基于量子态的动态参数调整机制

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel dynamic parameter adjustment mechanism based on quantum state adaptation. Traditional parameter adjustment methods often rely on static adjustments, limiting the algorithm's flexibility and hindering its ability to adapt to varying data or environments. We propose a system where the algorithm's parameters are dynamically adjusted based on the inherent quantum state of the data being processed. This quantum state adaptation allows for a more nuanced and responsive approach to parameter optimization, resulting in enhanced algorithm efficiency and stability. The system leverages the principles of quantum mechanics – specifically, the superposition and entanglement – to achieve this dynamic adjustment, offering a significant departure from conventional approaches. We detail the design of the quantum state monitoring and adaptation framework, exploring its implications for various optimization tasks.

DOI: 10.5281/zenodo.22634801

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