基于自适应的量子纠缠建模

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum entanglement modeling, employing an adaptive parameter adjustment technique to simulate the dynamic evolution of entangled states. Traditional methods often struggle with the complexities of entanglement, requiring extensive and computationally demanding simulations. Our proposed method dynamically adjusts parameters to capture the intricate interplay between the entangled particles, offering a more intuitive and efficient representation of this phenomenon. We demonstrate the efficacy of this approach through a series of illustrative examples, showcasing its ability to accurately predict and analyze entanglement behavior. The core mechanism focuses on iteratively refining parameters based on the observed entanglement dynamics, fostering a deeper understanding of the underlying quantum mechanics. We aim to improve the interpretability of entangled states and provide a practical tool for studying entanglement phenomena.

DOI: 10.5281/zenodo.22185558

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