Quantum Adaptive Matrix

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum Adaptive Matrix (QAM) is a novel approach to matrix computation that leverages the principles of quantum entanglement to achieve unprecedented levels of precision and low latency. This paper introduces the concept of a "Quantum Adaptive Matrix" – a specialized matrix structure designed to exploit quantum entanglement for enhanced computational capabilities. We detail the core mechanism of QAM, outlining its unique design and potential impact on the field of quantum computing. The work presents a rigorous theoretical analysis and preliminary experimental validation, demonstrating the potential of QAM to surpass conventional matrix calculations in several key metrics.

DOI: 10.5281/zenodo.22291012

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