Add to ORKGWe present the first experimental implementation of a passive linear reservoir computer working in coherent light for analogue signal processing. By using an optical cavity, the neuron states are coded by temporal multiplexing in the amplitude and the phase of a coherent electromagnetic field. We report the performances obtained with our experimental setup compared to simulations on some benchmark tasks. In the future, our goal will be to realise a high-speed implementation of our system in integrated photonics.info:eu-repo/semantics/nonPublishe
Photonic reservoir computing uses recent advances in machine learning, and in particular the reservo...
Reservoir computing (RC), a computational paradigm inspired on neural systems, has become increasing...
Reservoir computing is a new bio-inspired computation paradigm. It exploits a dynamical system drive...
The aim of our project will be to realise a high-speed all-optical implementation of a reservoir com...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
We study numerically a realistic model of an original autonomous implementation of a photonic neural...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
We investigate, both numerically and experimentally, the usefulness of a distributed non-linearity i...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
We present an autonomous all-photonic experimental implementation of an artificial neural network ba...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...
International audienceWe review a novel paradigm that has emerged in analogue neuromorphic optical c...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
We present a coherent wavelength division multiplexed reservoir computer based on intra-cavity phase...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
Photonic reservoir computing uses recent advances in machine learning, and in particular the reservo...
Reservoir computing (RC), a computational paradigm inspired on neural systems, has become increasing...
Reservoir computing is a new bio-inspired computation paradigm. It exploits a dynamical system drive...
The aim of our project will be to realise a high-speed all-optical implementation of a reservoir com...
Reservoir computing is a recent bio-inspired approach for processing time-dependent signals. It has ...
We study numerically a realistic model of an original autonomous implementation of a photonic neural...
We study a realistic numerical model of an autonomous all-optical neural network based on two cohere...
We investigate, both numerically and experimentally, the usefulness of a distributed non-linearity i...
Reservoir computing is a brain-inspired approach for information processing, well suited to analog i...
We present an autonomous all-photonic experimental implementation of an artificial neural network ba...
In this thesis we study photonic computation within the framework of reservoir computing. Inspired b...
International audienceWe review a novel paradigm that has emerged in analogue neuromorphic optical c...
For many challenging problems where the mathematical description is not explicitly defined, artifici...
We present a coherent wavelength division multiplexed reservoir computer based on intra-cavity phase...
Reservoir Computing [1] is a new approach to study and use Neural Networks, which try to mimic a bra...
Photonic reservoir computing uses recent advances in machine learning, and in particular the reservo...
Reservoir computing (RC), a computational paradigm inspired on neural systems, has become increasing...
Reservoir computing is a new bio-inspired computation paradigm. It exploits a dynamical system drive...