Xiaodi Wu

Chakrabarti, S. ., Childs, A. M., Li, T. ., & Wu, X. . (2020). Quantum algorithms and lower bounds for convex optimization. Quantum, 4. http://doi.org/10.22331/q-2020-01-13-221 (Original work published January 2020)

Chakrabarti, S. ., Huang, Y. ., Li, T. ., Feizi, S. ., & Wu, X. . (2019). Quantum Wasserstein Generative Adversarial Networks. Advances in Neural Information Processing Systems (NIPS), 32. http://doi.org/https://papers.nips.cc/paper/8903-quantum-wasserstein-generative-adversarial-networks.pdf (Original work published October 2019)

Hietala, K. ., Rand, R. ., Hung, S.-H. ., Wu, X. ., & Hicks, M. . (2019). Verified Optimization in a Quantum Intermediate Representation. ArXiv. Retrieved from https://arxiv.org/abs/1904.06319 (Original work published April 2019)

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)

Harrow, A. ., Natarajan, A. ., & Wu, X. . (2019). Limitations of semidefinite programs for separable states and entangled games. Commun. Math. Phys., 366. http://doi.org/10.1007/s00220-019-03382-y (Original work published March 2019)

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)

Hung, S.-H. ., Hietala, K. ., Zhu, S. ., Ying, M. ., Hicks, M. ., & Wu, X. . (2018). Quantitative Robustness Analysis of Quantum Programs (Extended Version). Proc. ACM Program. Lang., 3, Article 31. http://doi.org/10.1145/3290344 (Original work published December 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)

Chen, Y.-H. ., Chung, K.-M. ., Lai, C.-Y. ., Vadhan, S. ., & Wu, X. . (2017). Computational Notions of Quantum Min-Entropy. ArXiv. Retrieved from https://arxiv.org/abs/1704.07309 (Original work published April 2017)