Abstract

The convergence of Quantum Computing and Artificial Intelligence is opening new frontiers in computational capabilities, promising transformative impacts across various domains. This workshop aims to explore the rapidly evolving field of Quantum AI, with a focus on practical applications and real-world implementations. Participants will gain insights into how quantum algorithms can enhance machine learning models, optimize complex systems, and solve problems that are currently intractable for classical computers. Through a series of case studies and applications, the workshop will highlight successful deployments and ongoing research in sectors such as finance, healthcare, logistics, and cybersecurity. Designed for both researchers and professionals, this gathering provides a unique opportunity to deepen both the theoretical foundations and practical implications of Quantum AI in today’s technological landscape.

Topics may include

  1. Finance: Quantum-enhanced portfolio optimization and risk modeling
  2. Marketing & Retail: Customer behavior modeling using quantum clustering and recommendation systems
  3. Healthcare: Drug discovery using quantum generative models and quantum-assisted diagnostics
  4. Manufacturing: Process optimization through quantum reinforcement learning
  5. Supply Chain & Logistics: Route optimization and demand forecasting with hybrid quantum models
  6. Cybersecurity: Quantum machine learning for anomaly detection and threat prediction
  7. Energy: Quantum AI applications in smart grid management and energy distribution optimization
  8. Telecommunications: Network traffic prediction using quantum-enhanced time series analysis
  9. Climate Science: Quantum AI for modeling complex environmental systems and forecasting

Organizers

  • Massimo Esposito (Institute for High Performance Computing and Networking – National Research Council of Italy, Italy)
  • Marco Pota (Institute for High Performance Computing and Networking – National Research Council of Italy, Italy)
  • Francesco Gargiulo (Institute for High Performance Computing and Networking – National Research Council of Italy, Italy)
  • Giuseppe De Pietro (Department of Information Science and Technology, Pegaso Telematic University, Italy)

Data: To Be Announced Soon