Operational Disruption Delta
How much more does the best route cost after disruption evidence changes the network?
Δrelative = Δcost / Cclean
Learn how one system turns disruption evidence into warped route costs, keeps an exact classical answer as operational truth, compares a paper-profile quantum lane, and uses Depthmetric Aviation to block and repair invalid workflow candidates.
The disruption paper and the self-healing control plane both use Delta. Combining them into one number would be a category error.
How much more does the best route cost after disruption evidence changes the network?
How far does a candidate violate weighted invariants for this workflow?
| low risk | ε = 0.20 |
| medium risk | ε = 0.10 |
| high risk | ε = 0.03 |
| critical risk | ε = 0.00 |
The deterministic kernel samples each directed great-circle route at 20 points, measures disruption influence, and changes edge costs. Solvers never receive raw prose.
G = (V,E). Airport-to-airport costs may differ by direction, so cost(i,j) need not equal cost(j,i).
Every route is sampled at exactly 20 equidistant great-circle positions using R = 6371 km.
Intersecting routes receive directional severity. Non-intersecting routes receive exponential distance decay.
d = 2R asin(√(sin²(Δφ/2) + cos φ1 cos φ2 sin²(Δλ/2)))influence = directionalExposure × severityC'(i,j) = C(i,j) × (1 + Σ influencek)This calculator isolates one disruption and one edge for learning. The engine aggregates all typed disruptions across every selected directed edge.
Select each stage to see where probabilistic interpretation stops and deterministic control begins.
The hybrid architecture is not a race where the quantum lane automatically wins. Both lanes receive a comparable problem, and Depthmetric Aviation verifies their candidates under one contract.
| Dimension | Classical lane | Quantum lane |
|---|---|---|
| Role | Operational reference | Research comparison |
| Current implementation | Exact enumeration of required hub orders | Warm-start QAOA simulation |
| Default availability | Every run | Optional and policy-gated |
| Paper parameters | Same warped directed matrix | p=2, 4096 shots, CVaR 0.2, COBYLA max 15 |
| Eligibility | Tiny exact demo instances | At most 4 selected airports under default profile |
| Failure behavior | Ask human if no valid route | Retain verified classical result |
| Production claim | Executed locally | Simulation, not a real QPU |
This calls the same API as the aviation workbench. Noise intentionally removes a required hub; Depthmetric Aviation must block it, apply one classical warm-start fallback, and verify again.
Curated feed · exact classical execution · paper-profile quantum simulation
Agentic does not mean autonomous authority. The design assigns interpretation to agents and truth-preserving operations to code.
Choose an answer. The feedback explains the engineering reason, not just the label.
Use the focused labs for deeper interaction with each half of the system.