Yuan Su
Graduate Student (2015-2020)
Bio
Yuan Su was a PhD student in Computer Science at the University of Maryland from 2015 to 2020, researching quantum computing under the supervision of Dr. Andrew Childs. He received his bachelor's degree in Computer Science from the Beijing University of Posts and Telecommunications, and his master's degree in Applied Mathematics from Peking University. 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. He is a recipient of the 2019 Google PhD Fellowship in quantum computing. He is a Postdoctoral Scholar Research Associate at Caltech.
Recent Publications
Implementing a Fast Unbounded Quantum Fanout Gate Using Power-Law Interactions
, , Phys. Rev. Research, 4, 6, (2022)guo22.pdfguo22supp.pdfProvably accurate simulation of gauge theories and bosonic systems
, , Quantum, 6, 816, (2022)Optimal scaling quantum linear systems solver via discrete adiabatic theorem
, , arXiv, (2021)
Related Events
- April 1, 2020 1:00 pmDissertation Defense
- April 26, 2019 12:00 pmJQI-QuICS-CMTC Seminar
Nearly optimal lattice simulation by product formulas
Yuan Su(QuICS)
- March 2, 2018 4:00 pmJQI-QuICS-CMTC Seminar
Toward the first quantum simulation with quantum speedup
Yuan Su(Department of Computer Science, UMIACS, and QuICS)