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dc.contributor.authorSergey Borisenok
dc.date.accessioned2021-06-21T08:55:18Z
dc.date.available2021-06-21T08:55:18Z
dc.date.issued2020en_US
dc.identifier.issn2278-5728
dc.identifier.issn: 2319-765X
dc.identifier.urihttps://hdl.handle.net/20.500.12573/828
dc.description.abstractModel: 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.language.isoengen_US
dc.publisherIOSR Journal of Mathematics (IOSR-JM)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHodgkin-Huxley neuronen_US
dc.subjectEpileptiform Dynamicsen_US
dc.subjectKolesnikov’s Feedbacken_US
dc.subjecten_US
dc.subjecten_US
dc.titleSuppressing Epileptiform Dynamics in Small Hodgkin-Huxley Neuron Clusters via Target Repeller-Attractor Feedbacken_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Mühendislik Fakültesi, Elektrik - Elektronik Mühendisliği Bölümüen_US
dc.identifier.volumeVolume 16, Issue 4en_US
dc.relation.journalIOSR Journal of Mathematics (IOSR-JM)en_US
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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