Joined department: Fall 2013
My research lies at the intersection between physics (quantum mechanics, condensed matter, and statistical mechanics) and computer science. In particular there are three main directions:
1) Quantum computation and quantum information. We seek solutions to important computational problems that arise in physical sciences which are beyond what is feasible using classical computers.
2) Quantum complexity. This is an interesting intersection between condensed matter physics and theoretical computer science. In particular it has to do with fundamental questions such as how notions of computation based on quantum mechanics could change our understanding of the computational complexity landscape.
3) Statistical machine learning techniques. Many notions and techniques in large-scale machine learning and optimization algorithms are inspired by concepts in areas of physics such as statistical mechanics.