T2HAMAdvanced MaterialsEnergy & Utilities
Catalyst discovery (CO₂ reduction, NH₃ synthesis)
Screen catalysts for decarbonization chemistry — high value; needs careful Hamiltonian reduction to stay native.
Sector
Chemicals / decarbonization
Likely buyer
Chemical majors; climate-tech R&D
Named precedent
Pasqal materials collaborations
Hardware gate
Reduced models near-term
Taxonomy
capability-absent × enabling
No live demo yet — requires careful Hamiltonian reduction; simulation runner on roadmap. The paradigm-honest position: this use case is demonstrated with crossover analysis, not theater.
GTM talk track
'Where the chemistry maps to the Rydberg universality class, we simulate; where it doesn't, we say so.'
OGSM — product operating frame
Objective
Scope a native catalyst sub-question.
Goals
- One lab defines a reducible model
Strategies
- Reduce carefully
Measures
- Screens run
OBR — outcome-based roadmap
| Horizon | Outcome we create | Buyer behavior change | Result we measure |
|---|---|---|---|
| Now | Lab sees a reduced model | Prospect runs the emulated demo on their own instance data | Booked QPU-time evaluation or paid pilot |
| Next | Lab benchmarks near crossover | Prospect co-designs a scoped benchmark against their incumbent solver | Documented crossover curve; expansion to production instances |
| Later | Lab runs on QPU | Prospect standardizes on the workflow or buys an on-prem system | Recurring QPU consumption / system sale; reference case |
Fit notes (honesty gate)
Value very high; native window narrow — be honest about reduction.
Ready to run this on real hardware?
Emulation-verified today — the same program runs on a Pasqal QPU unchanged.