Dynamic Quantum Entanglement Generation

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, holds immense promise for revolutionary advancements in computation and information processing. However, harnessing its full potential is hampered by the challenges of maintaining and manipulating entangled states. This paper introduces a novel dynamic quantum entanglement generation algorithm designed to address these challenges by intelligently constructing entanglement structures, optimizing for efficiency and robustness. We propose a mechanism that leverages the inherent self-adaptive nature of quantum entanglement to autonomously generate more effective entanglement configurations, ultimately enhancing the performance of quantum algorithms. This paper details the core concepts, the proposed algorithm's architecture, and preliminary results demonstrating its efficacy in generating enhanced entanglement. The focus is on improving the scalability and efficiency of quantum computations, moving beyond static entanglement generation approaches.

DOI: 10.5281/zenodo.22320448

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