基于自适应的量子拓扑扩展算法

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum information theory offers a paradigm shift towards fundamentally powerful computation, surpassing classical computing by enabling complex quantum algorithms. However, the limited number of qubits and their inherent fragility often restrict the scalability of quantum computations. This paper introduces a novel approach to quantum information expansion and encoding – a "Quantum Topology Extension Algorithm" (QTEA) – that leverages the unique properties of quantum entanglement and topology to significantly increase the storage and processing capabilities of quantum systems. We propose a self-adaptive algorithm that dynamically adjusts the quantum state to maximize the fidelity of quantum information, addressing limitations of existing quantum technologies. The core mechanism involves a continuous evolution of the quantum state through a carefully designed topological transformation, which enhances the robustness against decoherence. This research explores the potential of QTEA to overcome current bottlenecks in quantum computing, paving the way for a more efficient and versatile quantum future.

DOI: 10.5281/zenodo.22155383

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