Journal article
Unveiling the importance of longer paths in quantum networks
- Abstract:
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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 (U, V) flowers. These networks allow full analytical control over path connectivity through two adjustable path-length parameters, ≤V. 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Preview, Version of record, pdf, 3.1MB, Terms of use)
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- Publisher copy:
- 10.1126/sciadv.adt2404
Authors
- Funder identifier:
- https://ror.org/03wnrjx87
- Grant:
- IEC\NSFC\201180
- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/V013068/1
- EP/V03474X/1
- EP/Y028872/1
- Publisher:
- American Association for the Advancement of Science
- Journal:
- Science Advances More from this journal
- Volume:
- 11
- Issue:
- 9
- Article number:
- eadt2404
- Publication date:
- 2025-02-26
- Acceptance date:
- 2025-01-24
- DOI:
- EISSN:
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2375-2548
- Language:
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English
- Pubs id:
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2080340
- Local pid:
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pubs:2080340
- Deposit date:
-
2025-01-24
Terms of use
- Copyright holder:
- Hu et al.
- Copyright date:
- 2025
- Rights statement:
- Copyright © 2025 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).
- Licence:
- CC Attribution (CC BY)
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