Quantum measurement classification with qudits

This paper presents a hybrid classical-quantum program for density estimation and supervised classification. The is implemented as quantum circuit in high-dimensional computer simulator. We show that the proposed protocols allow to estimate probability functions make predictions learning manner. model can be generalized find expected values of matrices computers. Experiments on various data sets are presented. Results method viable strategy implement classification computer.