Dynamic Matrix Geometry – Leveraging Self-Correlation and Quantum Computing

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Dynamic Matrix Geometry represents a novel approach to analyzing the geometric properties of dynamic matrices, utilizing self-correlation within the matrix and quantum computing principles. This paper proposes a method based on dynamically-transformed matrices and quantum computation to investigate the inherent geometric characteristics of dynamic matrices and subsequently apply this framework to numerical analysis and quantum computing. The core mechanism centers on the identification of geometric properties through dynamic matrix transformations, enabling the derivation of their behavior and facilitating accurate numerical simulations and quantum computations. This work represents a significant advancement in the field, offering a new perspective on the geometric analysis of dynamic systems.

DOI: 10.5281/zenodo.22299052

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