Nonlinear Matrix Dynamics and Quantum Entanglement: A Theoretical Framework

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the potential synergy between nonlinear matrix dynamics and quantum entanglement, aiming to develop a novel matrix operation method based on dynamic conjugation. We investigate how incorporating quantum entanglement into the matrix transformation process could lead to enhanced computational efficiency and reveal novel implications for quantum computation and machine learning. The core mechanism focuses on establishing a dynamic equilibrium between the matrix's inherent linearity and the entangled state, ultimately aiming to unlock new algorithmic possibilities. This research investigates the potential for entanglement to influence the behavior of matrix operations, offering a theoretical foundation for future advancements in these fields.

DOI: 10.5281/zenodo.22616827

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