This tutorial will explore the intersection of quantum control, game theory, and AI deception, emphasizing their role in advancing secure and strategic decision-making. It will examine the role of control in enabling reliable quantum information processing, where precise manipulation of quantum states underpins robust computation and communication. It will also demonstrate how to transition to strategic frameworks that extend beyond classical paradigms, showing how quantum games unlock new possibilities for interaction and deception.
The discussion then expands to adaptive AI systems, where deception naturally arises from incentive misalignment and incomplete information, and equilibrium and control principles provide mechanisms for regulation. Information asymmetry emerges as a key factor in deception across domains like quantum networks and adversarial environments. By emphasizing this principle, the tutorial establishes a solid foundation for designing resilient architectures and capitalizing on strategic advantages in both quantum and AI-driven contexts.
The tutorial will feature a list of renowned researchers in control theory, game theory, artificial intelligence, quantum information science, and cyber-physical security.
Schedule of Talks
| 0:00-0:20 | Introduction to Quantum Control | Ian R. Petersen |
| 0:20-0:40 | Q-Learning for Zero-Sum Turn Games | Sean Anderson, João P. Hespanha |
| 0:40-0:55 | The Quantum Gambit: Bridging Classical and Quantum Game Theory Through Strategic Deception | Kyriakos G. Vamvoudakis, Ali Wadi |
| 0:55-1:15 | On Game and System Theoretic Foundations of LLM-Enabled Agentic AI Deception | Quanyan Zhu |
| 1:15-1:30 | Stochastic Real-Time Deception in Asymmetric Nash Equi- librium Seeking | Jorge I. Poveda, Michael Tang, Miroslav Krstic |
