Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies · Université de franche-comté · +5 more institutions
Abstract
Many information processing challenges are difficult to solve with traditional Turing or von Neumann approaches. Implementing unconventional computational methods is therefore essential and optics provides promising opportunities. Here we experimentally demonstrate optical information processing using a nonlinear optoelectronic oscillator subject to delayed feedback. We implement a neuro-inspired concept, called Reservoir Computing, proven to possess universal computational capabilities. We particularly exploit the transient response of a complex dynamical system to an input data stream. We employ spoken digit recognition and time series prediction tasks as benchmarks, achieving competitive processing figures…
Citation impact
- FWCI
- 42.89
- Percentile
- 100%
- References
- 31
Authors
8- LLLaurent LargerCorresponding
Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies, Université de franche-comté, Centre National de la Recherche Scientifique
- MCMiguel C. Soriano
Institute for Cross-Disciplinary Physics and Complex Systems, Universitat de les Illes Balears
- DBDaniel Brunner
Institute for Cross-Disciplinary Physics and Complex Systems, Universitat de les Illes Balears
- LALennert Appeltant
Vrije Universiteit Brussel
- JMJosé Manuel Gutiérrez
Consejo Superior de Investigaciones Científicas
Topics & keywords
- Computer science
- Reservoir computing
- Optics
- Photonics
- Turing
- Physics
- Optoelectronics
- Artificial intelligence