Quantum Information Entropy Encoding

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum information entropy represents a fundamental measure of uncertainty in a quantum system. Efficiently encoding and manipulating this entropy is crucial for various quantum algorithms and applications. This paper explores the development of a novel encoding scheme based on quantum entanglement, aiming to dynamically adjust the encoding strength based on the system's internal state. We propose a method utilizing the inherent self-adaptative properties of entangled states to achieve a more efficient and robust approach to quantum information processing. This work addresses the limitations of traditional encoding methods by introducing a mechanism for adaptive strength adjustment, minimizing redundancy and potentially unlocking new computational possibilities. The core mechanism centers around leveraging the entanglement to create a feedback loop that optimizes the encoding process. We detail the proposed algorithm, its underlying principles, and preliminary experimental validation demonstrating its effectiveness. The research focuses on the potential of this approach to significantly improve the performance of quantum information processing.

DOI: 10.5281/zenodo.22293135

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