Quantum Information Encoding via Adaptive High-Order Matrix Systems

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum information encoding is a fundamental challenge in quantum computing and information theory. This paper explores the application of adaptive high-order matrix systems to construct a novel quantum information encoding scheme. We propose a method that leverages the inherent properties of high-order matrices to achieve efficient and secure quantum state manipulation. This approach addresses the limitations of traditional encoding schemes by offering enhanced entanglement generation and improved robustness against noise. The system's core mechanism centers around dynamically adjusting matrix parameters to optimize quantum state generation and transmission. We demonstrate the effectiveness of this method through simulations and preliminary experimental results, showcasing improved fidelity and reduced error rates compared to existing encoding strategies. The core claim highlights the potential of this approach to revolutionize quantum information transmission and processing.

DOI: 10.5281/zenodo.22205067

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