Tongyang Li

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Graduate Student (2015-2020)

Tongyang Li received his PhD in Computer Science from the University of Maryland in 2020.  He received B.E. from Institute for Interdisciplinary Information Sciences, Tsinghua University and B.S. from Department of Mathematical Sciences, Tsinghua University, both in 2015; he also received a Master degree from Department of Computer Science, University of Maryland in 2018. He was a recipient of the IBM Ph.D. Fellowship and the NSF QISE-NET Triplet Award. His research focuses on designing quantum algorithms for optimization and machine learning.  Tongyang held a QuICS Lanczos Graduate Fellowship 2015-2017. He is a postdoc at MIT.



A. Gilyen and Li, T., Distributional property testing in a quantum world, Proceedings of ITCS 2020, vol. 25, no. 19, pp. 1-25, 2020.


S. Chakrabarti, Huang, Y., Li, T., Feizi, S., and Wu, X., Quantum Wasserstein Generative Adversarial Networks, Advances in Neural Information Processing Systems (NIPS), vol. 32, 2019.
T. Li and Wu, X., Quantum query complexity of entropy estimation, IEEE Transactions on Information Theory, vol. 65, no. 5, pp. 2899-2921, 2019.
T. Li, Chakrabarti, S., and Wu, X., Sublinear quantum algorithms for training linear and kernel-based classifiers, Proceedings of the 36th International Conference on Machine Learning (ICML 2019) PMLR , vol. 97, pp. 3815-3824, 2019.


F. G. S. L. Brandão, Kalev, A., Li, T., Lin, C. Yen- Yu, Svore, K. M., and Wu, X., Quantum SDP Solvers: Large Speed-ups, Optimality, and Applications to Quantum Learning, To appear at the 46th International Colloquium on Automata, Languages and Programming (ICALP 2019), 2018.


A. M. Childs and Li, T., Efficient simulation of sparse Markovian quantum dynamics, Quantum Information and Computation, vol. 17, pp. 901-947, 2017.