COGNISYN
AI for Materials Discovery via Quantum Game Theory
No qubits needed. Cooperation is the ground state.
Classical optimization forces trade-offs — improve one property, sacrifice another. Materials scientists, battery engineers, and pharma researchers all accept “pick two” as inevitable. But trade-offs aren’t physics limits — they’re mathematical assumptions.
The Solution: A Different Mathematics
COGNISYN applies quantum game theory on classical compute to find cooperative wins where classical methods find only trade-offs. Just as simulated annealing borrows from metallurgy without molten metal, COGNISYN implements quantum mechanics without qubits.
The Care operator reshapes the energy landscape so cooperation is the ground state — not something agents negotiate, but something the mathematics produces. Care > 0.8 means beyond the Pareto frontier. Not a better trade-off — no trade-off at all.
HOW IT WORKS: Three AI Agents. One Grammar. Real Physics
LLMs don’t discuss science — they operate it. Three AI agents create rules in a compositional grammar called Baba is Quantum:
Grammar: [SUBJECT] [VERB] [PROPERTY]
Each rule triggers real Hamiltonian computation. The LLMs operate the mathematics — they don’t generate the answers. No hallucination of results is possible.
The grammar isn’t designed top-down — it emerges from agents discovering what works. As agents explore and refine the language through real problems, mathematical physics becomes accessible without needing to understand Hamiltonians.
FIRST APPLICATION: Quantum Computing Materials Discovery
AI finding materials for next generation AI
Finding Yb-171 host crystals where host quality, optical properties, and coherence are ALL high — a problem where materials scientists are stuck with sub-optimal trade-offs.
– 1,073 compounds evaluated from The Materials Project (CC BY 4.0)
– 26 Care equilibria found — all properties high simultaneously
– Zero known viable compounds missed in testing
Click image below to view proof of concept app
Same Mathematics. Any Domain.
Anywhere “pick two” is accepted as inevitable is a COGNISYN opportunity:
– Battery Materials — Energy density / Cycle life / Safety
– Industrial Control — Speed / Stability / Accuracy
– Drug Discovery — Efficacy / Safety / Bioavailability
– Foundation Models — Capability / Alignment / Efficiency
COGNISYN makes multi-objective optimization accessible without needing to understand Hamiltonians — what SQL did for databases, applied to mathematical intelligence.
Grateful for the support of NVIDIA Inception, the NVIDIA DGX Cloud Innovation Lab, and Amazon Activate
CONTACT: Tish Shute, Founder & CEO tish@cognisyn.ai | cognisyn.ai
Click image below to view COGNISYN’s pitch deck.
Unlocking Quantum Game Theory for Advanced AI and Collective Intelligence
Quantum Science for Collective Flourishing: Scientific & Technological Context
Quantum-Enhanced Biological Intelligence and Molecular Self-Assembly