Dynamic Topology Fields and Quantum Computing Integration

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the synergistic integration of topology fields and quantum computing, aiming to achieve precise modeling of complex geometric shapes and optimize quantum algorithm efficiency through the utilization of topology fields' inherent properties. We propose a novel quantum field model based on quantum entanglement, and design a specific quantum algorithm leveraging the "self-similarity" characteristic of topology fields. This approach offers a fundamentally new computational paradigm with the potential to significantly enhance quantum algorithm performance. The core mechanism relies on meticulously crafting an algorithm that exploits the geometry inherent within the topology field model to accelerate computations. We demonstrate the effectiveness of this approach through a focused analysis of specific quantum algorithms.

DOI: 10.5281/zenodo.22194529

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