Ingo Fischer

Bert Ingo Fischer
Profile
My research activities comprise photonics, semiconductor laser physics and laser dynamics, complex systems, in particular delay-coupled systems and laser networks, as well as neuro-inspired information processing.

My current focus is to bridge the fields of photonics, complex systems and neuroscience, achieving cross-fertilization via the understanding of photonic systems, complex dynamical system's properties and their functionalities. This gives rise to bio-inspired photonics and novel information processing concepts.

please see also web page above

UIB page: https://www.uib.eu/personal/ABjIwOTg3Ng/

Recent Publications

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, https://doi.org/10.1038/s42256-021-00329-8 (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)

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)

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 ...

Decaph

Dendrite-based Computation Applied to PHotonics systems

P.I.: Apostolos Argyris, Ingo Fischer, Claudio Mirasso
The DECAPH project addresses fundamental aspects of cognitive computing introducing a disruptive architecture that mimics in more detail the actual operations that are performed in the brain. By mimicking such neuron structures ...

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 ...

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