L
Luis Pesquera
Researcher at Spanish National Research Council
Publications - 116
Citations - 3893
Luis Pesquera is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Semiconductor laser theory & Polarization (waves). The author has an hindex of 24, co-authored 116 publications receiving 3340 citations.
Papers
More filters
Journal ArticleDOI
Chaos-based communications at high bit rates using commercial fibre-optic links
Apostolos Argyris,Dimitris Syvridis,Laurent Larger,Valerio Annovazzi-Lodi,Pere Colet,Ingo Fischer,Ingo Fischer,Jordi Garcia-Ojalvo,Claudio R. Mirasso,Luis Pesquera,K. Alan Shore +10 more
TL;DR: High-speed long-distance communication based on chaos synchronization over a commercial fibre-optic channel is demonstrated, showing that information can be transmitted at high bit rates using deterministic chaos in a manner that is robust to perturbations and channel disturbances unavoidable under real-world conditions.
Journal ArticleDOI
Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing.
Laurent Larger,Miguel C. Soriano,Daniel Brunner,Lennert Appeltant,José M. Gutiérrez,Luis Pesquera,Claudio R. Mirasso,Ingo Fischer +7 more
TL;DR: This work experimentally demonstrate optical information processing using a nonlinear optoelectronic oscillator subject to delayed feedback and implements a neuro-inspired concept, called Reservoir Computing, proven to possess universal computational capabilities.
Journal ArticleDOI
Optoelectronic reservoir computing: tackling noise-induced performance degradation.
Miguel C. Soriano,Silvia Ortín,Daniel Brunner,Laurent Larger,Claudio R. Mirasso,Ingo Fischer,Luis Pesquera +6 more
TL;DR: Improved strategies to perform photonic information processing using an optoelectronic oscillator with delayed feedback are presented and it is illustrated that the performance degradation induced by noise can be compensated for via multi-level pre-processing masks.
Journal ArticleDOI
A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron
Silvia Ortín,Miguel C. Soriano,Luis Pesquera,Daniel Brunner,Daniel San-Martín,Ingo Fischer,Claudio R. Mirasso,José M. Gutiérrez +7 more
TL;DR: It is shown that the reservoir computing implementation, in this case optoelectronic, is also capable to realize extreme learning machines, demonstrating the unified framework for both schemes in software as well as in hardware.
Journal ArticleDOI
Digital key for chaos communication performing time delay concealment.
TL;DR: A scheme that integrates a digital key in a phase-chaos electro-optical delay system for optical chaos communications that provides a large flexibility allowing for easy reconfigurations to communicate securely at a high bit rate between different systems is introduced.