Daochen Wang

daochen-wang's picture
Graduate Student (2019-2023)
3105 Atlantic Building

Daochen Wang was a QuICS doctoral student in mathematics with interest in quantum algorithms, information and complexity. Prior to joining QuICS, he worked on near-term quantum algorithms under the supervision of Dr. Stephen Brierley at Riverlane, UK. His advisors were Profs. Andrew Childs and Carl Miller. Daochen received his PhD in Mathematics in 2023.  After completing his Ph.D., Daochen became an Assistant Professor of Computer Science at the University of British Columbia.





D. Wang, You, X., Li, T., and Childs, A. M., Quantum exploration algorithms for multi-armed bandits, Proceedings of the 35th Conference on Artificial Intelligence (AAAI 2021), vol. 35, no. 11, pp. 10102-10110, 2021.
D. Wang, Sundaram, A., Kothari, R., Kapoor, A., and Roetteler, M., Quantum Algorithms for Reinforcement Learning with a Generative Model, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, 2021.


S. Ben-David, Childs, A. M., Gilyen, A., Kretschmer, W., Podder, S., and Wang, D., Symmetries, graph properties, and quantum speedups, in Proceedings of the 61st IEEE Symposium on Foundations of Computer Science (FOCS 2020), pp. 649–660 (2020), 2020.


D. Wang, Higgott, O., and Brierley, S., Accelerated Variational Quantum Eigensolver, Phys. Rev. Lett. , vol. 122, no. 140504 , 2019.