Chunhao Wang

Liu, Z. ., Li, X. ., Wang, C. ., & Liu, J.-P. . (2024). Toward end-to-end quantum simulation for protein dynamics. ArXiv. Retrieved from https://arxiv.org/abs/2411.03972 (Original work published November 2024)

Chakrabarti, S. ., Childs, A. M., Hung, S.-H. ., Li, T. ., Wang, C. ., & Wu, X. . (2023). Quantum Algorithm for Estimating Volumes of Convex Bodies. ACM Transactions on Quantum Computing, 4, 1–60. http://doi.org/10.1145/3588579 (Original work published May 2023)

Childs, A. M., Li, T. ., Liu, J.-P. ., Wang, C. ., & Zhang, R. . (2024). Quantum algorithms for sampling log-concave distributions and estimating normalizing constants. In Advances in Neural Information Processing Systems (NeurIPS 2022). Red Hook, NY, USA: Curran Associates Inc. http://doi.org/10.5555/3600270.3601956 (Original work published April 2024)

Li, T. ., Wang, C. ., Chakrabarti, S. ., & Wu, X. . (2021). Sublinear Classical and Quantum Algorithms for General Matrix Games. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 8465–8473). Association for the Advancement of Artificial Intelligence (AAAI). http://doi.org/10.1609/aaai.v35i10.17028 (Original work published May 2021)

Chia, N.-H. ., Gilyen, A. ., Li, T. ., Lin, H.-H. ., Tang, E. ., & Wang, C. . (2020). Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing Quantum machine learning. In Proceedings of STOC 2020. ACM. http://doi.org/10.1145/3357713.3384314 (Original work published June 2020)

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)