Quantum Entangled Matrix Adaptation for Complex Numerical Simulations

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum Entangled Matrix Adaptation (QEMA) represents a novel approach to complex numerical simulations by leveraging the inherent quantum properties of entanglement and superposition to dynamically adjust the parameters of quantum matrices. This research investigates the potential of QEMA to enhance the accuracy and efficiency of numerical computations, particularly within the context of advanced physics simulations. The core mechanism revolves around exploiting quantum entanglement to achieve a more precise and efficient computation by continuously refining the matrix's parameters during the simulation process. This paper details the theoretical foundation, experimental setup, and preliminary results demonstrating the effectiveness of QEMA in achieving significant improvements in numerical results compared to traditional methods. The study emphasizes the importance of quantum entanglement in fostering dynamic and adaptive parameter adjustments, ultimately offering a pathway towards more robust and efficient simulations.

DOI: 10.5281/zenodo.22578004

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