# Bayesian Phase Estimation via Active Learning

@inproceedings{Qiu2021BayesianPE, title={Bayesian Phase Estimation via Active Learning}, author={Yuxiang Qiu and Min Zhuang and Jiahao Huang and Chaohong Lee}, year={2021} }

Bayesian estimation approaches, which are capable of combining the information of experimental data from different likelihood functions to achieve high precisions, have been widely used in phase estimation via introducing a controllable auxiliary phase. Here, we present a non-adaptive Bayesian phase estimation (BPE) algorithms with an ingenious update rule of the auxiliary phase designed via active learning. Unlike adaptive BPE algorithms, the auxiliary phase in our algorithm is determined by a…

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