We show theoretically that neural networks based on disordered exciton-polariton systems allow the realization of Toffoli gates. Noise in input signals is self-corrected by the networks, such that the obtained Toffoli gates are in principle cascadable, where their universality would allow for arbitrary circuits without the need of additional error-correcting codes. We further find that the exciton-polariton reservoir computers can directly simulate composite circuits, such that they are a highly efficient platform allowing circuits to operate in a single step, minimizing the delay of signal transport between elements and error-correction overhead.Published versio
We show that logical signals encoded in bistable states in semiconductor microcavities can be genera...
International audienceAlthough optical technology provides the best solution for the transmission of...
Efficient Balanced Networks (EBNs) are networks of spiking neurons in which excitatory and inhibitor...
We show theoretically that neural networks based on disordered exciton-polariton systems allow the r...
We propose all-optical neural networks characterized by very high energy efficiency and performance...
© 2017 World Scientific Publishing Company. A thin-layer Belousov-Zhabotinsky (BZ) medium is a power...
In this report, I studied the behaviour of exciton polariton condensate system in the context of m...
We demonstrate that time-delayed nonlinear effects in exciton-polaritons can be used to construct ne...
Exciton-polaritons are hybrid light-matter quasiparticles. Being such hybrid, they inherit the fast ...
Machine learning software applications are ubiquitous in many fields of science and society for thei...
In contrast to software simulations of neural networks, hardware implementations have often limited ...
By exploiting the polarization multistability of polaritons, we show that polarized signals can be c...
Excitons are bound hydrogen-like states of electrons and holes, typically appear- ing in semiconduct...
We study artificial neural networks with nonlinear waves as a computing reservoir. We discuss univer...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
We show that logical signals encoded in bistable states in semiconductor microcavities can be genera...
International audienceAlthough optical technology provides the best solution for the transmission of...
Efficient Balanced Networks (EBNs) are networks of spiking neurons in which excitatory and inhibitor...
We show theoretically that neural networks based on disordered exciton-polariton systems allow the r...
We propose all-optical neural networks characterized by very high energy efficiency and performance...
© 2017 World Scientific Publishing Company. A thin-layer Belousov-Zhabotinsky (BZ) medium is a power...
In this report, I studied the behaviour of exciton polariton condensate system in the context of m...
We demonstrate that time-delayed nonlinear effects in exciton-polaritons can be used to construct ne...
Exciton-polaritons are hybrid light-matter quasiparticles. Being such hybrid, they inherit the fast ...
Machine learning software applications are ubiquitous in many fields of science and society for thei...
In contrast to software simulations of neural networks, hardware implementations have often limited ...
By exploiting the polarization multistability of polaritons, we show that polarized signals can be c...
Excitons are bound hydrogen-like states of electrons and holes, typically appear- ing in semiconduct...
We study artificial neural networks with nonlinear waves as a computing reservoir. We discuss univer...
We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is ...
We show that logical signals encoded in bistable states in semiconductor microcavities can be genera...
International audienceAlthough optical technology provides the best solution for the transmission of...
Efficient Balanced Networks (EBNs) are networks of spiking neurons in which excitatory and inhibitor...