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Quantum Entanglement-Based Information Encoding and Dynamic Topological Sorting of Multi-Particle States

Jincheng Zhang

Published Aug 28, 2026• 0 citations
Publisher

Abstract

This paper presents a novel approach to information encoding and manipulation of multi-particle states leveraging the inherent correlations of quantum entanglement. The core idea involves constructing entangled states with topologically protected information, enabling efficient management and control of multi-particle states. A key mechanism utilizes topological sorting algorithms to encode the topological structure of entangled states, providing a precise description and control over the multi-particle states while mitigating the detrimental effects of decoherence often associated with traditional entangled states. The proposed methodology represents a significant advancement, introducing topological methods into the encoding and manipulation of quantum entanglement, offering a new paradigm for information storage and transmission, and overcoming limitations inherent in conventional entanglement operations. The system is formulated with the following key elements: (S, T), where S represents the set of particles and T represents the entangled state. The topological sorting algorithm is described as (α, β, γ), where α, β, and γ are the topological indices. The decoherence rate is represented as (δ). The overall goal is to achieve a state represented by (ψ, E), where ψ is the encoded state and E is the energy of the system. The effectiveness of the approach is demonstrated through the analysis of the entanglement fidelity, quantified as (F), and the preservation of the multi-particle state's topological properties, represented by (P). The research contributes to the development of robust and scalable quantum information processing technologies.

DOI
10.5281/zenodo.22137866

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This paper proposes a novel approach to information encoding leveraging the unique properties of quantum entanglement. The core claim centers on utilizing multi-particle quantum entanglement to directly encode high-dimensional information, thereby overcoming the limitations inherent in classical encoding schemes. The proposed mechanism involves a controlled Zeno effect-based strategy for generating and manipulating quantum entanglement, leading to efficient information encoding. Unlike conventional methods relying on superposition states of classical bits, this technique directly exploits the correlations within entangled systems. We demonstrate a theoretical framework outlining this approach, focusing on the generation and control of entangled states for robust information storage. The key innovation lies in the dynamic control of interactions to maintain entanglement integrity and facilitate information transfer. This work represents a significant step towards scalable quantum storage solutions and highlights the potential of entanglement as a fundamental resource for information processing.
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