Quantum Entangled Matrix Encoding: A Dynamic Adaptation Strategy

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum Entangled Matrix Encoding (QEM) presents a novel approach to quantum computation by dynamically adjusting the encoding parameters of quantum matrices based on the underlying quantum properties. This dynamic adaptation is achieved through a specialized algorithm designed to leverage quantum phenomena like entanglement and superposition. The core mechanism hinges on a carefully constructed encoding scheme that evolves in response to these quantum effects. This research explores the potential of QEM to enhance quantum computation's efficiency and stability by intelligently tailoring the encoding process. This paper introduces a robust framework for QEM, detailing its theoretical foundation, implementation, and preliminary experimental validation.

DOI: 10.5281/zenodo.22242746

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