T1–T2W-MISGovernment & Public Sector
Disaster-response depot & shelter siting
Place depots/shelters for maximum population coverage without redundancy — weighted coverage-conflict; public mission narrative.
Sector
Government / emergency management
Likely buyer
Emergency management agencies; NGOs
Hardware gate
Weighted → Vela
Taxonomy
resource-constrained × enabling
Live demo — adiabatic sweep on 5 depots
Ω 9.4 · δ ±12.6 rad/µs · 4000 ns · R_b 9.1 µmDepots with overlapping reach are redundant; atom size = population served. Maximize covered population.
Weighted instance: site values map to per-atom detuning — on hardware this needs Vela-class local addressing. Emulated exactly here.
GTM talk track
'Cover the most people with the fewest depots — a mission-critical siting problem that's geometry-native.'
OGSM — product operating frame
Objective
Demonstrate coverage siting for response planning.
Goals
- One agency runs a region
Strategies
- Map population coverage + value
Measures
- Population covered
- Depot count
OBR — outcome-based roadmap
| Horizon | Outcome we create | Buyer behavior change | Result we measure |
|---|---|---|---|
| Now | Agency sees siting on a region | Prospect runs the emulated demo on their own instance data | Booked QPU-time evaluation or paid pilot |
| Next | Agency benchmarks a scenario | Prospect co-designs a scoped benchmark against their incumbent solver | Documented crossover curve; expansion to production instances |
| Later | Agency adopts for planning | Prospect standardizes on the workflow or buys an on-prem system | Recurring QPU consumption / system sale; reference case |
Fit notes (honesty gate)
Expanded-domain: weighted coverage; strong public-mission story.
Ready to run this on real hardware?
Emulation-verified today — the same program runs on a Pasqal QPU unchanged.