Publications

Journals

• Shouvanik Chakrabarti, Andrew M. Childs, Tongyang Li, Xiaodi Wu. Quantum algorithms and lower bounds for convex optimization, Quantum (to appear). (PDF)

Peer Reviewed Conferences with Proceedings

• Shouvanik Chakrabarti^*, Yiming Huang^*, Tongyang Li, Soheil Feizi, Xiaodi Wu. Quantum Wasserstein GANs, Proceedings of Advances in Neural Information Processing Systems 32 (NeurIPS), 2019 . (PDF)

• Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu. Sublinear quantum algorithms for training linear and kernel-based classifiers, Proceedings of the 36th International Conference on Machine Learning, 2019. (PDF)

Peer Reviewed Conferences without Proceedings

• Shouvanik Chakrabarti, Andrew M. Childs, Shih-Han Hung, Tongyang Li, Chunhao Wang, Xiaodi Wu. Quantum algorithm for estimating volumes of convex bodies, Contributed talk at the 23rd Annual Conference on Quantum Information Processing, 2019. (PDF)

• Shouvanik Chakrabarti, Andrew M. Childs, Tongyang Li, Xiaodi Wu. Quantum algorithms and lower bounds for convex optimization, Contributed talk at the 22nd Annual Conference on Quantum Information Processing, 2019. (PDF)

Manuscripts

• Shaopeng Zhu, Shih-Han Hung, Shouvanik Chakrabarti, and Xiaodi Wu. On the Principles of Differential Quantum Programming Languages, Manuscript, 2019. (PDF)