T1HAMAdvanced MaterialsDefenseAutomotive
Rare-earth-free permanent-magnet screening
Screen frustrated-magnet chemistries as a programmable quantum magnet — direct heir to Pasqal's 256-qubit TmMgGaO₄ result. Supply-chain-security money and policy tailwind.
Sector
Advanced materials
Likely buyer
Materials R&D labs; magnet manufacturers; defense supply chain
Named precedent
Pasqal TmMgGaO₄ frustrated-magnet simulation (256 qubits)
Hardware gate
Orion for small lattices; beyond-classical regime → larger arrays / QPU
Taxonomy
capability-absent × enabling
No live demo yet — Hamiltonian-simulation runner is on the roadmap; the MIS emulator ships first. Demonstrated today via the crossover-curve artifact and the TmMgGaO₄ reference.. The paradigm-honest position: this use case is demonstrated with crossover analysis, not theater.
GTM talk track
'This isn't optimization — the machine IS a programmable quantum magnet. Pasqal already matched real single-crystal measurements on 256 qubits. Point that instrument at rare-earth-free chemistries and screen where classical methods strain.'
OGSM — product operating frame
Objective
Establish the simulation moat with a materials-R&D lighthouse.
Goals
- One materials lab screens a candidate family
- Crossover curve vs DFT/MPS documented
Strategies
- Lead with the TmMgGaO₄ result
- Frame as a screening instrument, not a solver
- Consider a discovery JV with a synthesis-capable partner
Measures
- Candidate chemistries screened
- Where classical baselines break
OBR — outcome-based roadmap
| Horizon | Outcome we create | Buyer behavior change | Result we measure |
|---|---|---|---|
| Now | Lab sees a small-lattice simulation vs exact diagonalization | Prospect runs the emulated demo on their own instance data | Booked QPU-time evaluation or paid pilot |
| Next | Lab benchmarks a disordered 2D lattice near the classical crossover | Prospect co-designs a scoped benchmark against their incumbent solver | Documented crossover curve; expansion to production instances |
| Later | Lab runs beyond-classical screens on QPU / buys a system | Prospect standardizes on the workflow or buys an on-prem system | Recurring QPU consumption / system sale; reference case |
Fit notes (honesty gate)
The simulation moat and credibility anchor. Small lattices verify by exact diagonalization; larger disordered 2D is honestly QPU-justified.
Ready to run this on real hardware?
Emulation-verified today — the same program runs on a Pasqal QPU unchanged.