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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…
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Keywords:
reservoir computer;
quantum reservoir;
time series;
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Published in 2021 at "Chaos"
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…
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Keywords:
multifunctionality;
multifunctionality reservoir;
reservoir computer;
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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…
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Keywords:
low dimensional;
reservoir computer;
reservoir computers;
dimensional manifolds ... See more keywords
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Published in 2024 at "Chaos"
DOI: 10.1063/5.0175001
Abstract: In this paper, we analyze the dynamic effect of a reservoir computer (RC) on its performance. Modified Kuramoto's coupled oscillators are used to model the RC, and synchronization, Lyapunov spectrum (and dimension), Shannon entropy, and…
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Keywords:
shannon entropy;
performance;
reservoir computer;
synchronization ... See more keywords
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Published in 2024 at "Journal of Applied Physics"
DOI: 10.1063/5.0184848
Abstract: A numerical model for a spin wave delay-line active ring resonator is presented. Spin wave dynamics along a one-dimensional strip of magnetic material are modeled using the nonlinear Schrödinger equation. The equation is solved numerically…
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Keywords:
numerical simulations;
spin wave;
simulations magnonic;
reservoir computer ... See more keywords
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Published in 2024 at "Physical review. E"
DOI: 10.1103/physreve.109.054203
Abstract: Time delays play a significant role in dynamical systems, as they affect their transient behavior and the dimensionality of their attractors. The number, values, and spacing of these time delays influences the eigenvalues of a…
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Keywords:
time;
multiple delays;
prediction;
reservoir computer ... See more keywords
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Published in 2024 at "Physical review. E"
DOI: 10.1103/physreve.109.064205
Abstract: A self-learning physical reservoir computer is demonstrated using an adaptive oscillator. Whereas physical reservoir computing repurposes the dynamics of a physical system for computation through machine learning, adaptive oscillators can innately learn and store information…
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Keywords:
self learning;
reservoir;
learning physical;
reservoir computer ... See more keywords
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Published in 2025 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2024.3481628
Abstract: Multi-layer neural networks have enabled a breakthrough compared with single-layer neural networks in sequence prediction, nonlinear channel equalization, and pattern recognition, especially challenging tasks with large database. Time-delayed reservoir computer, which is known as competitive…
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Keywords:
layer;
double layer;
reservoir computer;
layer reservoir ... See more keywords
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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…
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Keywords:
parameter drift;
output;
reservoir computer;
performance ... See more keywords