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GENETIC ALGORITHMS AND OPTIMIZATION PROBLEMS IN QUANTUM COMPUTING

Y. HARDY

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

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W.-H. STEEB

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

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https://doi.org/10.1142/S0129183110015890Cited by:3 (Source: Crossref)

Abstract

We solve a number of problems in quantum computing by applying genetic algorithms. We use the bitset class of C++ 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. The C++ code is also provided.

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