Quantum Entanglement Matrix Operations Dynamic Mapping

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel dynamic mapping algorithm based on quantum entanglement, designed to accelerate matrix computations and handle more complex matrix operations than traditional methods. The core innovation lies in leveraging the unique properties of quantum entanglement to achieve faster and more efficient calculations. We introduce a framework utilizing entangled qubit states to represent and manipulate matrix elements, enabling a significant reduction in computational complexity. The algorithm's effectiveness is demonstrated through theoretical analysis and preliminary experimental validation using a simplified matrix multiplication task. The research explores the potential of entanglement to overcome limitations in classical matrix operations, offering a promising avenue for advancements in numerical linear algebra and related fields.

DOI: 10.5281/zenodo.22193381

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