Daochen Wang

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Graduate Student
3105 Atlantic Building

Daochen Wang is a 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 are Profs. Andrew Childs and Carl Miller. 




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.