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Topological resilience of quantum coherence in Erdős–Rényi random graphs under edge dilution

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  • Pan, Wenting
  • Liu, Hui
  • Zhang, Kun

Abstract

Quantum coherence in many-body systems is typically fragile under structural disorder. While k-regular random graphs have been proposed as robust substrates due to their symmetry, they are vulnerable to edge deletion, which breaks resonance and triggers localization. Here, we investigate an alternative: Erdős–Rényi random graphs, which lack local regularity but exhibit strong statistical homogeneity. Using numerical simulations on systems of n=400 qubits, we study the evolution of the principal eigenstate under progressive random edge removal. By constructing ensemble-averaged density matrices, we find that ER-based networks maintain high state purity (Tr(ρ2)>0.95) even when only ∼40% of the original edges remain. In the low-connectivity regime, ER graphs outperform k-regular counterparts with matched average degree. This enhanced robustness arises not from symmetry, but from intrinsic spectral properties of random graphs—specifically, eigenvalue separation, eigenvector delocalization, and expander-like connectivity. The results suggest that statistical connectivity, rather than engineered regularity, can serve as a resource for fault-tolerant quantum state transport in disordered systems.

Suggested Citation

  • Pan, Wenting & Liu, Hui & Zhang, Kun, 2026. "Topological resilience of quantum coherence in Erdős–Rényi random graphs under edge dilution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 688(C).
  • Handle: RePEc:eee:phsmap:v:688:y:2026:i:c:s0378437126001500
    DOI: 10.1016/j.physa.2026.131414
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