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自组织信息论的量子纠缠干涉

Jincheng Zhang

Published Sep 3, 2026• 0 citations
Publisher

Abstract

This paper investigates the potential of self-organizing information theory (SIT) to enhance quantum entanglement and facilitate information transfer and encoding. We propose a novel quantum entanglement interaction mechanism based on SIT, leveraging the inherent self-correlation of entangled states to achieve more efficient data manipulation and security. The core mechanism focuses on guiding the entanglement state towards a specific, predetermined outcome through the principles of SIT. We explore the theoretical implications and potential applications of this approach, particularly in the context of quantum communication and information storage. The research emphasizes the use of SIT as a fundamental framework for understanding and manipulating entangled quantum states.

DOI
10.5281/zenodo.22264080

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This paper introduces a novel quantum entanglement protocol based on self-organizing information theory. The protocol leverages the unique properties of quantum entanglement to ensure secure data transmission and synchronization, and explores its potential within quantum communication. The core mechanism focuses on utilizing the self-organizing information theory to achieve data security via entanglement, facilitate data compression and transfer through entanglement, and ultimately enhance communication efficiency and security. The investigation emphasizes the potential of this approach to overcome limitations in existing quantum communication methods.
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Quantum state compression is a crucial aspect of quantum information processing, offering the potential to significantly reduce the volume of quantum information required for transmission and storage. This paper investigates a novel approach to quantum state compression based on the principles of self-organizing matrices, leveraging the inherent structure of quantum networks to achieve efficient data compression. We explore the concept of using self-organizing matrices to represent and compress quantum states, demonstrating its effectiveness through theoretical analysis and preliminary experiments. The core mechanism focuses on utilizing the self-organizing properties of the matrices to achieve compression without significant loss of quantum information. The paper presents a detailed explanation of the proposed algorithm, its mathematical formulation, and the results of testing. The core claim emphasizes the potential for substantial improvements in quantum information transmission efficiency. The research demonstrates a promising path toward a more efficient and practical quantum information transfer paradigm.