Quantum Entanglement Dynamics Algorithm Framework

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, offers the potential for instantaneous correlations between particles, a phenomenon that has profound implications for computation and information processing. This paper introduces a dynamic algorithm framework designed to harness this entanglement for accelerated quantum algorithm implementation. We propose a novel '纠缠路径' algorithm, leveraging the inherent properties of quantum entanglement to dynamically adjust quantum states and facilitate efficient optimization of complex quantum computations. The framework's core mechanism centers around creating and manipulating entangled states to achieve a '瞬时' (instant) optimization process, a crucial step in realizing the potential of quantum speedup. This research aims to provide a practical, computationally efficient approach to accelerating existing quantum algorithms and opening new avenues for quantum information processing.

DOI: 10.5281/zenodo.22301251

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