Quantum Decoherence Control for Complex System Optimization

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores the application of quantum decoherence control to optimize complex systems. Traditional optimization methods often struggle with the inherent complexity and dynamic nature of systems such as supply chains and transportation networks. We propose a novel approach leveraging the principles of quantum decoherence. Specifically, we introduce the concept of "decoherence interventions," strategically applied during system operation to manipulate parameters and mitigate negative impacts, ultimately leading to dynamic optimization. The core idea is to exploit the controllable nature of decoherence – a fundamental quantum phenomenon – to achieve a level of precision not attainable with classical methods. This work lays the groundwork for a new paradigm in optimization, potentially unlocking significant improvements in system performance and resilience. The theoretical framework presented provides a foundation for future research exploring the practical implementation and scalability of this technique. We present a mathematical model demonstrating the core principles and illustrate the potential for adaptive control strategies.

DOI: 10.5281/zenodo.22337044

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