Download Asymptotic Theory Of Quantum Statistical Inference: Selected by Masahito Hayashi PDF

By Masahito Hayashi

Quantum statistical inference, a learn box with deep roots within the foundations of either quantum physics and mathematical information, has made amazing growth in view that 1990. particularly, its asymptotic conception has been built in this interval. in spite of the fact that, there has hitherto been no booklet protecting this amazing development after 1990; the well-known textbooks by way of Holevo and Helstrom deal in basic terms with study ends up in the sooner degree (1960s-1970s). This booklet offers the $64000 and up to date result of quantum statistical inference. It specializes in the asymptotic idea, that's one of many principal problems with mathematical records and had no longer been investigated in quantum statistical inference till the early Eighties. It comprises impressive papers after Holevo's textbook, a few of that are of serious value yet usually are not to be had now. The reader is predicted to have simply simple mathematical wisdom, and hence a lot of the content material can be obtainable to graduate scholars in addition to examine employees in comparable fields. Introductions to quantum statistical inference were specifically written for the e-book. Asymptotic concept of Quantum Statistical Inference: chosen Papers will supply the reader a brand new perception into physics and statistical inference.

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24) Assume now that λ > D(ρ||σ). Then ϕ(λ) > 0 and 1 − ε − e−nϕ(λ) > 0 for sufficiently large n. Thus (24) yields 1 1 log βn∗ (ε) ≥ −λ + log(1 − ε − e−nϕ(λ) ), n n and hence 1 lim inf log βn∗ (ε) ≥ −λ. n→∞ n Since λ can be arbitrarily close to D(ρ||σ), (23) has been proved. 5. The Strong Converse Property For each r > 0, there uniquely exists a number λ∗ = λ∗ (r) such that ϕ(λ∗ ) = r − λ∗ (see Fig. 2), and we define u(r) = ϕ(λ∗ (r)) = r − λ∗ (r). def Theorem 6: For any test {An } and any r > 0, if 1 lim sup log βn (An ) ≤ −r n→∞ n then 1 lim sup log(1 − αn (An )) ≤ −u(r).

In particular we have limn→∞ n1 Sco (ωn , ϕn ) = S(ω, ϕ) for every state ω of A. This has an interesting corollary that SBS (ω, ϕ) ≥ S(ω, ϕ) for all states ω and ϕ of A. Moreover for n ≥ 1 and 0 < ε < 1 let us introduce the following quantities: βε (ψn , ϕn ) = inf log ϕn (q) : q is a projection in ⊗n1 A with ψn ≥ 1 − ε (6) and Spr (ψn , ϕn ) = sup ψn (q) log ψn (q) 1 − ψn (q) + (1 − ψn (q)) log : ϕn (q) 1 − ϕn (q) q is a projection in ⊗n1 A . (7) The quantity βε (ψn , ϕn ) has a natural meaning from the viewpoint of quantum hypothesis testing (cf.

23, 57–65 (1986). [15] A. Uhlmann, “Relative entropy and the Wigner-Yanase-Dyson-Lieb concavity in an interpolation theory,” Commun. Math. , 54, 21–32 (1977). entire December 28, 2004 13:56 WSPC / Master file for review volume with part divider — 9in x 6in CHAPTER 3 The Proper Formula for Relative Entropy and its Asymptotics in Quantum Probability Fumio Hiai and D´enes Petz Abstract. Umegaki’s relative entropy S(ω, ϕ) = Tr Dω (log Dω − log Dϕ ) (of states ω and ϕ with density operators Dω and Dϕ , respectively) is shown to be an asymptotic exponent considered from the quantum hypothesis testing viewpoint.

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