Quantum Routing Framework (QRF) sets a new performance benchmark for real-time, scalable stability in next-generation VANET, IoT, and large-scale mobility networks. By combining quantum-inspired optimization techniques with an adaptive routing core, QRF delivers exceptional performance at city scale, while maintaining deterministic behavior even under extreme mobility and dense topologies.
QRF applies a lightweight, adaptive decision core with feedback-driven tuning to sustain stability under high mobility. The system is modular and aligns with common V2X stacks.
Below is a concise view of the information typically provided in evaluation packs. This page contains no downloads.
QRF provides deterministic, stable routing optimized for large-scale VANET and IoT deployments. The evaluation results shown here summarize synthetic, NS‑3‑style, and micro‑graph benchmarks.
For OEM-grade validation, all real-world KPIs are measured exclusively during the Pilot phase with OEM datasets under NDA.
| Metric | Scenario | Observed | Notes |
|---|---|---|---|
| Stability | Urban 10k (NS‑3 lab) | ≈ 0.96 | Lab result — consistent routes under rapid topology change |
| Packet Delivery Ratio | Urban 10k (NS‑3 lab) | ≈ 0.94 | Lab result — robust delivery in dense, mobile topologies |
| Algorithmic Decision Time | Snapshot Lab | ≈ 87 ms | Single-route decision time and finding stable paths, along with KPI calculation, on the snapshot. |
| Micro-graph Benchmark | 1M-node Random Graph | ≈ 1 ms | Internal synthetic micro-graph benchmark (non-OEM) |
| Scale | Stress (synthetic) | up to 1M nodes | Synthetic benchmark — city‑scale readiness |
| Hardware Baseline | Evaluation | Standard PC-class | No accelerators required |
Benchmarks use NS‑3–style synthetic VANET snapshots up to 1M nodes. These datasets are designed for high‑scale stress evaluation. Real OEM telemetry is evaluated exclusively during NDA/POC phases.
87 ms refers to single-route computation on a 1M‑node synthetic snapshot. The earlier 1 ms value applied only to internal random micro-graph tests and is not representative of OEM workloads.
Benchmarks from simulation‑based VANET snapshots (NS‑3 lab) and synthetic stress setups confirm deterministic route computation and consistent stability across evaluated routes — all on standard PC hardware. Figures are for conceptual evaluation; real‑world KPI validation occurs only during the Pilot with OEM datasets. Detailed validation artifacts are available to qualified partners under NDA/POC terms.
The QRF Web Service provides a REST‑based API for deterministic route computation and evaluation. Runtime WebService and SDK are provided after a paid POC Agreement (runtime delivery upon payment confirmation) and full sandbox/field integration under a subsequent Pilot Agreement.
Primary scenario with dense mobility.
Synthetic stress setup to evaluate scaling.
Stability/PDR figures shown on this page are derived from lab (NS‑3) and/or synthetic scenarios for conceptual evaluation only. Real‑world KPI validation is performed exclusively during the Pilot phase with OEM datasets.
