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Maximum Likelihood Based Quantum Set Separation

Sándor Imre·Ferenc Balázs
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Abstract

In this paper we introduce a method, which is used for set separation based on quantum computation. In case of no a-priori knowledge about the source signal distribution, it is a challenging task to find an optimal decision rule which could be implemented in the separating algorithm. We lean on the Maximum Likelihood approach and build a bridge between this method and quantum counting. The proposed method is also able to distinguish between disjunct sets and intersection sets.

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Sándor Imre, Ferenc Balázs. 2004-02-12. Maximum Likelihood Based Quantum Set Separation. https://arxiv.org/abs/quant-ph/0402081

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