Dynamic Adaptive Topological Theory for Quantum Computing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of dynamic adaptive topological theory for quantum computing, aiming to enhance the efficiency of quantum computation through a novel implementation. We propose a framework that leverages quantum computation's unique properties to model and simulate complex topological phenomena, offering a pathway to accelerate research in this rapidly evolving field. The core mechanism involves constructing a dynamically adaptive topological model using quantum algorithms, which are then integrated with quantum computation to achieve significant speedups. This work presents a conceptual framework and preliminary results demonstrating the feasibility of this approach, highlighting its potential to transform quantum computation.

DOI: 10.5281/zenodo.22205075

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