Technology
A fundamentally different approach to AI that uses the mathematics of quantum physics as architectural structure.
SU(2) wave-interference provides universal structure for exact reasoning. The physics does the heavy lifting that classical models need hundreds of thousands of parameters to approximate.
UQT scales as O(L × log V) versus classical O(d²). This is a complexity class difference, not a constant-factor improvement. The gap widens at scale.
The model converges to mathematically exact solutions with zero variance. Not stochastic approximation, but complete algebraic resolution of the underlying structure.
720x parameter compression, demonstrated
100% accuracy with 551 parameters vs. ~400,000 for classical transformers on structured algebraic tasks.
Results
UQT has been validated on four domains and real quantum hardware.
Demonstrated
Exact Reasoning
0x
parameter compression
100% accuracy with 551–1,650 parameters vs. ~400,000 for classical transformers. Validated on modular addition (Z₁₁), modular multiplication (Z*₁₁), permutation composition (S₄), and the SCAN language.
100%
accuracy on classical hardware. Deterministic crystallization, not stochastic approximation.
97.5%
accuracy on IBM Heron r2 quantum hardware, no error correction.
4
domains validated: modular addition, multiplication, permutation composition, and the SCAN language.
Team
The inventors of UQT, now building the company to bring it to market.
Co-Founder / CEO
Directed UQT research strategy and now leading commercialization
$20M+ in competitively awarded research funding (NSF, FHWA, USDOT, DOE, GM, SAE International)
Tenured UIUC Professor with 10+ years leading research programs at UIUC and Texas A&M, from proposal through delivery
Co-Founder / CTO
Conceived the UQT architecture and built it end-to-end, from JAX/PyTorch implementation to IBM hardware validation
Discovered Crystallization: zero-variance, deterministic convergence on exact mathematical tasks
Ph.D. candidate, Quantum AI researcher, UIUC Grainger College of Engineering
Introducing the Universal Quantum Transformer and the phenomenon of Crystallization. 720x parameter compression, validated on real quantum hardware.
Read article →The full paper by Chung & Talebpour, UIUC. Architecture, crystallization theory, and IBM hardware validation.
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