T1W-MISManufacturing
Factory cell layout / machine placement
Place machines/cells so adjacency conflicts are avoided — geometric, weighted by throughput value.
Sector
Manufacturing
Likely buyer
Manufacturers; industrial engineers
Hardware gate
Unweighted today; weighted → Vela
Taxonomy
throughput-limited × accelerating
Live demo — adiabatic sweep on 5 cells
Ω 9.4 · δ ±12.6 rad/µs · 4000 ns · R_b 9.1 µmMachine cells conflict when adjacency is unsafe/inefficient; atom size = throughput value.
Weighted instance: site values map to per-atom detuning — on hardware this needs Vela-class local addressing. Emulated exactly here.
GTM talk track
'Your plant floor is a conflict graph — machines that can't sit next to each other. That's MIS.'
OGSM — product operating frame
Objective
Prove layout optimization on a real line.
Goals
- One plant runs a layout
Strategies
- Map adjacency conflicts to geometry
Measures
- Throughput
- Rework reduction
OBR — outcome-based roadmap
| Horizon | Outcome we create | Buyer behavior change | Result we measure |
|---|---|---|---|
| Now | Plant sees a layout on sample line | Prospect runs the emulated demo on their own instance data | Booked QPU-time evaluation or paid pilot |
| Next | Plant benchmarks a full floor | Prospect co-designs a scoped benchmark against their incumbent solver | Documented crossover curve; expansion to production instances |
| Later | Plant adopts for redesign | Prospect standardizes on the workflow or buys an on-prem system | Recurring QPU consumption / system sale; reference case |
Fit notes (honesty gate)
Adjacency conflicts are geometric; native.
Ready to run this on real hardware?
Emulation-verified today — the same program runs on a Pasqal QPU unchanged.