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Genetic Algorithms And Optimization Problems In Quantum Computing

Author

Listed:
  • Y. HARDY

    (International School for Scientific Computing, University of Johannesburg, Auckland Park 2006, South Africa)

  • W.-H. STEEB

    (International School for Scientific Computing, University of Johannesburg, Auckland Park 2006, South Africa)

Abstract

We solve a number of problems in quantum computing by applying genetic algorithms. We use the bitset class ofC++to represent any data type for genetic algorithms. Thus we have a flexible way to solve any optimization problem. The Bell-CHSH inequality and entanglement measures are studied using genetic algorithms. Entangled states form the backbone for teleportation. TheC++code is also provided.

Suggested Citation

  • Y. Hardy & W.-H. Steeb, 2010. "Genetic Algorithms And Optimization Problems In Quantum Computing," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(11), pages 1359-1375.
    • Handle: RePEc:wsi:ijmpcx:v:21:y:2010:i:11:n:s0129183110015890
    DOI: 10.1142/S0129183110015890
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