☾ LUNIBYTE

EXPERIMENT 002 / SATELLITE NETWORK PLANNING

LuniQ SatMesh

Changing links. Smarter route choices.

Quantum-Assisted Satellite Network Intelligence. Choose a route between two ground endpoints at two snapshots, then inspect quantum and classical planning side by side.

Research prototype · Synthetic snapshots, not orbital simulation · No satellite connection or instant communication · No quantum advantage claimed

01 / EXPLORE THE NETWORK

Four satellites. Two ground endpoints.

━ Available━ Selected QAOA route┄ Unavailable

Run QAOA to highlight an observed feasible route.

Candidate routes at the selected snapshot; assumptions, not measurements.
RouteOne-way latencyRisk scoreAvailable
What these snapshots mean

t0 and t1 are two synthetic planning snapshots with fixed candidate paths, not orbit propagation or continuous connectivity. Satellite positions here are diagram layout only. Each route must have every hop available at its snapshot. P0 and P1 share the A–S1 uplink.

P0: A → S1 → S2 → B. P1: A → S1 → S3 → B. P2: A → S4 → B. The S1–S3 link is unavailable at t1 even in the normal scenario.

02 / PLAN AND MEASURE

Test a routing scenario

Ready. No result has been generated.

Runs on your device in a local worker. No upload, account, paid quantum API, commercial AI or saved inputs. Six decision qubits encode route choices, not satellites.

Quantum planning, ordinary links

H initialization, Ising RZ/RZZ phase gates, RX mixers, classical angle search and seeded Born-rule measurement. Ideal classical simulation, not quantum satellite hardware.

Failures stay visible

Infeasible shots are counted. Disconnected scenarios produce no recommendation. The exact baseline is never substituted for a QAOA result.

Built on research

QAOA foundations ↗
Related resilient-routing research ↗. This direction has prior work; no novelty claim.