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Capability profile
iQCC computational materials discovery
OTI applies iterative qubit coupled cluster algorithms to electronic-structure calculations for materials design, alongside machine learning and physical pilot testing. Its August 2026 announcement with Samsung Advanced Institute of Technology reports benchmarking across 14 OLED emitters and 200-plus-qubit emulations on conventional computing hardware. A separate OTI-authored preprint investigates GPU-accelerated ruthenium-catalyst calculations. These results support scoped materials-R&D evaluation rather than a general claim of quantum-hardware advantage.
Computational chemistry and materials design
What it enables
Core features
- Company-reported OLED benchmark: 32 CPU processes and approximately 800 GB RAM for emulation beyond 200 qubits.
- OTI's GPU preprint reports 100–124-qubit ruthenium-catalyst calculations in 1.2–45 hours, depending on the system and hardware.
- Materials-design workflow combines simulations, synthesis, pilot production feedback and application engineering.
Defence and security uses
- Screening and evaluation of OLED emitter materials.
- Electronic-structure research on selected ruthenium catalyst systems.