A. E. Tolstobrov, Sh. V. Kadyrmetov, G. P. Fedorov, S. V. Sanduleanu, V. B. Lubsanov, D. A. Kalacheva, A. N. Bolgar, A. Yu. Dmitriev, E. V. Korostylev, K. S. Tikhonov, O. V. Astafiev
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引用次数: 0
Abstract
This paper is devoted to the use of quantum integrated circuits based on superconducting artificial atoms to solve quantum machine learning problems. The process of designing such chips is de- scribed in detail, including the selection of the most important geometric parameters of the device, as well as numerical calculations of electromagnetic characteristics. The process of controlling a quantum integrated circuit is described. Much attention is paid to the implementation of single- and two-qubit operations. The qubit state readout procedure is also described. A brief introduction into the field of quantum machine learning is given. An algorithm that makes it possible to solve multilabel classification problems using quantum integrated circuits is described. The selection of optimal quantum circuits for the implementation of this algorithm is made using numerical simulations. The operation of the algorithm is demonstrated by the example of standard datasets. Obtained experimental results are compared with the results of theoretical calculations.
期刊介绍:
Radiophysics and Quantum Electronics contains the most recent and best Russian research on topics such as:
Radio astronomy;
Plasma astrophysics;
Ionospheric, atmospheric and oceanic physics;
Radiowave propagation;
Quantum radiophysics;
Pphysics of oscillations and waves;
Physics of plasmas;
Statistical radiophysics;
Electrodynamics;
Vacuum and plasma electronics;
Acoustics;
Solid-state electronics.
Radiophysics and Quantum Electronics is a translation of the Russian journal Izvestiya VUZ. Radiofizika, published by the Radiophysical Research Institute and N.I. Lobachevsky State University at Nizhnii Novgorod, Russia. The Russian volume-year is published in English beginning in April.
All articles are peer-reviewed.