7 use cases (filtered)

Simulate a reduced excitonic Hamiltonian in the tubulin tryptophan-network universality class — the repo's science flagship. Small instances verify classically; larger disordered 2D are QPU-justified.

Select trial sites balancing geography and covariate coverage without redundancy — geographic + covariate conflict graph.

Folding-as-optimization — embedding quality decides fit.

Graph problems on sequence data — graph-native but not unit-disk; embedding cost.

Model reaction pathways — value high, native fit narrow.

Quantum chemistry energies — native only for small systems; scaling needs digital/FTQC.

Molecular docking as optimization — heavily encoding-taxed; classical + ML strong.