Research Scientist, CNRS / QC Ware
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 research director. 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 one of the first end-to-end quantum machine learning applications for recommendation systems, demonstration of quantum classification on trapped ion hardware and NISQ algorithms for Monte Carlo methods in Finance. He is currently working as Senior VP of Quantum Algorithms at QC Ware Corp.
Quantum Algorithms, Complexity, and Fault Tolerance, Spring 2024, Visiting Scientist
Summer Cluster on Quantum Computing, Summer 2023, Visiting Scientist
The Quantum Wave in Computing, Spring 2020, Visiting Scientist
Summer Cluster: Challenges in Quantum Computation, Summer 2018, Visiting Scientist
Quantum Hamiltonian Complexity, Spring 2014, Visiting Scientist