Yuan Su | QuICS

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.

Publications

2022

Y. Tong, Albert, V. V., McClean, J. R., Preskill, J., and Su, Y., “Provably accurate simulation of gauge theories and bosonic systems”, Quantum, vol. 6, p. 816, 2022.

A. Y. Guo, Deshpande, A., Chu, S. - K., Eldredge, Z., Bienias, P., Devulapalli, D., Su, Y., Childs, A. M., and Gorshkov, A. V., “Implementing a Fast Unbounded Quantum Fanout Gate Using Power-Law Interactions”, Phys. Rev. Research, vol. 4, no. L042016, 2022.

2021

M. C. Tran, Su, Y., Carney, D., and Taylor, J. M., “Faster Digital Quantum Simulation by Symmetry Protection”, PRX Quantum, vol. 2, 2021.

A. M. Childs, Su, Y., Tran, M. C., Wiebe, N., and Zhu, S., “Theory of Trotter Error with Commutator Scaling”, Phys. Rev. X, vol. 11, no. 1, p. 49, 2021.

P. C. S. Costa, An, D., Sanders, Y. R., Su, Y., Babbush, R., and Berry, D. W., “Optimal scaling quantum linear systems solver via discrete adiabatic theorem”, 2021.

2020

S. Xu, Susskind, L., Su, Y., and Swingle, B., “A Sparse Model of Quantum Holography”, 2020.

M. C. Tran, Chu, S. - K., Su, Y., Childs, A. M., and Gorshkov, A. V., “Destructive Error Interference in Product-Formula Lattice Simulation”, Phys. Rev. Lett. , vol. 124, no. 220502, 2020.

D. W. Berry, Childs, A. M., Su, Y., Wang, X., and Wiebe, N., “Time-dependent Hamiltonian simulation with L1-norm scaling”, Quantum, vol. 4, no. 254, 2020.

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.

2019

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, Ostrander, A., and Su, Y., “Faster quantum simulation by randomization”, Quantum , vol. 3, no. 182, 2019.

Y. Su, “Framework for Hamiltonian simulation and beyond: standard-form encoding, qubitization, and quantum signal processing”, Quantum Views , vol. 3, no. 21, 2019.

M. C. Tran, Guo, A. Y., Su, Y., Garrison, J. R., Eldredge, Z., Foss-Feig, M., Childs, A. M., and Gorshkov, A. V., “Locality and digital quantum simulation of power-law interactions”, Phys. Rev. X 9, 031006, vol. 9, no. 031006, 2019.

2018

A. Gilyen, Su, Y., Low, G. Hao, and Wiebe, N., “Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics”, Proceedings of the 51st ACM Symposium on Theory of Computing , pp. 193-204, 2018.

Y. Su and Watrous, J., “Time-reversal of rank-one quantum strategy functions”, Quantum , vol. 2, no. 98, 2018.

Y. Nam, Ross, N. J., Su, Y., Childs, A. M., and Maslov, D., “Automated optimization of large quantum circuits with continuous parameters”, npj:Quantum Information, vol. 4, no. 23, 2018.

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.

2017

Z. Yang, Zhang, T., Lu, J., Su, Y., Zhang, D., and Duan, Y., “Extreme learning machines for regression based on V-matrix method”, Cognitive Neurodynamics, 2017.