On maximum power point tracking quantum algorithm

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dc.contributor.author Feraoun, Habib
dc.contributor.other Tadjine, Mohamed, Directeur de thèse
dc.date.accessioned 2022-11-08T10:25:39Z
dc.date.available 2022-11-08T10:25:39Z
dc.date.issued 2022
dc.identifier.other EP00513
dc.identifier.uri http://repository.enp.edu.dz/jspui/handle/123456789/10651
dc.description Mémoire de Projet de Fin d’Études : Automatique : Alger, École Nationale Polytechnique : 2022 fr_FR
dc.description.abstract Solar energy is without doubt necessary for a utopian future world.clean,sustainable controllable energy using semiconductor technology through solar panels ,nevertheless it needs to be optimally exploited by a certain method which brings us to computing and precisely MPPT(maxmimum power point tracking) although such an algorithm has been improved through out the years and with the newest approach of computing ’quantum information’ it is possible to have the absolute optimal MPPT. The purpose of this work is to introduce quantum computing and develop theoretically some of it’s famous Quantum Algorithms and applying the quantum approach to the energy problem through MPPT by the quantum particle swarm optimization using classical simulation on a local compiler and a quantum probabilistic simulation through IBM Cloud quantum computer with qiskit library fr_FR
dc.language.iso en fr_FR
dc.subject MPPT fr_FR
dc.subject Quantum computing fr_FR
dc.subject Python fr_FR
dc.subject IBM qiskit fr_FR
dc.subject PSO fr_FR
dc.subject Programming fr_FR
dc.title On maximum power point tracking quantum algorithm fr_FR
dc.type Thesis fr_FR


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