QRF logo Quantum Routing Framework (QRF)

Quantum Routing Framework (QRF)

QRF is a new-generation routing-decision system built for scalability, routing stability, and large dynamic graph environments. It goes beyond shortest-path-only routing: rather than returning only the shortest path, QRF evaluates multiple feasible alternatives and returns a routing path designed for stability as network conditions change. It is intended for V2X, VANET, IoT/IIoT, telecom and edge networks, and smart mobility. Controlled engineering evidence spans 1M to 500M nodes and approximately 3.0B edges on the same standard desktop-class PC.

500M / 3.0B
Maximum tested nodes / edges
25 / 25
Stable benchmark runs
6.997 ms
Core serving p95 at 500M*
1,600 / 1,600
Sampled returned-path validity checks

From Path Lookup to Routing Decisions

QRF is evaluated as a routing-decision product rather than a shortest-path-only component. Its public technical position focuses on observable product capability and measured engineering outcomes.

Multiple alternatives: evaluates feasible routing alternatives and returns a routing decision from multiple feasible alternatives.
Dynamic-graph readiness: designed for environments where graph conditions and route context can change.
Decision continuity: supports continued decisioning when expected route context is incomplete or unavailable.
On-demand serving: measured request serving does not rely on precomputed route answers or per-request preprocessing.

Measurement note: Reported latency on this site is Core Request-Serving Latency, not end-to-end routing-decision latency. Product-level dynamic-condition and decision-continuity behavior is verified separately in a controlled live session. “Stable” means the benchmark's single-request and batch stationarity checks both passed.

Where QRF Can Be Evaluated

QRF is designed for large, dynamic graph environments. Current public evidence demonstrates controlled core request-serving behavior at scale; the following domains are potential collaboration and Pilot evaluation areas, not claims of completed production deployment.

MOBILITY

V2X & VANET

Potential evaluation for vehicle-to-everything (V2X) and vehicular ad hoc network (VANET) scenarios where topology and routing conditions can change rapidly across connected vehicles and roadside infrastructure.

V2VV2IRSUDynamic topology
CONNECTED DEVICES

IoT & Industrial IoT

Potential fit for IoT/IIoT environments with large numbers of connected devices, gateways and edge nodes where routing decisions must remain efficient as the network grows.

IoTIIoTGatewaysEdge devices
AUTOMOTIVE

Connected Mobility

Evaluation opportunities with automotive OEMs, Tier-1 suppliers and mobility platforms for large-scale connected-vehicle routing and communication scenarios under customer-defined requirements.

OEMTier-1Connected vehicle
NETWORK INFRASTRUCTURE

Telecom & Edge Networks

Potential collaboration with telecom, networking and edge-computing teams evaluating fast routing decisions across distributed and changing network topologies.

TelecomEdgeDistributed networks
SMART INFRASTRUCTURE

Smart Cities & ITS

Potential evaluation for Intelligent Transportation Systems (ITS), roadside infrastructure and connected urban networks where many moving and fixed nodes interact.

ITSSmart cityRoadside infrastructure
LARGE-SCALE GRAPHS

Dynamic Routing Platforms

QRF can also be evaluated wherever a product depends on large graph-based routing decisions and needs an alternative to treating shortest path as the only routing objective.

Large graphsDynamic routingRouting decisions

Potential Collaboration Partners

QRF is open to structured evaluation with automotive OEMs, Tier-1 suppliers, semiconductor and networking companies, telecom vendors/operators, IoT and edge-platform providers, and smart-mobility / ITS teams.

Technical Review→Legal / Procurement Review→Controlled Technical Evaluation→Customer Pilot

Technical Overview

The figures below summarize the externally reviewable engineering evidence and use the same measurement boundaries as the current QRF Controlled Technical Evaluation package.

The final benchmark set contains five separately executed benchmark runs at each tested scale (25 total). The same controlled request corpus / serving set was reused across runs to measure repeatability; the runs are not described as statistically independent.

Measured Proof Points

Scale Edges Evaluation Scope Core p95 Stable Runs
1M6MStandard evaluation0.233 ms5/5
10M60MStandard evaluation0.441 ms5/5
100M600MStandard evaluation1.025 ms5/5
200M1.2BLarge-scale steady-state2.795 ms5/5
500M3.0BLarge-scale steady-state6.997 ms5/5

Benchmark Context

All tested scales were served on the same standard desktop-class PC: 12th Gen Intel Core i5-12400F, 16 GB RAM, standard SSD, Windows desktop environment. Reported latency is Core Request-Serving Latency. The 200M and 500M results use the separately defined large-scale steady-state scope and are not presented as cold-start / first-touch latency evidence.

Core p95 — Standard Evaluation

Five-run mean Core Request-Serving p95 | 1M–100M

100× tested node scale from 1M to 100M with an observed 4.4× increase in mean core p95.

Core p95 — Large-Scale Steady-State

Five-run mean Core Request-Serving p95 | 200M–500M

6.997 ms mean core p95 at 500M nodes / approximately 3.0B edges.

Sampled Returned-Path Validity

1,600/1,600 sampled returned paths passed structural consistency and graph-edge existence checks. Validation was performed after timing and is excluded from the reported core request-serving latency metrics.

Repeatability

25/25 runs in the final benchmark set passed both single-request and batch stationarity checks. Five separately executed runs were stable at every tested scale.

Engineering Interpretation

QRF demonstrates a repeatable core request-serving performance envelope from 1M through 500M tested nodes. Product-level dynamic-condition and decision-continuity behavior is intentionally evaluated separately from the core latency metric through a controlled live verification session.

POC / Controlled Technical Evaluation

  • Review measured scale, core request-serving latency, repeatability, and sampled output validity.
  • Review the documented evaluation methodology and measurement boundaries.
  • Observe product-level dynamic-condition and decision-continuity behavior in a QRF-operated live verification session.
  • To initiate a POC / Controlled Technical Evaluation, contact QRF directly.

Customer Pilot

Customer-specific topology, integration, deployment criteria, operational KPIs, and representative workloads are reserved for a separately scoped Pilot after technical and commercial alignment. Web Service access and the QRF SDK are provided as part of the Pilot for customer integration and evaluation.

Validation Boundary

  • Public figures represent controlled QRF engineering measurements, not customer-production KPI guarantees.
  • No superiority claim is made against third-party routing systems without workload-equivalent comparative testing.
  • Customer-specific acceptance criteria are defined during the Pilot.

Technology Status

  • Status: U.S. Patent Pending.
  • Public technical materials focus on observable capability and measured engineering evidence.
  • Detailed implementation information is outside the public evaluation materials.

Contact

Shahram Darvishi
PhD Candidate in Software Engineering
Software Architect & AI Researcher
QRF Project Lead | Quantum Routing Framework (QRF)
For a POC / Controlled Technical Evaluation, technical review, or Pilot discussion, contact QRF by email. Web Service and SDK access are provided during the separately scoped Pilot stage.

Measurement Disclaimer

Benchmark figures shown on this page summarize controlled QRF engineering measurements within the stated scopes. Core Request-Serving Latency is not presented as end-to-end routing-decision latency. Customer-specific topology, integration behavior, production KPIs, and deployment acceptance criteria are evaluated separately during a formal Pilot.