  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.
