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Dynamic Topology Adaptive Quantum Computing Model

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper investigates the application of dynamic topology in quantum computing, proposing a novel model that dynamically adjusts the topology of a quantum system to enhance computational stability. Traditional quantum computing models often struggle with complex problems due to their static nature. We introduce a dynamic topology-based quantum computing model that utilizes the inherent properties of dynamic topology to achieve enhanced stability and computational capability. This research explores the potential of this approach to overcome limitations in current quantum algorithms.

DOI
10.5281/zenodo.22193045

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Quantum computing offers the potential for unprecedented computational power, but realizing this potential requires overcoming fundamental limitations in existing computational paradigms. This paper introduces a novel dynamic topology quantum computing adaptive learning algorithm, designed to dynamically adjust quantum system parameters in response to environmental changes. Traditional machine learning algorithms rely on pre-defined models, while this approach leverages the inherent adaptability of quantum topology to achieve enhanced scalability and flexibility. The algorithm's core mechanism involves utilizing the self-adaptive nature of quantum topology to iteratively refine the quantum system's state, leading to improved performance in complex quantum computations. We present a comprehensive theoretical analysis and initial experimental validation demonstrating the algorithm's efficacy in solving specific quantum algorithms.
This paper investigates the potential of adaptive topological quantum computing, a novel approach designed to enhance quantum algorithm capabilities and computational power through dynamic topological state manipulation. We propose a framework leveraging the inherent properties of topological quantum bits to enable complex computations and extend the reach of quantum computation. The core mechanism involves utilizing quantum topology to dynamically adjust qubit states, allowing for more versatile and powerful quantum operations. The research explores the design of such a system, highlighting its potential advantages over existing quantum computing paradigms. This work offers a new perspective on quantum computation, focusing on the intrinsic potential of topological structures and their adaptability.
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