13 use cases (filtered)

Choose the highest-value set of charging sites subject to spacing/cannibalization constraints — a weighted-MIS with strong per-site economics. EDF precedent.

Place turbines to maximize output while avoiding wake interference — wake exclusion is a distance/direction conflict.

Place phasor measurement units for full observability without redundant overlap — coverage-vs-conflict is geometric.

Place sensors/valves for full network coverage without overlap — geometric coverage, like grid PMUs.

Model exciton transport in PV and light-harvesting systems — XY/dipole transport, same class as the microtubule benchmark.

Schedule EV charging to avoid simultaneous local-transformer overload — temporal-geometric conflict graph.

Model battery materials at quantum accuracy — high value; native fit bounded by qubit count. BASF/BMW-adjacent.

Screen catalysts for decarbonization chemistry — high value; needs careful Hamiltonian reduction to stay native.

Dual: capture-materials simulation (T2) plus storage-site selection (T1 siting).

Where to build new lines — partly geometric, large instances; between native and embedding-taxed.

Battery/storage dispatch optimization — embedding-taxed QUBO; classical wins today.

Which generators to run when, at scale — massive but embedding-taxed; hybrid decomposition only.

Wind/solar forecasting via QML — advantage unproven; classical ML competitive.