Xiaodi
Wu
Zhu, S., Hung, S.-H., Chakrabarti, S., & Wu, X. (2020). On the principles of differentiable quantum programming languages. In Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation (pp. 272–285). ACM. http://doi.org/10.1145/3385412.3386011 (Original work published June 2020)
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)