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R\'enyi divergences and binary state discrimination error exponents for fermionic quasi-free states
Key Points
Announce Type: cross Abstract: The trade-off relations between the two types of error probabilities in binary i.i.d. quantum state discrimination can be expressed by single-copy formulas in terms of the Petz-type and the sandwiched R\'enyi divergences of the two states representing the two hypotheses. setting, the error exponents can usually be expressed in terms of regularized R\'enyi divergences, which do not admit explicit formulas in general.
arXiv:2605.31379v1 Announce Type: cross
Abstract: The trade-off relations between the two types of error probabilities in binary i.i.d. quantum state discrimination can be expressed by single-copy formulas in terms of the Petz-type and the sandwiched R\'enyi divergences of the two states representing the two hypotheses. In the non-i.i.d. setting, the error exponents can usually be expressed in terms of regularized R\'enyi divergences, which do not admit explicit formulas in general. Here, we consider a class of states, translation-invariant and gauge-invariant quasifree states on doubly infinite fermionic chains, and give explicit formulas for a wide range of regularized R\'enyi divergences between such states, including $(\alpha,z)$, log-Euclidean, maximal, measured, and the recently introduced integral R\'enyi divergences. We show that the case where there is a single mode at each lattice site becomes asymptotically classical, with all the different types of regularized R\'enyi divergences being equal, while in the case of multiple modes per site, non-commutativity persists under regularization, and for any fixed $\alpha$, the regularized R\'enyi $(\alpha,z)$-divergences give different regularized values for different $z$ parameters in general. We also generalize a previous construction from [Bunth, Mar\'oti, Mosonyi, Zimbor\'as, Lett.~Math.~Phys.~113:(7), 2023] to the case of multiple modes per lattice site to obtain a large class of states exhibiting super-exponential decay of the discrimination error probabilities.