Unveiling the importance of nonshortest paths in quantum networks

Quantum networks (QNs) exhibit stronger connectivity than predicted by classical percolation, yet the origin of this phenomenon remains unexplored. We apply a statistical physics model-concurrence percolation-to uncover the origin of stronger connectivity on hierarchical scale-free networks, the (<i>U</i>, <i>V</i>) flowers. These networks allow full analytical control over path connectivity through two adjustable path-length parameters, ≤<i>V</i>. This precise control enables us to determine critical exponents well beyond current simulation limits, revealing that classical and concurrence percolations, while both satisfying the hyperscaling relation, fall into distinct universality classes. This distinction arises from how they "superpose" parallel, nonshortest path contributions into overall connectivity. Concurrence percolation, unlike its classical counterpart, is sensitive to nonshortest paths and shows higher resilience to detours as these paths lengthen. This enhanced resilience is also observed in real-world hierarchical, scale-free internet networks. Our findings highlight a crucial principle for QN design: When nonshortest paths are abundant, they notably enhance QN connectivity beyond what is achievable with classical percolation.

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Publication Details

Journal
Science Advances
Published
2025-02-26
DOI
https://doi.org/10.1126/sciadv.adt2404
Citations
10
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
24.81

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article

Unveiling the importance of nonshortest paths in quantum networks

Hanlin Sun, Xinqi Hu, Kim Christensen, Jianxi Gao et al.
10 citations
Science Advances
Quantum Information and Cryptography
24.81
article

Unveiling the importance of nonshortest paths in quantum networks

Hanlin Sun, Xinqi Hu, Kim Christensen, Jianxi Gao, Renaud Lambiotte, Xiangyi Meng, Zihao Tian, Shlomo Havlin, Jingfang Fan, Gaogao Dong
article en
10 citations

Abstract

Quantum networks (QNs) exhibit stronger connectivity than predicted by classical percolation, yet the origin of this phenomenon remains unexplored. We apply a statistical physics model-concurrence percolation-to uncover the origin of stronger connectivity on hierarchical scale-free networks, the (<i>U</i>, <i>V</i>) flowers. These networks allow full analytical control over path connectivity through two adjustable path-length parameters, ≤<i>V</i>. This precise control enables us to determine critical exponents well beyond current simulation limits, revealing that classical and concurrence percolations, while both satisfying the hyperscaling relation, fall into distinct universality classes. This distinction arises from how they "superpose" parallel, nonshortest path contributions into overall connectivity. Concurrence percolation, unlike its classical counterpart, is sensitive to nonshortest paths and shows higher resilience to detours as these paths lengthen. This enhanced resilience is also observed in real-world hierarchical, scale-free internet networks. Our findings highlight a crucial principle for QN design: When nonshortest paths are abundant, they notably enhance QN connectivity beyond what is achievable with classical percolation.

Science AdvancesVol. 11(9)
Jiangsu University (CN), Turing Institute (GB), Bar-Ilan University (IL), Nanjing Normal University (CN), Stockholm University (SE), Rensselaer Polytechnic Institute (US), Beijing Normal University (CN), University of Oxford (GB), Imperial College London (GB), KTH Royal Institute of Technology (SE), Nanjing University (CN)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 1%
Quantum Information and Cryptography
24.81
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