##拓扑量子纠缠的自适应参数调整
Jincheng Zhang
Abstract
Quantum entanglement, a fundamental phenomenon of quantum mechanics, holds immense potential for revolutionizing computation and communication. However, harnessing this potential requires precise control over entangled states, a challenge that traditional approaches often struggle with. This paper introduces a novel algorithm, "Adaptive Quantum Entanglement Adjustment" (AQEA), that dynamically adjusts the strength of entangled states based on environmental changes. AQEA leverages the non-locality inherent in quantum systems to enable real-time modeling and adjustment, eliminating the need for explicit parameter tuning. We demonstrate the efficacy of AQEA through simulations and preliminary experimental results, highlighting its ability to achieve significantly enhanced quantum state fidelity and responsiveness compared to existing algorithms. The core mechanism centers around a dynamically adaptive "dynamic self-adjusting parameter" which exploits the instantaneous changes induced by the quantum state during measurement. This offers a fundamentally new approach to controlling and manipulating entangled systems.