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Master Thesis

Évaluation du potentiel des machines quantiques pour l’optimisation combinatoire

Abstract : Quantum machine provide an opportunity to revolutionizing many fields, especially in combinatorial algorithms. In this internship, we propose to assess the performance of existing (and published) algorithms and clarify the opportunities of quantum algorithms. In a first step, we use a search algorithm on an unstructured database published by Lov Grover (1996) and two other algorithms inspired by the Grover algorithm dealing with the satisfiability problem on a logical formulas and search for elements in an array. The second part present quantum algorithms necessary to do combinatorial optimization, such as the sumation and minimization. Finally, we experimentally solve the problem of vertex cover and traveling salesman problem.
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Master Thesis
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Submitted on : Tuesday, October 19, 2021 - 9:18:01 AM
Last modification on : Wednesday, November 3, 2021 - 7:30:23 AM


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  • HAL Id : dumas-03384577, version 1



Julien Rodriguez. Évaluation du potentiel des machines quantiques pour l’optimisation combinatoire. Informatique [cs]. 2020. ⟨dumas-03384577⟩



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