自适应拓扑映射与量子纠缠计算的融合

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the integration of adaptive topology mapping with quantum entanglement computation. Traditional quantum computation relies heavily on the manipulation of quantum states, often requiring precise control and calibration. We propose a novel approach that dynamically adjusts the topology of a quantum system, leveraging the unique properties of quantum entanglement. This fusion allows for the creation of a system capable of complex calculations with enhanced efficiency and adaptability. The core mechanism involves the implementation of an adaptive topology mapping scheme, which intelligently evolves the system's state to optimize entanglement dynamics and facilitate a novel form of quantum computation. We discuss the potential benefits of this integrated system, including improved error correction, enhanced entanglement generation, and the ability to tackle problems currently intractable for conventional quantum algorithms.

DOI: 10.5281/zenodo.22184045

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