Quantum Hidden Matrix

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Hidden Matrix (QHM) is a novel approach to linear algebra computation leveraging quantum mechanics and the concept of quantum entanglement. This paper explores the potential of QHM to significantly accelerate linear algebra operations and enhance the capture of quantum entanglement, offering a potential paradigm shift in computational efficiency and accuracy. The core claim is that by utilizing quantum entanglement to manipulate and accelerate linear algebra calculations, we can achieve a substantial improvement over classical methods, particularly in scenarios involving complex calculations and sensitive data.

DOI: 10.5281/zenodo.22277292

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