Complex-valued channel representation for decoding of the broadband signal by the quantum neurons

Channel representation of data to decode the broadband signal is proposed. The basis of the approach is non-linear map, which increases the dimensionality of data and the distance between patterns. Final signal detection is carried out using complex-valued quantum neurons in a parallel circuit. The efficiency of the algorithm for decoding of a signal with the background of white noise is shown.