Exploring Quantum AI

This seminar explores Quantum Artificial Intelligence (QAI) and how quantum computers can tackle complex AI challenges in supervised learning, reinforcement learning, multi-agent systems and planning. The speaker will highlight applications where QAI can offer a concrete advantage, focusing on the conditions for success, even in the NISQ era. From gate-based quantum systems and quantum annealing to hybrid quantum-classical methods, we will examine how these approaches offer more efficient solutions than classical AI algorithms in specific contexts. By the end, attendees will better understand how QAI applies to real-world challenges, opening new research and collaboration opportunities.