Title: Adaptive Topological Transformation Quantum Computing Model (QATQ)

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing model, QATQ, based on adaptive topological transformation techniques. We propose a framework that dynamically adjusts the quantum state evolution to simulate system dynamics and leverages topological structures for optimization. The core mechanism focuses on combining quantum algorithms with adaptive topological transformations to improve efficiency and address the challenges of traditional quantum algorithms. This research explores the potential of QATQ to enhance the performance of various quantum computations, offering a fundamentally different approach to quantum system modeling. The paper details the methodology, provides a theoretical analysis, and presents preliminary experimental results demonstrating the efficacy of the QATQ approach. The study aims to advance the state of quantum computing by introducing a dynamic and adaptive method.

DOI: 10.5281/zenodo.22608671

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