Iordanis Kerenidis received his Ph.D. from the Computer Science Department at the University of California, Berkeley, in 2004, under Umesh Vazirani. After a two-year postdoctoral position at the Massachusetts Institute of Technology with Peter Shor, he joined the Centre National de Recherche Scientifique CNRS in Paris as a permanent researcher. He has been the coordinator of a number of EU-funded projects including an ERC Grant, and he is the founder and director of the Paris Centre for Quantum Computing. His research is focused on quantum algorithms for machine learning and optimization, including work on recommendation systems, classification and clustering. He is currently working as the Head of Quantum Algorithms Int. at QC Ware Corp.
Quantum algorithms for Machine Learning and Optimization [English]
We will survey a number of recent results that shed light on the prospects and challenges of quantum algorithms for the areas of machine learning and optimization.