C. Soriano (Miguel Cornelles Soriano) holds an associate professor (tenured) at the University of the Balearic Islands and 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.
Recent Publications
Time-Series Quantum Reservoir Computing with Weak and Projective Measurements
Mujal, Pere; Martínez-Peña, Rodrigo; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Robertanpj Quantum Information 9, 16 (2023)
Dissipation as a resource for Quantum Reservoir Computing
Antonio Sannia, Rodrigo Martínez-Peña, Miguel C. Soriano, Gian Luca Giorgi, Roberta ZambriniSubmitted (2023)
Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatiotemporal systems using scalable neural networks
Goldmann, Mirko; Mirasso, Claudio R.; Fischer, Ingo; Soriano, Miguel C.Physical Review E 106, 044211 (2022)
High-Performance Reservoir Computing With Fluctuations in Linear Networks
Nokkala, Johannes; Martínez-Peña, Rodrigo; Zambrini, Roberta; Soriano, Miguel C.IEEE Transactions on Neural Networks and Learning Systems 33, 2664-2675 (2022)
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation
Vettelschoss, Benedikt; Röhm, André; Soriano, Miguel C.IEEE Transactions on Neural Networks and Learning Systems 33, 2714-2725 (2022)
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 ...
QUAREC
Machine learning with quantum reservoir computing
P.I.: Roberta Zambrini
Project funded by the government of the Balearic Islands with the goal of extending Reservoir Computing into the quantum domain. The project is mainly theoretical/numerical, but also deals with the identification of ...
