Quantum Association Matrix: A Novel Approach to Accelerated Quantum Computation

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Association Matrix (QAM) is a proposed algorithm leveraging the principles of quantum entanglement to revolutionize the efficiency of quantum computation. This paper investigates the potential of utilizing entanglement to accelerate matrix operations, offering a novel approach to quantum data storage and retrieval. The core mechanism centers around the controlled evolution of entangled states to achieve faster computations and data transfer. This research explores the theoretical underpinnings of QAM, detailing the mathematical framework and potential implementation challenges. The paper concludes by outlining the key contributions and future research directions, emphasizing the significance of this algorithm for advancing quantum computing capabilities.

DOI: 10.5281/zenodo.22266498

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