基于自适应的混沌域的量子计算算法

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel quantum computing algorithm based on a dynamically evolving chaotic field, termed a "Chaos Field." The algorithm leverages the inherent properties of chaotic systems to enhance computational efficiency and robustness, particularly in the face of data noise. We propose a quantum circuit design that automatically adapts to the input data, optimizing for performance and minimizing sensitivity to environmental fluctuations. The core mechanism centers around a dynamically adjusted Chaos Field, allowing for efficient manipulation of quantum states and exploration of complex quantum systems. The proposed algorithm offers a promising approach to address limitations of traditional quantum computing and opens avenues for novel applications in complex simulations and data analysis.

DOI: 10.5281/zenodo.22480774

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