基于自适应的量子态的动态参数调整

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper investigates a novel dynamic parameter adjustment mechanism for quantum systems, leveraging the inherent adaptability of quantum states. We propose a system that automatically adjusts quantum parameters based on observed correlations and evolves within a defined dynamic range, enabling enhanced efficiency in quantum computation and simulation. The core concept centers around the principle of dynamically shifting the quantum state to optimize computational performance. The proposed approach offers a significant advancement over existing parameter optimization techniques by effectively adapting to the system's unique characteristics. We detail the mathematical framework and implementation of the proposed algorithm, showcasing its potential for accelerating quantum algorithms and improving simulation fidelity. The results demonstrate substantial improvements in computational performance across various quantum tasks, validating the efficacy of the dynamic parameter adjustment strategy.

DOI: 10.5281/zenodo.22153720

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