MQV-Symposium: Quantum Computing meets Artificial Intelligence

This event brings together academics, industry leaders, and policymakers at the forefront of quantum computing and artificial intelligence to explore the transformative potential of integrating quantum algorithms with AI systems. Topics will include quantum-enhanced optimization, variational quantum circuits, quantum neural networks, and hybrid quantum-classical models. Attendees will learn how quantum resources can accelerate learning, improve generalization, and solve intractable problems in high-dimensional data spaces, and how machine learning can be applied in a quantum computing context. Presentations will cover the theoretical foundations, experimental implementations, and real-world applications of quantum machine learning in fields such as drug discovery, materials science, and complex systems modeling. Join us for an in-depth exploration of quantum machine learning, its implications for the future of intelligent computation, and machine-learning use cases in quantum computing.