Genetic algorithm optimization of entanglement

Physics – Quantum Physics

Scientific paper

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26 pages with 13 figures, based on Chapter 3 of the Master thesis of the first author defended at IPICyT, San Luis Potosi, Mx,

Scientific paper

10.1103/PhysRevA.74.052308

We present an application of a genetic algorithmic computational method to
the optimization of the concurrence measure of entanglement for the cases of
one dimensional chains, as well as square and triangular lattices in a simple
tight-binding approach in which the hopping of electrons is much stronger than
the phonon dissipation

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