4 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
The influence of quantum noise on the Grover algorithm and quantum Fourier transform: quantum operations theory approach
Yu. I. Bogdanov, A. Yu. Chernyavskiy, B. I. Bantysh +2
The method of noisy multiqubit quantum circuits modeling is proposed. The analytical formulas for the dependence of quantum algorithms accuracy on qubits count and noise level are…