2. Publicacions

Publicacions

Quantum machine learning via continuous-variable cluster states and teleportation

García-Beni, Jorge; Paparelle, Iris; Parigi, Valentina; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
EPJ Quantum Technology 12, 63 (2025)

Neural networks with quantum states of light

Labay-Mora, Adrià; García-Beni, Jorge; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Philosophical Transactions of the Royal Society A 382, 20230346 (1-24) (2024)

Identifying Ordinal Similarities at Different Temporal Scales

Zunino, Luciano; Porte, Xavier; Soriano, Miguel C.
Entropy 26, 1016 (2024)

Role of coherence in many-body Quantum Reservoir Computing

Palacios, A; Martínez-Peña, R.; Soriano, M. C.; Giorgi, G. L.; Zambrini, R.
Communications Physics 7, 369 (2024)

Adaptive control of recurrent neural networks using conceptors

Pourcel, Guillaume; Goldmann, Mirko; Fischer, Ingo; Soriano, Miguel C.
Chaos 34, 103127 (2024)

Computing with Dynamical Systems: from implementations towards novel concepts

Goldmann, Mirko (Supervisors: Fischer, Ingo; Mirasso, Claudio R.; Soriano, Miguel C.)
PhD Thesis (2024)

A photonics perspective on computing with physical substrates

Abreu; Boikov; Goldmann, M.; Jonuzi; Lupo; Masaad; Nguyen; Picco; Pourcel; Skalli; Talandier, L.; Vettelschoss; Vlieg; Argyris, A.; Bienstman; Brunner; Dambre; Daudet; Domenech; Fischer, I.; Horst; Massar; Mirasso, C.R.; Offrein; Rossi; Soriano, M. C.; Sygletos; Turitsyn
Reviews in Physics 12, 100093 (2024)

Dynamical stability and chaos in artificial neural network trajectories along training

Danovski, Kaloyan; Soriano, Miguel C.; Lacasa, Lucas
Frontiers in Complex Systems 2, 1367957 (2024)

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)

Artificial neural networks through the lens of dynamical systems theory

Danovski, Kaloyan (Supervisors: Lucas Lacasa, Miguel C. Soriano)
Master Thesis (2023)

Time and wavelength multiplexing in photonic neural networks

Jiménez González, Pedro (advisors: Miguel C. Soriano, Claudio R. Mirasso)
Master Thesis (2023)

Exploiting oscillatory dynamics of delay systems for reservoir computing

Goldmann, Mirko; Fischer, Ingo ; Mirasso, Claudio R.; Soriano, Miguel C.
Chaos 33, 093139 (2023)

Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems

Martínez-Peña, R.; Nokkala, J.; Giorgi, G. L.; Zambrini, R.; Soriano, M. C.
Cognitive Computation 15, 1440-1451 (2023)

Guest Editorial: Trends in Reservoir Computing

Scardapane, S.; Gallicchio, C.; Micheli, A; Soriano, M. C.
Cognitive Computation 15, 1407-1408 (2023)

Scalable Photonic Platform for Real-Time Quantum Reservoir Computing

García-Beni, Jorge; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Phys. Rev. Applied 20, 014051 (2023)

Integrated programmable spectral filter for frequency-multiplexed neuromorphic computers

Jonuzi, Tigers; Lupo, Alessandro; Soriano, Miguel C.; Massar, Serge; Doménech, J. D.
Optics Express 31, 19255-19265 (2023)

Neural network learning with photonics and for photonic circuit design

Brunner, D.; Soriano, M. C.; Fan, S.
Nanophotonics 12, 773-775 (2023)

Time-Series Quantum Reservoir Computing with Weak and Projective Measurements

Mujal, Pere; Martínez-Peña, Rodrigo; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
npj Quantum Information 9, 16 (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)

Optical dendrites for spatio-temporal computing with few-mode fibers

Ortín, Silvia; Soriano, Miguel C.; Fischer, Ingo; Mirasso, Claudio R.; Argyris, Apostolos
Optical Materials Express 12 (5), 1907-1919 (2022)

Nonlinear Dynamics of a Single-Mode Semiconductor Laser with Long Delayed Optical Feedback: A Modern Experimental Characterization Approach

Porte, Xavier; Brunner, Daniel; Fischer, Ingo; Soriano, Miguel C.
Photonics 9, 47 (2022)

Nonlinear photonic dynamical systems for unconventional computing

Brunner, Daniel; Larger, Laurent; Soriano, Miguel C.
Nonlinear Theory and Its Applications, IEICE 13, 26-35 (2022)

Analytical Evidence of Nonlinearity in Qubits and Continuous-Variable Quantum Reservoir Computing

Mujal, Pere; Nokkala, Johannes; Martinez-Peña, Rodrigo; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Journal of Physics: Complexity 2, 045008 (2021)

Unveiling the role of plasticity rules in reservoir computing

Morales, Guillermo B.; Mirasso, Claudio R.; Soriano, Miguel C.
Neurocomputing 461, 705-715 (2021)

Analog information processing with time-multiplexed optoelectronic systems

Goldmann, Mirko; Fischer, Ingo; Soriano, Miguel C.
Emerging Topics in Artificial Intelligence (ETAI) 2021, International Society for Optics and Photonics, 11804, 118041X (2021)

Quantum reservoir computing in bosonic networks

Mujal, Pere; Nokkala, Johannes; Martinez-Peña, Rodrigo; García-Beni, Jorge; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Emerging Topics in Artificial Intelligence (ETAI) 2021, SPIE, International Society for Optics and Photonics, 11804, 20-29 (2021)

Dynamical phase transitions in quantum reservoir computing

Martínez-Peña, Rodrigo; Giorgi, Gian Luca; Nokkala, Johannes; Soriano, Miguel C.; Zambrini, Roberta
Physical Review Letters 127, 100502 (1-7) (2021)

Time-Delay Identification Using Multiscale Ordinal Quantifiers

Soriano, Miguel C.; Zunino, Luciano
Entropy 23, 969 (2021)

Exploiting transient dynamics of a time-multiplexed reservoir to boost the system performance

Goldmann, Mirko; Mirasso, Claudio R.; Fischer, Ingo; Soriano, Miguel C.
International Joint Conference on Neural Networks 2021, IEEE Computational Intelligence Society, International Neural Network Society, , (2021)

Opportunities in Quantum Reservoir Computing and Extreme Learning Machines

Mujal, Pere; Martínez-Peña, Rodrigo; Nokkala, Johannes; García-Beni, Jorge; Giorgi, Gian Luca; Soriano, Miguel C.; Zambrini, Roberta
Advanced Quantum Technologies , 2100027 (2021)

Gaussian states of continuous-variable quantum systems provide universal and versatile reservoir computing

Nokkala, Johannes;Martínez-Peña, Rodrigo;Giorgi, Gian Luca; Parigi, Valentina;Soriano, Miguel C.;Zambrini, Roberta
Communications Physics 4, 53 (2021)

Influence of Measurements on Continuous Variable Quantum Reservoir Computing

García Beni, Jorge (Advisors: Miguel C. Soriano and Roberta Zambrini)
Master Thesis (2021)

Fundamentals of Information Processing on an Analog Reservoir Computer

Vettelschoss, Benedikt (Supervisors: André Röhm and Miguel C. Soriano)
Master Thesis (2020)

Comparison of photonic reservoir computing systems for fiber transmission equalization

Argyris, A.; Cantero, J.; Galletero, M.; Pereda, E.; Mirasso, C. R.; Fischer, I.; Soriano, M. C.
IEEE Journal of Selected Topics in Quantum Electronics 26, 5100309 (2020)

Machine learning algorithms for predicting the amplitude of chaotic laser pulses

Amil, Pablo; Soriano, Miguel C.; Masoller, Cristina
Chaos 29, 113111 (2019)

Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing

Cunillera, Alejandro; Soriano, Miguel C.; Fischer, Ingo
Chaos 29, 113113 (1-9) (2019)

Unraveling the decay of the number of unobserved ordinal patterns in noisy chaotic dynamics

Olivares, Felipe; Zunino, Luciano; Soriano, Miguel C.; Pérez, Darío G.
Physical Review E 100, 042215 (1-8) (2019)

Constructive Role of Noise for High-Quality Replication of Chaotic Attractor Dynamics Using a Hardware-Based Reservoir Computer

Estébanez, Irene; Fischer, Ingo; Soriano, Miguel C.
Physical Review Applied 12, 034058 (2019)

Multilayer reservoir computing to overcome the memory-nonlinearity trade-off

Jaume Suárez, Samuel (Supervisor: Miguel C. Soriano)
Master Thesis (2019)

Constructive role of plasticity rules in reservoir computing

Barrios, Guillermo (Supervisors: Miguel C. Soriano, Claudio Mirasso)
Master Thesis (2019)

Time delay systems for reservoir computing

Ortín, Silvia; Pesquera, Luis; Van der Sande, Guy; Soriano, Miguel C.
Photonic Reservoir Computing: Optical Recurrent Neural Networks, De Gruyter, 117-151 (2019)

Semiconductor lasers as reservoir substrates

Van der Sande, Guy; Soriano, Miguel C.
Photonic Reservoir Computing: Optical Recurrent Neural Networks, De Gruyter, 185-203 (2019)

A Fast Machine Learning Model for ECG-Based Heartbeat Classification and Arrhythmia Detection

Alfaras, Miquel; Soriano, Miguel C.; Ortín, Silvia
Frontiers in Physics 7, 103 (2019)

Information processing using optoelectronic delayed systems: Influence of an additional delay

Yelo, Jesús (Supervisor: Miguel C. Soriano)
Master Thesis (2019)

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