Quantum Decoherence Control Theory and Dynamical Systems of Complex Systems

Jincheng Zhang

Published Aug 28, 2026• 0 citations

Abstract

This paper explores the application of quantum decoherence theory to the control of complex classical systems. We propose a novel framework leveraging the probabilistic nature of decoherence to achieve precise control and prediction of complex system dynamics. The core mechanism involves stochastic control, where noise injection and coupling strength are optimized to steer the system towards a desired evolution path. Unlike traditional approaches to complex system analysis and control, this work introduces a fundamentally new perspective by translating core quantum concepts – specifically decoherence – into the domain of classical complexity. The theoretical development presents a method for managing and manipulating complex systems by understanding and mitigating the effects analogous to decoherence, offering potential advancements in fields ranging from chaos control to network dynamics. The central aim is to provide a robust and adaptable strategy for influencing the behavior of intricate systems, moving beyond purely deterministic models. ---

DOI: 10.5281/zenodo.22135921

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