Microring resonators with external optical feedback for time delay reservoir computing

Donati, Giovanni; Mirasso, Claudio R.; Mancinelli, Mattia; Pavesi, Lorenzo; Argyris, Apostolos
Submitted (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)

Boosting the output power of large-aperture lasers by breaking their circular symmetry

Brejnak, A.; Gębski, M.; Sokół, A. K.; Marciniak, M.; Wasiak, M.; Muszalski, J.; Lott, J. A.; Fischer, I.; Czyszanowski, T.
Optica 8 (9), 1167-1175 (2021)

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 , (2021)

Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops

Stelzer, Florian; Röhm, Andre; Vicente, Raul; Fischer, Ingo; Yanchuk, Serhiy
Nature Communications 12, 5164 (1-10) (2021)

Origin, bifurcation structure and stability of localized states in Kerr dispersive optical cavities

Parra-Rivas, Pedro; Knobloch, Edgar; Gelens, Lendert; Gomila, Damià
IMA Journal of Applied Mathematics , hxab031 (2021)

Reservoir Computing: Theory, Physical Implementations, and Applications

Nakajima, Kohei; Fischer, Ingo (Editors)
, Springer Singapore (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)

56 GBaud PAM-4 100 km Transmission System with Photonic Processing Schemes

Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Submitted (2021)

Predicting hidden structure in dynamical systems

Gauthier, Daniel J.; Fischer, Ingo
Nature Machine Intelligence 3, 281–282 (2021)

Fast physical repetitive patterns generation for masking in time-delay reservoir computing

Argyris, Apostolos; Schwind, Janek; Fischer, Ingo
Scientific Reports 11, 6701 (2021)

High-speed harvesting of random numbers

Fischer, Ingo; Gauthier, Daniel J.
Science 371 (6532), 889-890 (2021)

Observation of the Eckhaus Instability in Whispering-Gallery Mode Resonators

Gomila, D.; Parra-Rivas, P.; Colet, P.; Coillet, A.; Lin, G.; Chembo, Y.K.
submitted, (2021)

Effects of third order dispersion on the instabilities of Kerr frequency combs

Ramon Saleta-Piersanti Besga (Advisor: D. Gomila)
Master Thesis (2020)

Perturbations propagation in self-organized patterns

Abella, David (Advisor: D. Gomila)
Master Thesis (2020)

Introduction to JSTQE Issue on Photonics for Deep Learning and Neural Computing

Prucnal, P.R.; Shastri, B.J.; Fischer, I.; Brunner, D.
IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 0200103 (1-3) (2020)

Ultrafast control of fractional orbital angular momentum of microlaser emissions

Zhang, Zhifeng; Zhao, Haoqi ; Gomes Pires, Danilo; Qiao, Xingdu ; Gao, Zihe; Jornet Josep M.; Longhi, Stefano; Litchinitser, Natalia M.; Feng, Liang
Light: Science & Applications 9, 179 (1-9) (2020)

Fluctuations and correlations in Kerr optical frequency combs with additive Gaussian noise

Chembo, Yanne K.; Coillet, Aurélien; Lin, Guoping; Colet, Pere; Gomila, Damià
Chaos 30, 083146 (1-6) (2020)

Developing a photonic hardware platform for brain-inspired computing based on 5 × 5 VCSEL arrays

Heuser, Tobias; Pflüger, Moritz; Fischer, Ingo; Lott, James A; Brunner, Daniel; Reitzenstein, Stephan
Journal of Physics: Photonics 2, 044002 (2020)

Accelerating photonic computing by bandwidth enhancement of a time-delay reservoir

Estébanez, Irene; Schwind, Janek; Fischer, Ingo; Argyris, Apostolos
Nanophotonics 9 (13), 20200184 (1-9) (2020)

Tunable topological charge vortex microlaser

Zhang,Zhifeng; Qiao, Xingdu; Midya, Bikashkali ; Liu, Kevin; Sun, Jingbo ; Wu, Tianwei ; Liu, Wenjing ; Agarwal, Ritesh ; Jornet, Josep Miquel; Longhi, Stefano; Litchinitser, Natalia M; Feng, Liang
Science 368, 760-763 (2020)

Non-Hermitian multimode interference

Longhi, Stefano; Feng, Liang
Optics Letters 45, 1962-1965 (2020)

Discrete diffraction and Bloch oscillations in non-Hermitian frequency lattices induced by complex photonic gauge fields

Qin,Chengzhi; Wang ,Chengzhi; Wong, Zi Jing; Longhi, Stefano; Lu, Peixiang
Physical Review B 111, 064303 (1-14) (2020)

Performance boost of time-delay reservoir computing by non-resonant clock cycle

Stelzer, Florian;Röhm, André;Lüdge, Kathy;Yanchuk, Serhiy
Neural Networks 124, 158-169 (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)

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

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

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)

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

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

PHOTONIC RESERVOIR COMPUTING: Optical Recurrent Neural Networks

Brunner, Daniel; Soriano, Miguel C.: Van der Sande, Guy (Editors)
, De Gruyter (2019)

Complexity mapping of a photonic integrated circuit laser using a correlation-dimension-based approach

McMahon, C. Christopher; Toomey, P. Joshua; Argyris, Apostolos; Kane, M. Deb;
Laser Physics 29, 086202 (2019)

A unifying analysis of chaos synchronization and consistency in delay-coupled semiconductor lasers

Jungling, T.; Porte, X.; Oliver, N.; Soriano, M. C.; Fischer, I.
IEEE Journal of Selected Topics in Quantum Electronics 25, 1501609 (2019)

Photonic Information Processing

Bueno Moragues, Julián (Supervisors: Fischer, Ingo; Brunner, Daniel)
PhD Thesis (2019)

PAM-4 transmission at 1550 nm using photonic reservoir computing post-processing

Argyris, Apostolos;Bueno, Julián;Fischer, Ingo
IEEE Access 7, 37017-37025 (2019)

Phase space reconstruction of semiconductor laser dynamics using reservoir computing

Alejandro Cunillera Pérez (Supervisors: Ingo Fischer, Miguel C. Soriano)
Master Thesis (2019)

Bifurcation structure of periodic patterns in the Lugiato-Lefever equation with anomalous dispersion

Physical Review E 98, 042212 (1-13) (2018)

Tutorial: Photonic neural networks in delay systems

Brunner, D.; Penkovsky, B.; Marquez, A.; Jacquot, M.; Fischer, I.; Larger, L.
Journal of Applied Physics 124, 152004 (1-14) (2018)

Complex photonic systems for post-processing communication signals

Losa Morlá, Joan (Argyris, Apostolos; Fischer, Ingo)
Master Thesis (2018)

Reinforcement learning in a large-scale photonic recurrent neural network

Bueno, Julian; Maktoobi, Sheler; Froehly, Luc; Fischer, Ingo; Jacquot, Maxime; Larger, Laurent; Brunner, Daniel
Optica 5, 756-760 (2018)

Photonic machine learning implementation for signal recovery in optical communications

Argyris, Apostolos; Bueno, Julián; Fischer, Ingo
Scientific Reports 8, 8487 (2018)

Post-processing of Long-haul and Ethernet Optical Transmission Signals Using Photonic Reservoir Computing

Argyris, Apostolos; Bueno, Julián; Fischer, Ingo
2017 European Conference on Optical Communication (ECOC), IEEE, , (2018)

Consistency properties of chaotic systems driven by time-delayed feedback

Jüngling, Thomas; Soriano, Miguel C.; Oliver, Neus; Porte, Xavier; Fischer, Ingo.
Physical Review E 97, 042202 (1-13) (2018)

Bifurcation structure of localized states in the Lugiato-Lefever equation with anomalous dispersion

Parra-Rivas, P.; Gomila, D.; Gelens, L.; Knobloch, E.
Physical Review E 97, 042204 (1-20) (2018)

Theory and applications of the Lugiato-Lefever Equation

Chembo, Y.K.; Gomila, D.; Tlidi, M.; Menyuk, C.R.
European Physical Journal D 71, 299 (2017)

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