Quantum Entanglement Decomposition via Topological Self-Unfolding

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement plays a pivotal role in various quantum algorithms and quantum information processing, offering the potential for enhanced computational capabilities. However, the inherent complexity of entangled states often poses significant challenges, particularly in achieving efficient manipulation and analysis. This paper investigates a novel approach to quantum state decomposition – the Quantum Entanglement Decomposition (QED) algorithm – based on topological self-unfolding. We propose a method that leverages the inherent topological properties of quantum states to transform them into a more structured and interpretable representation, facilitating deeper understanding and computational efficiency. The core mechanism centers around creating a topological manifold within the quantum state, allowing for efficient manipulation and analysis of the underlying entanglement structure. This research introduces a new framework for quantum state decomposition, demonstrating potential advancements in the comprehension and processing of entangled quantum systems. The paper concludes with a discussion of the algorithm's theoretical foundation, experimental validation, and future research directions.

DOI: 10.5281/zenodo.22632172

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