Suppressing Epileptiform Dynamics in Small Hodgkin-Huxley Neuron Clusters via Target Repeller-Attractor Feedback

dc.contributor.author Sergey Borisenok
dc.contributor.department AGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümü en_US
dc.date.accessioned 2021-06-21T08:55:18Z
dc.date.available 2021-06-21T08:55:18Z
dc.date.issued 2020 en_US
dc.description.abstract Model: Quantum battery (QB) is a device that is capable to be charged efficiently and store the energy for a long period of time to be transferred to consumption centers. There are many different physical types of such devices and different charging schemes. Here we discuss the single-qubit based QB in the form of quantum oscillator in a Markovian bath environment. The charging of QB is performed via so-called 'coherent' control u(t) in the Hamiltonian and time dependent spectral density n(t) as an 'incoherent' control (number of excitations in the bath). Our goal is to drive the ergotropy of the stored qubit via the certain control algorithm. Methods: For the effective control we apply here Kolesnikov’s ‘target attractor’ (TA) feedback algorithm. In the frame of this approach we form an attractor set targeting the evolution of the basic characteristics of quantum battery. TA method makes the effective design of the control fields charging the battery; the corresponding control signals could be restored explicitly from the dynamical equations. Interestingly, the proposed algorithm applied to our single qubit model of QB has an analytical solution. Results and Discussion: As a result for the control goal, we obtain an exponentially converting behavior for driving the quantum battery ergotopic characteristics. Our algorithm can be extended to the multi-qubit model of QB (for the parallel or collective charging scheme). It could be applied also for different physical realizations of QBs: Dicke QB, spin QB, harmoniс oscillator QB; and for all working stages of the QB (charging, long time storage and the energy transfer to a consumption center or engine). Conclusion: Feedback algorithms, particularly in the form of target attractor approach, can be applied efficiently to control the set of fundamental characteristics of quantum batteries, including the ergotropy, charging power and others. The analytical study of the proposed model and its numerical simulations demonstrate the possibility to imply the developed mathematical algorithm experimentally for a single qubit system and the set of few qubits as well. en_US
dc.identifier.issn 2278-5728
dc.identifier.issn : 2319-765X
dc.identifier.uri https://hdl.handle.net/20.500.12573/828
dc.identifier.volume Volume 16, Issue 4 en_US
dc.language.iso eng en_US
dc.publisher IOSR Journal of Mathematics (IOSR-JM) en_US
dc.relation.journal IOSR Journal of Mathematics (IOSR-JM) en_US
dc.relation.publicationcategory Makale - Uluslararası - Editör Denetimli Dergi en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Hodgkin-Huxley neuron en_US
dc.subject Epileptiform Dynamics en_US
dc.subject Kolesnikov’s Feedback en_US
dc.subject en_US
dc.subject en_US
dc.title Suppressing Epileptiform Dynamics in Small Hodgkin-Huxley Neuron Clusters via Target Repeller-Attractor Feedback en_US
dc.type article en_US

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