Core Claim: Design a quantum state self-avoidance method based on dynamic topology, leveraging the adaptive properties of quantum topology to achieve quantum state self-avoidance, thereby improving quantum state stability.

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum state self-avoidance is a critical challenge in quantum computing, aiming to stabilize quantum states against decoherence and environmental influences. This paper explores a novel approach leveraging dynamic topology to address this challenge. We propose a framework that dynamically adjusts the quantum state's avoidance behavior through transformations based on the quantum state's evolving dynamics. The core mechanism involves analyzing and adapting the quantum state's topology to mitigate potential issues, resulting in improved robustness and stability. This method offers a significant departure from traditional static approaches, promoting adaptability and enhanced resilience in quantum systems. We demonstrate the effectiveness of this framework through a series of simulations and analysis, showcasing its potential for achieving substantial improvements in quantum state stability. The proposed method's ability to automatically fine-tune the avoidance mechanism makes it a promising avenue for advancing the development of practical quantum computing architectures.

DOI: 10.5281/zenodo.22294798

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