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Daniel Brunner

Researcher at Centre national de la recherche scientifique

Publications -  126
Citations -  5178

Daniel Brunner is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Artificial neural network & Reservoir computing. The author has an hindex of 25, co-authored 101 publications receiving 3598 citations. Previous affiliations of Daniel Brunner include Heriot-Watt University & Spanish National Research Council.

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Parallel photonic information processing at gigabyte per second data rates using transient states

TL;DR: The potential of a simple photonic architecture to process information at unprecedented data rates is demonstrated, implementing a learning-based approach and all digits with very low classification errors are identified and chaotic time-series prediction with 10% error is performed.
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Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing.

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.
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Advances in photonic reservoir computing

TL;DR: A novel paradigm that has emerged in analogue neuromorphic optical computing is reviewed: networks implemented with multiple discrete optical nodes and the continuous system of a single nonlinear device coupled to delayed feedback.
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Optical pumping of a single hole spin in a quantum dot

TL;DR: High fidelity initialization of a single hole spin confined to a self-assembled quantum dot by optical pumping is demonstrated, demonstrating a negligible hole spin hyperfine interaction and suggesting a route to the realization of solid-state quantum networks that can intra-convert the spin state with the polarization of a photon.
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A coherent single-hole spin in a semiconductor.

TL;DR: The results demonstrate that a hole spin in a quantum dot is highly coherent, and the strategy of using holes instead of electrons may provide a solution to the decoherence problem.