The impending transition of wireless quantum networks from laboratory prototypes to industry adoption punctuates a critical inflection point in the development of resilient connectivity, sensing, and distributed computing. We introduce a practical, theory-grounded resilience metric - Quantum Electromagnetic Curvature Resilience (QECR) - that improves upon traditional graph or percolation scores by not only embedding quantum information geometry, but also the physics of wireless links. QECR evaluates network robustness via coarse Ricci curvature computed on a task-aware ground cost that blends state fidelity and channel distance, with completely positive tracepreserving (CPTP) maps derived from free-space optical or microwave/Rydberg front-ends. We instantiate three application profiles: CV-QKD, teleportation, and distributed sensing, and discuss use-case topologies in different regimes. Higher QECR certifies faster damping of local impairments and clearer design levers, including decisions regarding which components to harden, the selection of wavelengths or filters, and the identification of shortcut edges that yield outsized gains.