Geometric Matrix Dynamics & Quantum Computing Integration

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the integration of geometric matrix dynamics with quantum computing to achieve high-precision and high-efficiency geometric computations. Traditional methods often struggle to meet stringent computational requirements. This study proposes a novel algorithmic framework that leverages quantum computing to accelerate geometric matrix calculations and dynamically adjusts the matrix structure, resulting in enhanced accuracy and performance. We detail the design of this system, emphasizing the interplay between quantum acceleration and adaptive matrix manipulation. This work aims to push the boundaries of geometric computation, offering a potential paradigm shift for complex geometric problems.

DOI: 10.5281/zenodo.22296154

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