Algorithmic Intelligence in the Quantum–AI Era: A Statistical Perspective from Complex Systems

Abstract

As we enter an era dominated by Artificial Intelligence and Quantum Computing, the role of Statistics is more vital than ever—not only in making sense of data, but also in shaping algorithms that drive intelligent decision-making under uncertainty. This talk presents a statistical perspective on algorithmic intelligence, grounded in recent work on hybrid AI–quantum models, digital twins, and optimization in complex systems such as finance, healthcare, and logistics. I will share insights from applied collaborations involving AI-driven forecasting, reinforcement learning, and quantum optimization—highlighting how statistical thinking ensures robustness, interpretability, and transferability in modern learning systems.