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Certifying Out-of-Domain Generalization for Blackbox Functions


Feb 03, 2022
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang


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Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing


Sep 21, 2020
Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao

* 25 pages, 4 figures 

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End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines


Mar 06, 2020
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang

* 43 pages, 9 figures 

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Bayesian Deep Learning on a Quantum Computer


Jul 09, 2018
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek

* 13 pages, 5 figures, code is available at https://gitlab.com/apozas/bayesian-dl-quantum/ 

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A note on state preparation for quantum machine learning


Apr 01, 2018
Zhikuan Zhao, Vedran Dunjko, Jack K. Fitzsimons, Patrick Rebentrost, Joseph F. Fitzsimons


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Quantum algorithms for training Gaussian Processes


Mar 28, 2018
Zhikuan Zhao, Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph F. Fitzsimons

* 5 pages. Comments welcome 

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Quantum assisted Gaussian process regression


Dec 12, 2015
Zhikuan Zhao, Jack K. Fitzsimons, Joseph F. Fitzsimons

* 4 pages. Comments welcome 

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