Zhikuan Zhao

15 papers A* 2A 1B 1Journal 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Probing quantum causality with geometric asymmetry in spatial-temporal correlations.
Sci. China Inf. Sci.
Yu Meng, Zheng-Hao Liu, Zhikuan Zhao, Peng Yin, Yi-Tao Wang, Wei Liu, Zhi-Peng Li, Yuan-Ze Yang, Zhaoan Wang, Jin-Shi Xu, Shang Yu, Jian-Shun Tang, Chuan-Feng Li, Guang-Can Guo
2022 A* conf
Certifying Out-of-Domain Generalization for Blackbox Functions.
ICML
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022 J jnl
Certifying Out-of-Domain Generalization for Blackbox Functions.
CoRR
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022 A* conf
Improving Certified Robustness via Statistical Learning with Logical Reasoning.
NeurIPS
Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li
2021 J jnl
Compiling basic linear algebra subroutines for quantum computers.
Quantum Mach. Intell.
Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons
2021 A conf
Ease.ML: A Lifecycle Management System for Machine Learning.
CIDR
Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
2021 J jnl
Smooth input preparation for quantum and quantum-inspired machine learning.
Quantum Mach. Intell.
Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Joseph F. Fitzsimons
2020 B conf
A note on blind contact tracing at scale with applications to the COVID-19 pandemic.
ARES
Jack K. Fitzsimons, Atul Mantri, Robert Pisarczyk, Tom Rainforth, Zhikuan Zhao
2020 J jnl
A note on blind contact tracing at scale with applications to the COVID-19 pandemic.
CoRR
Jack K. Fitzsimons, Atul Mantri, Robert Pisarczyk, Tom Rainforth, Zhikuan Zhao
2020 J jnl
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines.
CoRR
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang
2020 J jnl
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing.
CoRR
Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao
2019 J jnl
Bayesian deep learning on a quantum computer.
Quantum Mach. Intell.
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
2018 J jnl
Bayesian Deep Learning on a Quantum Computer.
CoRR
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
2018 J jnl
Quantum algorithms for training Gaussian Processes.
CoRR
Zhikuan Zhao, Jack K. Fitzsimons, Michael A. Osborne, Stephen J. Roberts, Joseph F. Fitzsimons
2015 J jnl
Quantum assisted Gaussian process regression.
CoRR
Zhikuan Zhao, Jack K. Fitzsimons, Joseph F. Fitzsimons