Square-root remainder in generalized quantum equipartition
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Problem
Let \(H\) be a \(d\)-dimensional Hilbert space. For each \(n\), let \(\mathcal A_n\subseteq\mathcal D(H^{\otimes n})\) and \(\mathcal B_n\subseteq\mathcal L(H^{\otimes n})_+\) be nonempty compact, convex, permutation-invariant sets, each closed under tensor products. For a positive-operator set \(\mathcal C\), define its positive polar by
Assume that both families of polars from Eq. (1) satisfy
In addition to Eq. (2), assume that some constant \(C<\infty\) satisfies
for all \(\rho_n\in\mathcal A_n\) and \(\sigma_n\in\mathcal B_n\). The linear growth condition in Eq. (3) uses \(D_{\max}(\rho\|\sigma):=\inf\{\lambda:\rho\leq2^\lambda\sigma\}\). For positive operators \(\rho\) and \(\sigma\), define
where \(D(\rho\|\sigma)=+\infty\) unless \(\operatorname{supp}\rho\subseteq\operatorname{supp}\sigma\). Define the divergences between the two sets from Eq. (4) by
The two quantities in Eq. (5) determine the first- and finite-blocklength orders of interest. Set
Does every fixed \(\varepsilon\in(0,1)\) admit a constant \(K_\varepsilon<\infty\) such that, for all sufficiently large \(n\),
Source
Fang, Fawzi, and Fawzi establish an \(O(n^{2/3}\log n)\) generalized equipartition remainder and explicitly leave improvement to the \(O(\sqrt n)\) scale open [FFF26].
Progress
For two fixed i.i.d. states, quantum hypothesis testing has the second-order expansion
\begin{equation} D_H^\varepsilon(\rho^{\otimes n}\|\sigma^{\otimes n}) =nD(\rho\|\sigma) +\sqrt{nV(\rho\|\sigma)}\,\Phi^{-1}(\varepsilon)+O(\log n), \tag{8} \end{equation}where \(V\) is the relative-entropy variance and \(\Phi\) is the standard normal distribution function [Li14].
Under the assumptions in the problem, the generalized quantum asymptotic equipartition property proves the first-order limit in Eq. (6) for every fixed error [FFF26].
The best general quantitative estimate currently established is
\begin{equation} D_H^\varepsilon(\mathcal A_n\|\mathcal B_n) -nD^\infty(\mathcal A\|\mathcal B) =O(n^{2/3}\log n) \tag{9} \end{equation}at fixed \(\varepsilon\). The authors explicitly leave replacement of Eq. (9) by the square-root scale in Eq. (7) open [FFF26].
Comment
Equation (7) asks only for a universal order bound. Identifying a Gaussian coefficient analogous to the variance term in Eq. (8) would be a strictly stronger problem.