Quantum Entanglement Adaptive Encoding

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper proposes a novel approach to information encoding leveraging the unique properties of quantum entanglement. The core idea centers around adaptive encoding, where the encoding scheme dynamically adjusts based on the characteristics of the input data and the quantum channel. This is achieved through a framework integrating entangled state generation, quantum decoy-state protocol for key distribution, and an entanglement resource optimization algorithm. The algorithm dynamically adjusts the entanglement generation and utilization based on real-time feedback, mitigating the impact of noise and interference. We demonstrate, theoretically, how this adaptive approach can significantly improve information transmission efficiency and security compared to traditional, static encoding methods within Quantum Key Distribution (QKD). The key innovation lies in harnessing the dynamic nature of entanglement, providing enhanced robustness against channel impairments. The theoretical framework outlines a robust mechanism for achieving optimal performance in QKD scenarios. ---

DOI: 10.5281/zenodo.22193212

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