Core Claim: Utilizing topological field descriptions of quantum entanglement, develop a precise calculation method for quantum entanglement states, and perform high-precision prediction.

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement is a fundamental phenomenon with profound implications for quantum information processing. Accurate prediction of entangled states is crucial for various applications, including quantum cryptography and quantum computation. Traditional approaches to entanglement analysis often rely on complex mathematical models and approximations, limiting the precision of predictions. This paper proposes a novel computational framework based on the dynamic evolution of topological fields to precisely predict quantum entanglement states. We introduce a novel method that directly incorporates probability distributions as parameters within the topological field, enabling a more intuitive and accurate simulation of entanglement dynamics. The system is designed to handle the inherent uncertainties in quantum systems, offering a significant advancement over existing techniques. The core mechanism involves a continuous, iterative process of mapping probability distributions to the topological field, allowing for high-precision prediction of entangled state properties. This approach has the potential to dramatically improve the fidelity of entanglement analysis and contribute to more reliable quantum algorithms. We present experimental validation demonstrating the effectiveness of this approach, highlighting its advantages and limitations.

DOI: 10.5281/zenodo.22193073

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