Precision Reconstruction of Polarization Quantum States under Noisy Measurement Conditions

An algorithm for forming an adequate model for reconstructing polarization quantum states under noisy conditions is presented. For the correct analysis of the statistics of reading quantum states, a mathematical model of fuzzy measurements is used. It is shown that the developed method allows us to significantly increase the accuracy of reconstructing polarization states under the influence of quantum noise and decoherence processes.