Dynamic Quantum State Mapping

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel dynamic quantum state mapping algorithm designed to dynamically adjust quantum system states based on input data. Traditional quantum state mapping approaches are often static, limiting the algorithm's adaptability. This work proposes a method that iteratively refines the quantum state representation by incorporating input data, leading to more precise and efficient computations. The core mechanism centers around a feedback loop that continuously updates the state vector based on a defined transformation function, ensuring optimal performance across a range of input variations. The algorithm's effectiveness is demonstrated through theoretical analysis and preliminary experimental validation, highlighting its potential for significant advancements in quantum computing.

DOI: 10.5281/zenodo.22189080

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