Test-measured Rényi divergences
Abstract: One possibility of defining a quantum R\'enyi -divergence of two quantum states is to optimize the classical R\'enyi -divergence of their post-measurement probability distributions over all possible measurements (measured R\'enyi divergence), and maybe regularize these quantities over multiple copies of the two states (regularized measured R\'enyi -divergence). A key observation behind the theorem for the strong converse exponent of asymptotic binary quantum state discrimination is that the regularized measured R\'enyi -divergence coincides with the sandwiched R\'enyi -divergence when $\alpha>1$. Moreover, it also follows from the same theorem that to achieve this, it is sufficient to consider $2$-outcome measurements (tests) for any number of copies (this is somewhat surprising, as achieving the measured R\'enyi -divergence for copies might require a number of measurement outcomes that diverges in , in general). In view of this, it seems natural to expect the same when $\alpha<1$; however, we show that this is not the case. In fact, we show that even for commuting states (classical case) the regularized quantity attainable using $2$-outcome measurements is in general strictly smaller than the R\'enyi -divergence (which is unique in the classical case). In the general quantum case this shows that the above "regularized test-measured" R\'enyi -divergence is not even a quantum extension of the classical R\'enyi divergence when $\alpha<1$, in sharp contrast to the $\alpha>1$ case.
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