Quantum Machine Learning Dynamic Quantum State

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum Machine Learning (QML) has emerged as a transformative paradigm, offering the potential to revolutionize data analysis and machine learning. This paper explores a novel quantum machine learning framework, "Dynamic Quantum State," designed to address challenges associated with data distribution, noise, and non-linearity. We propose a mechanism leveraging quantum state manipulation to dynamically generate and optimize the search space, leading to smoother data distributions and enhanced resilience to perturbations. The core claim is that this framework enables efficient data handling and effective solution exploration, surpassing the limitations of conventional machine learning approaches.

DOI: 10.5281/zenodo.22201519

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