基于量子自旋的非线性系统动力学模型

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel approach to simulating the dynamics of complex systems utilizing the unique properties of quantum spin. We develop a non-linear system dynamics model predicated on the behavior of quantum spin, aiming to capture intricate patterns and behaviors inherent in quantum systems. The core mechanism of this model leverages the inherent quantum properties of spin to provide a more accurate representation of these dynamic systems. The model's potential lies in its ability to simulate phenomena currently challenging for traditional approaches, offering a pathway to deeper insights into quantum phenomena. This work investigates the implications of incorporating quantum spin into a system-level model, exploring the potential for enhanced simulation fidelity and a more comprehensive understanding of complex interactions.

DOI: 10.5281/zenodo.22465321

Related papers

基于量子纠缠的系统动力学模型

Jincheng Zhang

This paper presents a novel system dynamics model based on quantum entanglement, aiming to provide a fundamentally different approach to simulating complex systems. Traditional system dynamics models often rely on classical physics, which can struggle with accurately capturing the intricate dynamics of many real-world systems. This research introduces a quantum entanglement-driven framework, leveraging the unique properties of entanglement to model system evolution and predict future states. The core mechanism involves establishing a dynamic state representation based on entanglement, enabling a more precise and insightful simulation of complex systems compared to classical approaches. The model's potential lies in its ability to capture subtle correlations and emergent behaviors arising from entanglement, offering a new perspective on system dynamics. This work explores the initial implications of this model and outlines avenues for future development.

Sep 1, 20260 citations

基于量子纠缠的复杂系统动力学模型

Jincheng Zhang

This paper investigates the application of quantum entanglement to enhance the modeling of complex systems, specifically focusing on simulating intricate dynamic behaviors. We propose a novel dynamic system modeling framework predicated on the unique properties of quantum entanglement, aiming to significantly improve simulation accuracy and represent the system's inherent interconnectedness. The core mechanism involves leveraging entanglement to overcome limitations of classical simulation techniques, providing a pathway for more sophisticated modeling. This work presents a foundational structure for exploring and utilizing quantum entanglement within system dynamics, with a focus on its potential to overcome the constraints of traditional methods.

Aug 29, 20260 citations

基于量子纠缠的拓扑动力学建模

Jincheng Zhang

This paper explores the application of quantum entanglement to model complex systems, focusing on the development of a novel topological dynamic model. Traditional approaches to simulating complex systems often rely on classical physics, limiting their ability to accurately capture intricate dynamics. This research investigates the potential of harnessing quantum entanglement to enhance the simulation of biological molecular reactions and other systems exhibiting dynamic, interconnected behavior. We propose a new model framework that explicitly incorporates quantum entanglement as a fundamental mechanism driving system evolution. This model aims to provide a more precise and insightful understanding of these systems by leveraging the unique properties of entanglement. The core claim is that this model offers a significant advancement in the representation and simulation of complex phenomena, particularly those involving intricate interactions and non-linearity. This work addresses the limitations of conventional methods by introducing a novel approach that directly quantifies and utilizes entanglement as a key component of the simulation process.

Sep 4, 20260 citations

基于量子纠缠的复杂系统模拟

Jincheng Zhang

This paper proposes a novel approach to complex system simulation utilizing the principles of quantum entanglement. Traditional simulation methods often struggle with accurately capturing intricate interactions within complex systems due to computational limitations and the inherent difficulty of representing quantum phenomena. We introduce a new method predicated on quantum entanglement, offering a pathway towards significantly improved modeling accuracy and the potential for simulating systems previously intractable using classical approaches. The core of this method lies in leveraging entanglement to establish a more fundamental and nuanced understanding of system dynamics. This paper details the theoretical framework, implementation of the core mechanism, and preliminary results demonstrating the method's potential for advancing complex system simulation. We discuss the challenges and future directions of this research.

Aug 31, 20260 citations

基于量子纠缠的非线性系统动力学模型

Jincheng Zhang

This paper explores the application of quantum entanglement to model non-linear systems, specifically focusing on the simulation of complex systems such as protein interactions. Traditional dynamic simulation methods often rely on classical physics, limiting their ability to accurately represent intricate behavior. We propose a novel model incorporating quantum entanglement as a key mechanism, aiming to enhance simulation precision and provide a deeper understanding of these systems. The core claim is that a quantum entanglement-based approach can unlock more accurate and detailed simulations compared to conventional methods. This work presents a theoretical framework and initial experimental investigation demonstrating the potential of this approach.

Sep 4, 20260 citations

自旋量子纠缠的拓扑控制 - 物理学模拟的精确化

Jincheng Zhang

This paper investigates the potential of utilizing self-spinning quantum entanglement for precise simulation and deep understanding of complex physical systems. We propose a novel control strategy based on the unique properties of entangled spins, aiming to overcome limitations of traditional physical simulation methods. The core mechanism centers on harnessing the non-classical correlations inherent in the system to achieve a level of accuracy unattainable through conventional approaches. The study utilizes a physics-based simulation framework to demonstrate the efficacy of this approach, highlighting its potential to significantly advance our comprehension of intricate physical phenomena. The research explores the challenges and opportunities associated with this approach, focusing on the development of robust control algorithms and the implementation of a scalable simulation framework. This work contributes to the burgeoning field of quantum-enhanced physics simulation.

Aug 31, 20260 citations