13 citations · 95 across the 25 of their papers we have counts for
4 papers · 1 filter
Machine learning methods in quantum computing theory
D. V. Fastovets, Yu. I. Bogdanov, B. I. Bantysh +1
Classical machine learning theory and theory of quantum computations are among of the most rapidly developing scientific areas in our days. In recent years, researchers investigate…
Quantum tomography based on principles of completeness, adequacy and fidelity
Yu. I. Bogdanov, N. A. Bogdanova, B. I. Bantysh +2
In this report we present a general approach for estimating quantum circuits by means of measurements. We apply the developed general approach for estimating the quality of superco…
The concept of weak measurements and the super-efficiency of quantum tomography
Yu. I. Bogdanova, N. A. Bogdanova, B. I. Bantysh +1
The quantum measurement procedure based on the Lorentz transformation formalism and weak perturbation of the system is considered. In the simple case of a single-qubit it turns out…
High-fidelity quantum tomography with imperfect measurements
B. I. Bantysh, D. V. Fastovets, Yu. I. Bogdanov
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 fuzzy…