DEVELOPMENT AND STUDY OF A CONTROL MODEL BASED ON NOISE-RESISTANT QUANTUM COMPUTING, SUPPRESSION AND CORRECTION OF ERRORS IN QUANTUM COMPUTING
S. M. Gushanskiy, V.S. Potapov · Известия Южного федерального университета. Технические науки · 2023
In recent years, quantum information systems have attracted increasing attention of researchersin the field of computer science and physics. However, the introduction and practicalapplication of quantum computing is limited by the influence of noise and errors that occur inquantum systems. To implement effective control and improve the reliability of quantum informationsystems, it is necessary to develop methods that can suppress and correct errors in theprocess of quantum computing. The purpose of this work is to develop and study a control modelbased on noise-immune quantum computing, as well as methods for suppressing and correctingerrors in quantum computing. The paper proposes a combination of different approaches, includingthe use of error correction codes, noise suppression algorithms, and methods for optimal controlof quantum information systems. In the course of the study, a control model was developedthat allows efficient processing of information in quantum systems, taking into account the presenceof noise and errors. Experiments were carried out using real quantum devices to evaluate theeffectiveness of the proposed model. The experimental results show that the developed method cansignificantly improve the reliability and accuracy of quantum computing. The proposed controlmodel based on noise-immune quantum computing and methods for suppressing and correctingerrors represent a significant contribution to the development of quantum information systems.Further development and optimization of the proposed approach can lead to the creation of morereliable and efficient quantum systems capable of solving complex computational problems.