- Research
- Publications
2023
S. Chakrabarti, Childs, A. M., Hung, S. - H., Li, T., Wang, C., and Wu, X.,
“Quantum algorithm for estimating volumes of convex bodies”,
ACM Transactions on Quantum Computing, vol. 4, 2023.
2021
M. Pistoia, Ahmad, S. Farhan, Ajagekar, A., Buts, A., Chakrabarti, S., Herman, D., Hu, S., Jena, A., Minssen, P., Niroula, P., Rattew, A., Sun, Y., and Yalovetzky, R.,
“Quantum Machine Learning for Finance”, 2021.
2020
S. Chakrabarti, Childs, A. M., Li, T., and Wu, X.,
“Quantum algorithms and lower bounds for convex optimization”,
Quantum, vol. 4, no. 221, 2020.
2019
S. Chakrabarti, Huang, Y., Li, T., Feizi, S., and Wu, X.,
“Quantum Wasserstein Generative Adversarial Networks”,
Advances in Neural Information Processing Systems (NIPS), vol. 32, 2019.