Guoming Wang

guoming-wang's picture
Postdoctoral Scholar
3100L Atlantic Building
(301) 314-1836

Guoming Wang is a postdoctoral researcher in QuICS. His research focuses on quantum algorithms and quantum complexity theory. In particular, he seeks to develop novel quantum algorithms for solving linear equations and differential equations and to understand the limitation of quantum computers for these tasks. He received his doctorate in computer science from UC Berkeley in 2014. Wang held a postdoctoral fellow position in the Institute for Quantum Computing at the University of Waterloo between 2014 and 2015.

Publications

2017

G. Wang, Quantum Algorithm for Linear Regression, Physical Review A, vol. 96, p. 012335, 2017.
G. Wang, Efficient quantum algorithms for analyzing large sparse electrical networks, Quantum Information & Computation, vol. 17, no. 11&12, pp. 987-1026, 2017.
D. W. Berry, Childs, A. M., Ostrander, A., and Wang, G., Quantum algorithm for linear differential equations with exponentially improved dependence on precision, in to be presented at the 17th Asian Quantum Information Science Conference (AQIS’17), 2017.

2015

S. Gharibian, Landau, Z., Shin, S. Woo, and Wang, G., Tensor network non-zero testing, Quantum Information & Computation, vol. 15, no. 9-10, pp. 885-899, 2015.

2014