Yuan Su

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Graduate Student (2015-2020)

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.





X. Wang, Wilde, M. M., and Su, Y., Efficiently computable bounds for magic state distillation, Phys. Rev. Lett. , vol. 124, no. 090505, 2020.
Y. Nam, Su, Y., and Maslov, D., Approximate Quantum Fourier Transform with O(nlog(n)) T gates, npj Quantum Information , vol. 6, no. 26, 2020.


A. M. Childs and Su, Y., Nearly optimal lattice simulation by product formulas, Phys. Rev. Lett. , vol. 123, no. 050503, 2019.
X. Wang, Wilde, M. M., and Su, Y., Quantifying the magic of quantum channels, New Journal of Physics, vol. 21, no. 103002, 2019.


A. M. Childs, Maslov, D., Nam, Y., Ross, N. J., and Su, Y., Toward the first quantum simulation with quantum speedup, Proceedings of the National Academy of Sciences, vol. 115 , pp. 9456-9461, 2018.