T2QUBO-EPharmaceuticals & Healthcare
Peptide / small-protein conformational search
Folding-as-optimization — embedding quality decides fit.
Sector
Drug discovery / biotech
Likely buyer
Biotech R&D
Hardware gate
Embedding quality decisive
Taxonomy
cost-prohibitive × accelerating
No live demo yet — folding embeds variably; benchmark embedding before promising advantage. The paradigm-honest position: this use case is demonstrated with crossover analysis, not theater.
GTM talk track
'We'll test whether your instances embed well enough to matter.'
OGSM — product operating frame
Objective
Test embedding quality on real instances.
Goals
- One team runs a peptide
Strategies
- Assess embedding overhead
Measures
- Embedding quality
OBR — outcome-based roadmap
| Horizon | Outcome we create | Buyer behavior change | Result we measure |
|---|---|---|---|
| Now | Team sees a small instance | Prospect runs the emulated demo on their own instance data | Booked QPU-time evaluation or paid pilot |
| Next | Team benchmarks embedding | Prospect co-designs a scoped benchmark against their incumbent solver | Documented crossover curve; expansion to production instances |
| Later | Team adopts if it wins | Prospect standardizes on the workflow or buys an on-prem system | Recurring QPU consumption / system sale; reference case |
Fit notes (honesty gate)
Folding-as-optimization; fit hinges on embedding.
Ready to run this on real hardware?
Emulation-verified today — the same program runs on a Pasqal QPU unchanged.