Quantum Geometric Geometry of Hidden Matrix

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum Geometric Geometry of Hidden Matrix explores the intersection of quantum mechanics and geometric analysis, proposing a novel algorithmic approach to generate quantum states with precisely defined distributions. The core mechanism centers around a dynamically adaptive algorithm that leverages the inherent geometric properties of random matrices to produce states exhibiting tailored characteristics. Research indicates significant potential within image processing, machine learning, and other fields, offering a pathway to enhanced algorithmic optimization.

DOI: 10.5281/zenodo.22445219

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