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Dynamic Adaptive Quantum State Manipulation Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper introduces a novel dynamic adaptive quantum state manipulation algorithm. Traditional quantum state manipulation approaches often rely on static operations, limiting the algorithm's flexibility and potential for efficient manipulation. Our algorithm leverages a dynamic parameter adjustment mechanism to proactively respond to quantum state changes, enabling a significantly enhanced capability for controlling quantum states. We detail the core mechanism of this algorithm, outlining its computational steps and the resulting advantages over existing approaches. The paper demonstrates the algorithm's effectiveness through theoretical analysis and preliminary experimental validation, showcasing its ability to achieve superior control over quantum states compared to conventional methods. The core claim emphasizes the algorithm's ability to dynamically adjust quantum state parameters based on observed changes, leading to enhanced manipulation capabilities. We explore the potential applications of this algorithm in various quantum computing scenarios, highlighting its advantages in addressing key challenges in quantum information processing.

DOI
10.5281/zenodo.22186496

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