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Heuristics for Quantum Computing Dealing with 3-SAT

Author

Listed:
  • Jose J. Paulet

    (Departamento de Sistemas Informaticos y Computacion, Facultad de Informatica, Complutense University, 28040 Madrid, Spain)

  • Luis F. LLana

    (Departamento de Sistemas Informaticos y Computacion, Facultad de Informatica, Complutense University, 28040 Madrid, Spain)

  • Hernán Indíbil Calvo

    (Departamento de Sistemas Informaticos, Escuela Superior de Ingenieria Informatica, University of Castilla—La Mancha, 02071 Albacete, Spain)

  • Mauro Mezzini

    (Dipartimento di Scienze della Formazione, Via del Castro Pretorio 20, UniRoma3, 00185 Rome, Italy)

  • Fernando Cuartero

    (Departamento de Sistemas Informaticos, Escuela Superior de Ingenieria Informatica, University of Castilla—La Mancha, 02071 Albacete, Spain)

  • Fernando L. Pelayo

    (Departamento de Sistemas Informaticos, Escuela Superior de Ingenieria Informatica, University of Castilla—La Mancha, 02071 Albacete, Spain)

Abstract

The SAT problem is maybe one of the most famous NP-complete problems. This paper deals with the 3-SAT problem. We follow a sort of incremental strategy to save computational costs with respect to the classical quantum computing approach. We present an heuristics that leads this strategy, improving the performance of the purely random incremental scheme. We finally validate our approach by means of a thorough empirical study.

Suggested Citation

  • Jose J. Paulet & Luis F. LLana & Hernán Indíbil Calvo & Mauro Mezzini & Fernando Cuartero & Fernando L. Pelayo, 2023. "Heuristics for Quantum Computing Dealing with 3-SAT," Mathematics, MDPI, vol. 11(8), pages 1-24, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1888-:d:1124800
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