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Dynamic Chaos Field Theory: A Quantum Modeling Approach

Jincheng Zhang

Published Sep 5, 2026• 0 citations
Publisher

Abstract

Dynamic Chaos Field Theory (DCFT) presents a novel framework for modeling chaotic systems by incorporating quantum entanglement. This paper explores the potential of combining DCFT with quantum computation to achieve precise simulation and prediction of chaotic behavior. We propose a method based on establishing a dynamic chaos field through quantum entanglement, which offers a fundamentally different approach compared to traditional deterministic models. This work investigates the implications of this approach, examining the potential for quantum computation to significantly enhance the accuracy and efficiency of chaotic system simulations. We detail the core mechanism of utilizing quantum entanglement to represent and manipulate the dynamics of the system, and discuss the challenges and opportunities associated with this approach. The paper concludes with a discussion of the research's potential impact on the field of chaos theory and quantum computing.

DOI
10.5281/zenodo.22327650

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Dynamic Chaos Field Theory (DCFT) presents a novel framework for modeling chaotic systems by incorporating quantum entanglement. This paper explores the potential of combining DCFT with quantum computation to achieve precise simulation and prediction of chaotic behavior. We propose a method based on establishing a dynamic chaos field through quantum entanglement, which offers a fundamentally different approach compared to traditional deterministic models. This work investigates the implications of this approach, examining the potential for quantum computation to significantly enhance the accuracy and efficiency of chaotic system simulations. We detail the core mechanism of utilizing quantum entanglement to represent and manipulate the dynamics of the system, and discuss the challenges and opportunities associated with this approach. The paper concludes with a discussion of the research's potential impact on the field of chaos theory and quantum computing.
This paper explores the potential of utilizing chaotic dynamical systems to develop quantum algorithms for complex system simulation and prediction. Traditional numerical methods often struggle with the inherent complexity and non-linearity of these systems. This research proposes a novel quantum algorithm leveraging quantum entanglement and superposition to achieve a higher level of fidelity and precision in simulating and forecasting dynamical phenomena. The core mechanism centers on constructing a quantum model based on chaotic dynamics, utilizing quantum entanglement to represent and manipulate the system's state, and leveraging quantum superposition for enhanced computational representation. This paper details the algorithm's design, mathematical framework, and preliminary results demonstrating the potential for improved simulation accuracy compared to classical approaches. We investigate the impact of specific parameter choices and quantum circuit designs on the algorithm's performance. The paper concludes with a discussion of future research directions and potential applications.
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