AUTOMATION OF MOISTURE CONTROL DURING MASSECUITE DRYING

Abstract

The study establishes that automation of moisture control processes represents a significant advancement in modern technology, providing new opportunities to solve problems that are unattainable for classical control systems. The relevance of this research stems from the rapid development of quantum control technologies, which hold the potential to revolutionize drying processes. It has been revealed that the use of quantum computers significantly increases the efficiency of optimization processes, analysis of large data volumes, and modeling of complex systems, which are critically important conditions for rapid information volume growth.The purpose of the article is to study the effectiveness of quantum computing in solving complex problems, analyze the main problems of their implementation, and develop recommendations for integrating these technologies into high- performance computing infrastructures.Methodology. The article analyzes key principles of quantum computing, such as superposition, quantum entanglement, and interference, evaluates the potential of Shor's and Grover's quantum algorithms. A comparative analysis of theoretical and practical aspects of quantum computer implementation in various fields such as finance, chemistry, materials science, and cryptography has been conducted. Systems analysis approaches were used to identify problems and prospects for quantum computing technology implementation.Scientific novelty. The scientific novelty of the work lies in a comprehensive analysis of applied aspects of quantum computing usage, including highlighting new innovative and infrastructural problems faced by this development. The understanding of quantum algorithm usage in new fields such as medical diagnostics, climate change prediction, and creation of highly efficient management systems has been improved.Conclusion. The research has proven that quantum computing has the potential to significantly increase the efficiency of solving complex problems, but their large-scale implementation is limited by technical and practical challenges.Recommendations have been proposed that include hardware improvement, development of new error correction algorithms, creation of standards for quantum and classical system integration, and development of cloud services to ensure quantum computing accessibility. Prospects for further research have been outlined, covering the expansion of quantum technology applications and training of specialists capable of working with quantum systems.