Machine learning methods have proved to be useful for the recognition of patterns in
statistical data. The measurement outcomes are intrinsically random in quantum physics …

Quantum tomography has come a long way from early reconstructions of Wigner functions
from projections along quadratures to the full characterization of multipartite systems. Now, it …

Optical quantum memory is one of the basic elements of quantum information systems.
However, the possibilities of its application in such systems sometimes can hardly be …

Quantum tomography makes it possible to obtain a comprehensive information about certain
logical elements of a quantum computer. In this regard, it is a promising tool for debugging …

In this work we present an algorithm of building an adequate model of polarizing quantum
state measurement. This model takes into account chromatic aberration of the basis change …

We consider realistic measurement systems, where measurements are accompanied by
decoherence processes. The aim of this work is the construction of methods and algorithms …

Multilevel quantum states (qudits) represent a promising platform for scalable quantum
computing. In this paper, we present a method for precisely controlling such systems using …

In the current work we address the problem of quantum process tomography (QPT) in the
case of imperfect preparation and measurement of the states which are used for QPT. The …

The polarization echo effect is demonstrated, which is manifested in the identity of a
composite polarization transformation irrespective of the spectrum of the input polarization …

Using numerical simulation methods that take into account the dead time effect, algorithms
are developed to calculate the detector's response for photon fluxes with different photon …