Optimizing a quantum reservoir computer for time series prediction
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-71673-9
Abstract: Quantum computing and neural networks show great promise for the future of information processing. In this paper we study a quantum reservoir computer (QRC), a framework harnessing quantum dynamics and designed for fast and efficient… read more here.
Keywords: reservoir computer; quantum reservoir; time series;
Multifunctionality in a Reservoir Computer
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DOI: 10.1063/5.0019974
Abstract: Multifunctionality is a well observed phenomenological feature of biological neural networks and considered to be of fundamental importance to the survival of certain species over time. These multifunctional neural networks are capable of performing more… read more here.
Keywords: multifunctionality; multifunctionality reservoir; reservoir computer;
Low dimensional manifolds in reservoir computers.
Sign Up to like & getrecommendations! Published in 2021 at "Chaos"
DOI: 10.1063/5.0047006
Abstract: A reservoir computer is a complex dynamical system, often created by coupling nonlinear nodes in a network. The nodes are all driven by a common driving signal. Reservoir computers can contain hundreds to thousands of… read more here.
Keywords: low dimensional; reservoir computer; reservoir computers; dimensional manifolds ... See more keywords
Photonic Reservoir Computer with Output Expansion for Unsupervized Parameter Drift Compensation
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23080955
Abstract: We present a method to improve the performance of a reservoir computer by keeping the reservoir fixed and increasing the number of output neurons. The additional neurons are nonlinear functions, typically chosen randomly, of the… read more here.
Keywords: parameter drift; output; reservoir computer; performance ... See more keywords