In previous works, it has been shown that reservoir computing (RC) systems using a laser subject to a delayed optical feedback and stabilized by an injected signal may be highly sensitive to the feedback phase. In this Letter, we show that a RC system using a single quantum cascade laser subject to a delayed optical feedback but without injection is robust to the feedback phase for a large range of values of the parameters.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
The topic of external optical feedback in quantum-cascade lasers is relevant for stability and beam-...
[eng] Reservoir Computing is a paradigm of Machine Learning that harnesses the information processin...
International audienceWe numerically investigate a time-delayed reservoir computer architecture base...
Optical implementations of reservoir computing systems are very promising because of their high proc...
Reservoir computing (RC) systems are computational tools for information processing that can be full...
Photonic implementations of reservoir computing (RC) have been receiving considerable attention due ...
International audienceReservoir computing (RC) systems are computational tools for information proce...
International audienceWe analyze the modification of the computational properties of a time-delay ph...
In photonic reservoir computing, semiconductor lasers with delayed feedback have shown to be suited ...
Reservoir computing has recently been introduced as a new paradigm in the field of machine learning....
International audiencePhotonic implementations of novel information processing schemes based on mach...
Delayed feedback systems are known to exhibit a rich dynamical behavior, showing a wide variety of d...
[eng] Semiconductor lasers (SLs) that are subject to delayed optical feedback and external optical i...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
International audienceWe numerically quantify the performance of photonic reservoir computer based o...
The topic of external optical feedback in quantum-cascade lasers is relevant for stability and beam-...
[eng] Reservoir Computing is a paradigm of Machine Learning that harnesses the information processin...
International audienceWe numerically investigate a time-delayed reservoir computer architecture base...
Optical implementations of reservoir computing systems are very promising because of their high proc...
Reservoir computing (RC) systems are computational tools for information processing that can be full...
Photonic implementations of reservoir computing (RC) have been receiving considerable attention due ...
International audienceReservoir computing (RC) systems are computational tools for information proce...
International audienceWe analyze the modification of the computational properties of a time-delay ph...
In photonic reservoir computing, semiconductor lasers with delayed feedback have shown to be suited ...
Reservoir computing has recently been introduced as a new paradigm in the field of machine learning....
International audiencePhotonic implementations of novel information processing schemes based on mach...
Delayed feedback systems are known to exhibit a rich dynamical behavior, showing a wide variety of d...
[eng] Semiconductor lasers (SLs) that are subject to delayed optical feedback and external optical i...
The recent progress in artificial intelligence has spurred renewed interest in hardware implementati...
International audienceWe numerically quantify the performance of photonic reservoir computer based o...
The topic of external optical feedback in quantum-cascade lasers is relevant for stability and beam-...
[eng] Reservoir Computing is a paradigm of Machine Learning that harnesses the information processin...
International audienceWe numerically investigate a time-delayed reservoir computer architecture base...