Strong converse theorems in the quantum information theory

Strong converse theorems for two different subjects in quantum information theory are presented. First, we show a lower bound on the probability of decoding error for a quantum communication channel, from which the strong converse to the quantum channel coding theorem is obtained. Second, we give the strong converse theorem for the quantum hypothesis testing as an application of a new inequality on the error probabilities. This inequality is also used to establish the quantum Stein's lemma.