Title: Quantum-Inspired Algorithms for Optimal Control in Stochastic Systems

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum-inspired algorithms offer a promising avenue for enhancing the performance of optimal control in stochastic systems, particularly those exhibiting complex and uncertain dynamics. This paper investigates the potential of incorporating quantum-like principles – specifically superposition and entanglement – into standard control techniques to mitigate the inherent challenges of these systems. We present a novel framework for adapting conventional control methods by leveraging these principles, demonstrating improvements in performance through simulation and analysis. The core claim focuses on creating algorithms that effectively handle the inherent randomness and sensitivity of stochastic systems.

DOI: 10.5281/zenodo.22187061

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