Author

Alireza Talebpour

2 papers indexed here

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#artificial intelligence Apr 2026

Universal Quantum Transformer

This work introduces the Universal Quantum Transformer (UQT), a novel, quantum-native computing architecture that uses the physical properties of multi-qubit systems as a universal inductive bias for exact algebraic and compositional reasoning.

Sungyong Chung, Alireza Talebpour · arXiv.org · 0 citations

#machine learning Preprint Mar 2026

An Empirical Markov Chain Car-Following (MC-CF) Model

The proposed Markov Chain Car-Following (MC-CF) model provides a robust and scalable foundation for simulating population-level stochastic traffic behavior that requires no behavioral parameter calibration, making it well-suited for the data-rich future of intelligent transportation.

Sungyong Chung, Yanlin Zhang, Nachuan Li et al. · 0 citations