A paper outlining a faster way to perform a mathematical computation known as optimal transport was selected for a live oral presentation July 9 at the 2026 International Conference on Machine Learning in Seoul, South Korea. Authored by Felix Ye, Ming-Ching Chang, Computer Science PhD student An Yu and researchers at the University of North Carolina Charlotte and IBM Research, the project was made possible by the Center for Emerging Artificial Intelligence Systems.

Carlo Cafaro recently published “Geometric Aspects of Entanglement Generating Hamiltonian Evolutions” in the International Journal of Theoretical Physics with co-author James Schneelock of the U.S. Air Force Research Laboratory. The paper studies the efficiency, curvature and complexity of entangling quantum evolutions between orthogonal and nonorthogonal quantum states.

Carlo Cafaro, Walid Redjem and colleagues in the U.S. and Italy recently published an article in Quantum Review Letters on the acceleration limit in quantum-mechanical evolutions of quantum systems in pure states — in particular, the upper bounds on the fluctuation growth on any physical observable in closed quantum systems whose dynamics is unitary.