Tongyang Li

Li, T. ., Chakrabarti, S. ., & Wu, X. . (2019). Sublinear quantum algorithms for training linear and kernel-based classifiers. Proceedings of the 36th International Conference on Machine Learning (ICML 2019) PMLR, 97, 3815–3824. Retrieved from https://arxiv.org/abs/1904.02276 (Original work published April 2019)

Chia, N.-H. ., Li, T. ., Lin, H.-H. ., & Wang, C. . (2020). Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming. In 45th International Symposium on Mathematical Foundations of Computer Science (MFCS 2020). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. http://doi.org/10.4230/LIPICS.MFCS.2020.23 (Original work published August 2020)

Li, T. ., & Wu, X. . (2018). Quantum query complexity of entropy estimation. IEEE Transactions on Information Theory, 65, 2899–2921. http://doi.org/10.1109/TIT.2018.2883306 (Original work published May 2018)

Brandão, F. G. S. L., Kalev, A. ., Li, T. ., Lin, C. ., Svore, K. ., & Wu, X. . (2019). Quantum SDP Solvers: Large Speed-Ups, Optimality, and Applications to Quantum Learning. In C. . Baier, I. . Chatzigiannakis, P. . Flocchini, & S. . Leonardi (Eds.), 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019) (Vol. 132, pp. 27:1–27:14). Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik. http://doi.org/10.4230/LIPIcs.ICALP.2019.27 (Original work published July 2019)

Brandão, F. G. S. L., Kalev, A. ., Li, T. ., Lin, C. ., Svore, K. ., & Wu, X. . (2017). Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning. ArXiv. Retrieved from https://arxiv.org/abs/1710.02581 (Original work published October 2017)

Childs, A. M., & Li, T. . (2017). Efficient simulation of sparse Markovian quantum dynamics. Quantum Information and Computation, 17, 901–947. http://doi.org/10.26421/QIC17.11-12 (Original work published September 2017)

Childs, A. M., Leng, J. ., Li, T. ., Liu, J.-P. ., & Zhang, C. . (2022). Quantum simulation of real-space dynamics. Quantum, 6, 860. http://doi.org/10.22331/q-2022-11-17-860 (Original work published November 2022)

Zhao, Q. ., Zhou, Y. ., Shaw, A. ., Li, T. ., & Childs, A. M. (2022). Hamiltonian Simulation with Random Inputs. Physical Review Letters, 129. http://doi.org/10.1103/physrevlett.129.270502 (Original work published December 2022)