基于量子纠缠的量子态预测的动态匹配

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum state prediction method based on quantum entanglement, aiming to enhance prediction accuracy through dynamic matching of quantum states. We propose a technique that leverages the unique properties of entanglement to dynamically adjust the state of a quantum system, allowing for a more refined and accurate assessment of its future states. The core mechanism involves employing a controlled-phase evolution of the system's quantum state, guided by entanglement, to achieve a higher fidelity of state prediction. This approach offers a significant advancement in the field of quantum state estimation, potentially unlocking new capabilities in quantum information processing and analysis. The paper details the theoretical framework, implementation details, and preliminary experimental results demonstrating the effectiveness of the proposed method.

DOI: 10.5281/zenodo.22301726

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