Abstract
Quantum computing has emerged as a revolutionary technology, with the potential to solve complex computational problems far more efficiently than classical computing. In recent years, quantum computing has started to make significant strides in the field of control systems, where it holds the promise of enhancing computational power, optimization, and system design. This paper explores the application of quantum computing in control systems, specifically in areas such as optimization, state estimation, and dynamic system control. We discuss how quantum algorithms can be applied to improve the efficiency of control system design, the potential benefits of quantum-enhanced control systems, and the challenges that need to be addressed before full-scale implementation. The paper also provides insights into future research directions and the integration of quantum computing into control systems.
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