We introduce sequential analysis in quantum information processing, by focusing on the fundamental task of hypothesis testing. In particular our goal is to discriminate between two arbitrary states with a prescribed error threshold, $\epsilon$, when copies can be required demand. obtain ultimate lower bounds average number needed accomplish task. give block-sampling strategy that allows achieve...

The problem of robust hypothesis testing is studied, where under the null and alternative hypotheses, data-generating distributions are assumed to be in some uncertainty sets, goal design a test that performs well worst-case over sets. In this paper, sets constructed data-driven manner using kernel method, i.e., they centered around empirical training samples from respectively; constrained via ...