DEVELOPMENT AND STUDY OF A CONTROL MODEL BASED ON NOISE-RESISTANT QUANTUM COMPUTING, SUPPRESSION AND CORRECTION OF ERRORS IN QUANTUM COMPUTING

Abstract

In recent years, quantum information systems have attracted increasing attention of researchers
in the field of computer science and physics. However, the introduction and practical
application of quantum computing is limited by the influence of noise and errors that occur in
quantum systems. To implement effective control and improve the reliability of quantum information
systems, it is necessary to develop methods that can suppress and correct errors in the
process of quantum computing. The purpose of this work is to develop and study a control model
based on noise-immune quantum computing, as well as methods for suppressing and correcting
errors in quantum computing. The paper proposes a combination of different approaches, including
the use of error correction codes, noise suppression algorithms, and methods for optimal control
of quantum information systems. In the course of the study, a control model was developed
that allows efficient processing of information in quantum systems, taking into account the presence
of noise and errors. Experiments were carried out using real quantum devices to evaluate the
effectiveness of the proposed model. The experimental results show that the developed method can
significantly improve the reliability and accuracy of quantum computing. The proposed control
model based on noise-immune quantum computing and methods for suppressing and correcting
errors 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 more
reliable and efficient quantum systems capable of solving complex computational problems.