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Toplam kayıt 4, listelenen: 1-4
DETECTION AND CONTROL OF EPILEPTIFORM REGIME IN THE HODGKIN–HUXLEY ARTIFICIAL NEURAL NETWORKS VIA QUANTUM ALGORITHMS
(Institute for Problems in Mechanical Engineering, Russian Academy of Sciences, 2022)
The problem of detection and the following suppression of epileptiform dynamics in artificial neural networks (ANN) still is a hot topic in modern theoretical
and applied neuroscience. For the purpose of such modeling, ...
Control over performance of qubit-based sensors
(Institute for Problems in Mechanical Engineering, Russian Academy of Sciences, 2018)
The extreme sensitivity of quantum systems towards the external perturbations and in the same time their ability to be strongly coupled to the measured target field makes them to be stable under the environmental noise. A ...
Energy control in a quantum oscillator using coherent control and engineered environment
(PERGAMON-ELSEVIER SCIENCE, 2022)
We develop and analyze a new method for manipulation of energy in a quantum harmonic oscillator using coherent, e.g., electromagnetic, field and incoherent control. Coherent control is typically implemented by shaped laser ...
Target attractor formed via fractional feedback control
(YILDIZ TECHNICAL UNIVYILDIZ CAMPUS, BESIKTAS, ISTANBUL 34349, TURKEY, 2021)
We discuss here the stabilization problem for an ordinary differential equation (ODE) dynamical model. To make such a control, one can form a Kolesnikov’s subset attracting the phase trajectories to its neighborhood in the ...