224 citations · 549 across the 13 of their papers we have counts for
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Quantum Statistical Inference
Zhikuan Zhao
In this thesis, I present several results on quantum statistical inference in the following two directions. Firstly, I demonstrate that quantum algorithms can be applied to enhance…
Bayesian Deep Learning on a Quantum Computer
Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost +1
Bayesian methods in machine learning, such as Gaussian processes, have great advantages com-pared to other techniques. In particular, they provide estimates of the uncertainty asso…
Causal limit on quantum communication
Robert Pisarczyk, Zhikuan Zhao, Yingkai Ouyang +2
The capacity of a channel is known to be equivalent to the highest rate at which it can generate entanglement. Analogous to entanglement, the notion of a causality measure characte…
Smooth input preparation for quantum and quantum-inspired machine learning
Zhikuan Zhao, Jack K. Fitzsimons, Patrick Rebentrost +2
Machine learning has recently emerged as a fruitful area for finding potential quantum computational advantage. Many of the quantum enhanced machine learning algorithms critically…
Quantum algorithms for training Gaussian Processes
Zhikuan Zhao, Jack K. Fitzsimons, Michael A. Osborne +2
Gaussian processes (GPs) are important models in supervised machine learning. Training in Gaussian processes refers to selecting the covariance functions and the associated paramet…