英文摘要 One of the core challenges in quantum mechanics is the lack of a unified, self-consistent, and phenomenon-independent axiomatic methodological framework. This paper proposes the "constraint-freedom" axiomatic paradigm to fill this gap. The paradigm constructs universal rules for quantum system evolution through three core axioms—the Rigid Constraint Axiom, the Flexible Degree of Freedom Axiom, and the Global Correlation Axiom: rigid constraints define the boundaries of possible states of the system, flexible degrees of freedom describe dynamic choices within these boundaries, and global correlation explains non-local correlations in composite systems. This paradigm is fully self-consistent with the author's proposed Bian's Unified Field Formula (BUFF) and its derived "soft energy packet" ontology, providing a consistent methodological explanation for phenomena such as double-slit interference, quantum tunneling, and entanglement swapping. Reanalysis of CERN quark collision experiment data and "Micius" satellite entanglement data shows that the paradigm's prediction error ≤ 3%. More importantly, it derives two unique, testable new effects: the tunneling probability dependent on constraint gradient, and the degree of freedom saturation effect on entanglement fidelity. This work achieves a leap from "phenomenon explanation" to "rule construction," providing a clear, self-consistent, and operable methodological foundation for quantum mechanics. 中文摘要 量子力学的核心挑战之一在于缺乏统一、自洽且独立于现象的公理化方法论框架。本文提出“约束-自由”公理化范式以填补这一空白,该范式通过三大核心公理——刚性约束公理、柔性自由度公理、全局关联公理,构建量子系统演化的普适规则:刚性约束界定系统可能状态的边界,柔性自由度描述边界内的动态选择,全局关联解释复合系统的非局域关联。该范式与作者提出的卞氏统一场公式(Bian's Unified Field Formula, BUFF)及其导出的“软能量包”本体论完全自洽,为双缝干涉、量子隧穿、纠缠交换等现象提供了一致的方法论解释。重新分析欧洲核子研究组织(CERN)夸克碰撞实验与“墨子号”卫星纠缠实验数据,结果显示范式预测误差≤3%。更重要的是,其推导出两个独特的可检验新效应:约束梯度依赖的隧穿概率、自由度饱和对纠缠保真度的影响。本文实现了从“现象解释”到“规则构建”的跨越,为量子力学提供了清晰、自洽且可操作的方法论基础。
Building similarity graph...
Analyzing shared references across papers
Loading...
BIAN Zhenfeng
Building similarity graph...
Analyzing shared references across papers
Loading...
BIAN Zhenfeng (Tue,) studied this question.
www.synapsesocial.com/papers/694027632d562116f28ffe28 — DOI: https://doi.org/10.5281/zenodo.17785311