##混沌域的自适应量子化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the potential of utilizing a dynamically adaptive quantum state evolution within a chaotic domain to enhance the stability and performance of quantum systems. Traditional quantum computing often relies on fixed initial states, which struggles to effectively address environmental noise and non-linear effects. We propose a novel approach – a 'Chaos-Driven Quantum State Modification' – which dynamically adjusts quantum particle states based on environmental dynamics, thereby improving quantum system robustness and efficiency. The core claim is that this self-adaptive process, driven by a chaotic domain, can significantly boost quantum computational capabilities. This work explores the implementation of a 'Chaos-Driven Quantum State Modification' framework, detailing its mechanism, advantages, and potential applications within the context of quantum computing.

DOI: 10.5281/zenodo.22198899

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