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Design and Acceleration of a Quantum Genetic Algorithm Through the Matlab GPU Library

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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Part of the book series: Studies in Computational Intelligence ((SCI,volume 601))

Abstract

The potential processing power of a quantum computer is quantum parallelism, but significant disadvantages of quantum simulators are processing speed and memory. In this work, we illustrate with a Quantum Genetic Algorithm (QGA) the advantages of using the software platform of Compute Unified Device Architecture (CUDA) from NVIDIA, in special, the Matlab Graphic Processing Unit (GPU) library was used. The original software for Matlab named Quack!, which is a quantum computer simulator, was modified with the aim of speeding up a QGA. Experimental results that show advantages of using a QGA, as well as comparative experiments of the sequential implementation versus implementations that use the CUDA cores for different NVIDIA cards are presented.

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Acknowledgments

We thank to Instituto Politecnico Nacional (IPN), to the Comisión de Fomento y Apoyo Académico del IPN (COFAA), and the Mexican National Council of Science and Technology (CONACYT) for supporting our research activities.

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Authors and Affiliations

  1. Centro de Investigación y Desarrollo de Tecnología Digital (CITEDI-IPN), Instituto Politécnico Nacional, Av. Del Parque No. 1310, Mesa de Otay, 22510, Tijuana, BC, México

    Oscar Montiel, Ajelet Rivera & Roberto Sepúlveda

Authors
  1. Oscar Montiel
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  2. Ajelet Rivera
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  3. Roberto Sepúlveda
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Corresponding author

Correspondence to Oscar Montiel .

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Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Montiel, O., Rivera, A., Sepúlveda, R. (2015). Design and Acceleration of a Quantum Genetic Algorithm Through the Matlab GPU Library. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Studies in Computational Intelligence, vol 601. Springer, Cham. https://doi.org/10.1007/978-3-319-17747-2_26

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  • DOI: https://doi.org/10.1007/978-3-319-17747-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17746-5

  • Online ISBN: 978-3-319-17747-2

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