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Quantum Machine Learning for Finance


Sep 09, 2021
Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur Rattew, Yue Sun, Romina Yalovetzky


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Sublinear classical and quantum algorithms for general matrix games


Dec 11, 2020
Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu

* 16 pages, 2 figures. To appear in the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) 

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On the Principles of Differentiable Quantum Programming Languages


Apr 02, 2020
Shaopeng Zhu, Shih-Han Hung, Shouvanik Chakrabarti, Xiaodi Wu

* Codes are available at https://github.com/LibertasSpZ/adcompile 

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Quantum Wasserstein Generative Adversarial Networks


Oct 31, 2019
Shouvanik Chakrabarti, Yiming Huang, Tongyang Li, Soheil Feizi, Xiaodi Wu

* Accepted to the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Codes are available at https://github.com/yiminghwang/qWGAN 

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Sublinear quantum algorithms for training linear and kernel-based classifiers


Apr 04, 2019
Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu

* 31 pages, 1 figure 

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