Yuan Su is a Postdoctoral Scholar Research Associate working on quantum computing at the Institute for Quantum Information and Matter, California Institute of Technology. His research focuses mainly on the theoretical side of quantum simulation, with the purpose of understanding and optimizing the performance of quantum algorithms for simulating quantum physics.
Su obtained his doctorate degree in Computer Science from the University of Maryland. His academic adviser was Andrew Childs. Contributions from his thesis “Algorithms for Quantum Simulation: Design, Analysis, Implementation, and Application” were recognized by the 2020 Larry S. Davis Doctoral Dissertation Award.
He is a recipient of the 2019 Google PhD Fellowship in quantum computing.
PhD in Computer Science, 2020
University of Maryland
MSc in Applied Mathematics, 2015
BEng in Computer Science, 2012
Beijing University of Posts and Telecommunications