Quantum Computing for Optimization and Machine Learning
Shouvanik Chakrabarti is a PhD student in the Department of Computer Science advised by Dr. Xiaodi Wu. His research focusses mainly on provable and variational quantum algorithms for important applications in optimization, machine learning, and finance. He is also interested in classical machine learning and theoretical computer science in general.
This talk is organized by Tom Hurst