Graduate Student

3105 Atlantic Building

(301) 314-1694

Yuan Su is a third-year doctoral student in computer science. His adviser is Andrew Childs.

“Locality and digital quantum simulation of power-law interactions”, Phys. Rev. X 9, 031006, vol. 9, no. 031006, 2019. ,

“Nearly optimal lattice simulation by product formulas”, Physical Review Letters, 2019. ,

“Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics”, Proceedings of the 51st ACM Symposium on Theory of Computing (to appear), 2018. ,

“Time-reversal of rank-one quantum strategy functions”, Quantum , vol. 2, no. 98, 2018. ,

“Automated optimization of large quantum circuits with continuous parameters”, npj:Quantum Information, vol. 4, no. 23, 2018. ,

“Toward the first quantum simulation with quantum speedup”, Proceedings of the National Academy of Sciences, vol. 115 , pp. 9456-9461, 2018. ,

“Extreme learning machines for regression based on V-matrix method”, Cognitive Neurodynamics, 2017. ,