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Pattern classification using maximally entangled quantum states (MES)

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Abstract

Pattern classifications have been performed by employing the method of Grover’s iteration on Bell’s MES and Singh-Rajput MES in a two-qubit system and it has been demonstrated that, for any pattern classification, in a two-qubit system the maximally entangled states of Singh-Rajput eigenbasis provide the most suitable choice of search states while, in no case, any of Bell’s states is suitable for such pattern classifications. Applying the method of Grover’s iterate on three different superpositions in a three-qubit system, it has been shown that the choice of exclusive superposition, as the search state, is the most suitable one for the desired pattern classifications based on Grover’s iterative search algorithm.

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Authors and Affiliations

  1. Department of Computer Science, Institute of Engineering & Technology, Khandari Campus, DR. BR Ambedkar University, Agra (U. P.), India

    Manu Pratap Singh & B. S. Rajput

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  1. Manu Pratap Singh
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  2. B. S. Rajput
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Correspondence to Manu Pratap Singh.

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Singh, M.P., Rajput, B.S. Pattern classification using maximally entangled quantum states (MES). Eur. Phys. J. Plus 129, 57 (2014). https://doi.org/10.1140/epjp/i2014-14057-7

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  • DOI: https://doi.org/10.1140/epjp/i2014-14057-7

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