Prospects and Challenges for Quantum Machine Learning - Class 1

Explore the cutting-edge field of quantum machine learning in this comprehensive lecture by Marco Cerezo from Los Alamos National Laboratory. Delve into the promising prospects and complex challenges facing this emerging discipline as Cerezo provides expert insights on the intersection of quantum computing and machine learning. Gain a deeper understanding of how quantum technologies could revolutionize artificial intelligence and data analysis, while also examining the obstacles that researchers must overcome. Suitable for advanced students and professionals in physics, computer science, and related fields, this 84-minute talk offers a valuable introduction to the current state and future potential of quantum machine learning.

Marco Cerezo: Prospects and Challenges for Quantum Machine Learning - Class 1