Entanglement in Quantum Systems Based on Directed Graphs

Abstract The entanglement properties of quantum states associated with directed graphs are investigated. Using a measure derived from the Fubini–Study metric, multipartite entanglement is quantitatively related to the local connectivity of the graph. In Entanglement in Directed Graph States (2025), arXiv:2505.10716, it is demonstrated that the vertex degree distribution fully determines this entanglement measure and remains invariant under vertex relabeling, highlighting its topological character. As a consequence, the measure depends only on the total degree of each vertex, making it independent of the distinction between incoming and outgoing edges. This framework is applied to several specific graph structures, including hierarchical networks, neural network–inspired graphs, full binary tree and linear bridged cycle graphs, demonstrating how their combinatorial properties influence entanglement distribution. These results provide a geometric perspective on quantum correlations in complex systems, offering potential applications in the design and analysis of quantum networks.

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Publication Details

Journal
Advanced Quantum Technologies
Published
2025-09-25
DOI
https://doi.org/10.1002/qute.202500514
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
0.00

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article

Entanglement in Quantum Systems Based on Directed Graphs

Leopoldo de Simone, Roberto Franzosi
Advanced Quantum Technologies
Quantum Information and Cryptography
article

Entanglement in Quantum Systems Based on Directed Graphs

Leopoldo de Simone, Roberto Franzosi
article en

Abstract

Abstract The entanglement properties of quantum states associated with directed graphs are investigated. Using a measure derived from the Fubini–Study metric, multipartite entanglement is quantitatively related to the local connectivity of the graph. In Entanglement in Directed Graph States (2025), arXiv:2505.10716, it is demonstrated that the vertex degree distribution fully determines this entanglement measure and remains invariant under vertex relabeling, highlighting its topological character. As a consequence, the measure depends only on the total degree of each vertex, making it independent of the distinction between incoming and outgoing edges. This framework is applied to several specific graph structures, including hierarchical networks, neural network–inspired graphs, full binary tree and linear bridged cycle graphs, demonstrating how their combinatorial properties influence entanglement distribution. These results provide a geometric perspective on quantum correlations in complex systems, offering potential applications in the design and analysis of quantum networks.

Advanced Quantum TechnologiesVol. 9(1)
University of Siena (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Perugia (IT)
Istituto Nazionale di Alta Matematica "Francesco Severi", Gruppo Nazionale per la Fisica Matematica
Openalex Percentile: Top 86%
Quantum Information and Cryptography
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Entanglement in Quantum Systems Based on Directed Graphs — Leopoldo de Simone, Roberto Franzosi · Advanced Quantum Technologies (2025) | TGRS Research Map | TGRS