Title: Adaptive Quantum Topology Transformation Algorithm

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum topology, a fascinating field of physics, offers a unique framework for understanding and manipulating quantum systems. Traditional quantum transformations, however, often struggle to effectively model and analyze complex topological structures. This paper introduces an innovative algorithm, the Adaptive Quantum Topology Transformation Algorithm (AQTTA), designed to address this challenge. AQTTA leverages the inherent dynamic nature of quantum topology, employing self-adaptive transformation parameters to optimize the calculation process and significantly enhance computational efficiency. This novel approach distinguishes itself from existing quantum transformation methods through its ability to dynamically adjust transformation parameters based on the evolving topology, enabling more robust and efficient modeling of complex quantum systems. The core mechanism centers around the exploitation of quantum topology's inherent responsiveness, leading to a fundamentally different algorithmic strategy. The paper details the algorithm's design, performance analysis, and potential applications across various quantum computational tasks.

DOI: 10.5281/zenodo.22222312

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