Quantum Entanglement Information Encoding: Adaptive Parameterization

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers immense potential for quantum computation. However, maintaining entanglement's stability and efficiency is a significant challenge. This paper investigates the use of quantum entanglement information encoding, specifically through the dynamic adjustment of quantum state parameters, to enhance quantum computing's performance and robustness. We propose a novel approach that leverages a "quantum degree of freedom" to dynamically adjust the state, optimizing the quantum computation process. This study explores the potential of such a method to achieve improved efficiency and stability compared to traditional encoding schemes. The core claim is that this adaptive parameterization will significantly improve quantum information processing.

DOI: 10.5281/zenodo.22637877

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