自适应拓扑几何的量子计算验证
Jincheng Zhang
Abstract
Quantum computing is rapidly advancing, and its potential for complex data processing and secure communication hinges on the manipulation of quantum states. This paper explores the integration of adaptive topology, a novel approach to quantum information processing, with quantum computation. We propose an algorithm that dynamically adjusts quantum bit (qubit) configurations based on entanglement dynamics, aiming to enhance the robustness of quantum systems and improve data storage efficiency. The core claim is that this algorithmic framework, leveraging quantum entanglement, offers a significant advancement over existing verification methods by addressing limitations in quantum error correction and information density. This work details the design of a dynamic topology optimization algorithm and its potential impact on quantum computation.