Nanosensor Technologies and Artificial Intelligence-Based Optimization Methods in Quantum Computing

The rapid development of modern information technologies provides for the creation of systems with higher computing power. Traditional computer systems are widely used to solve computational problems involving the processing of large and complex datasets. Owing to their enormous computational potential, quantum computers have become a major focus of scientific research. However, the practical implementation of quantum systems remains a significant challenge. External environmental factors, electromagnetic effects, temperature changes, and quantum decoherence can reduce the productivity of the system. Nanosensor technologies combined with artificial intelligence-based optimization methods provide promising solutions to these challenges. Nanosensors enable highly sensitive monitoring of environmental conditions surrounding quantum hardware. Artificial intelligence technologies analyze system behavior to reduce errors and improve performance. In this work, the application areas, advantages, and future development prospects of nanosensor technologies and artificial intelligence-based optimization methods in quantum computers are investigated.