REVIEW 3 minor 2 cited by
Doubly minimized Petz and sandwiched Renyi mutual information: Operational interpretation from binary quantum state discrimination
T0 review · 0 major / 3 minor · reviewed 2026-05-23 · grok-4.3
Pith's one-line read Binary quantum discrimination for correlations shows that the direct exponent equals the doubly minimized Petz Renyi mutual information for alpha in (1/2,1) while the strong converse equals the sandwiched version for alpha greater than 1.
desk verdict The paper gives operational meanings to the doubly minimized Petz and sandwiched Renyi mutual informations as direct and strong-converse exponents in quantum correlation-detection tasks, extending the classical case. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
Doubly minimized Petz and sandwiched Renyi mutual information, obtained by taking the minimum of the respective divergence over all product states, which directly set the exponential rates in correlation-detection discrimination tasks.
What would settle it
A concrete pair of quantum states and measurement strategy where the observed direct exponent in a correlation detection task differs from the value of the doubly minimized Petz Renyi mutual information at the corresponding alpha.
Extended reading notes
Core claim
In binary quantum state discrimination problems related to correlation detection, the direct exponent is determined by the doubly minimized Petz Renyi mutual information of order α ∈ (1/2,1), and the strong converse exponent is determined by the doubly minimized sandwiched Renyi mutual information of order α ∈ (1,∞). This provides an operational interpretation of these types of Renyi mutual information and generalizes previous results for classical probability distributions to the quantum setting. For completeness, the corresponding moderate deviation regime both below and above the threshold is also studied, along with the Stein exponent and the second-order asymptotics.
Load-bearing premise
That the binary discrimination problems examined, with the minimum taken over product states, correctly isolate the correlation quantities that control the error exponents.
Editorial extensions
If this is right
- The direct exponent in correlation detection discrimination is given exactly by the doubly minimized Petz Renyi mutual information for α in (1/2,1).
- The strong converse exponent is given exactly by the doubly minimized sandwiched Renyi mutual information for α greater than 1.
- Moderate deviation probabilities are characterized in both the sub- and super-threshold regimes.
- The Stein exponent and second-order asymptotic terms are determined for the same family of tasks.
Reading between the lines
- The same minimization technique could be applied to other quantum divergences to obtain operational meanings in related discrimination settings.
- These quantities may provide bounds on the resources needed to detect correlations in larger multipartite systems.
- Classical methods for computing Renyi information exponents may transfer to the quantum case once the correct divergence is chosen.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript defines the doubly minimized Petz Renyi mutual information of order α as the minimum of the Petz divergence D_α(ρ || σ) over all product states σ, and defines the doubly minimized sandwiched Renyi mutual information analogously using the sandwiched divergence. It considers binary quantum state discrimination tasks for correlation detection (one joint state versus product states) and proves that the direct error exponent equals the doubly minimized Petz quantity for α ∈ (1/2,1) while the strong-converse exponent equals the doubly minimized sandwiched quantity for α ∈ (1,∞). Additional results establish the moderate-deviations rate, the Stein exponent, and second-order asymptotics, generalizing prior classical results to the quantum setting.
Significance. If the claimed exponent equalities hold, the work supplies operational meanings for these doubly minimized Renyi mutual informations via concrete discrimination tasks, extending classical correlation measures to quantum states. The inclusion of direct, strong-converse, moderate-deviation, Stein, and second-order regimes provides a comprehensive asymptotic picture. The manuscript ships explicit mathematical proofs of the exponent identifications, which is a clear strength.
minor comments (3)
- [Abstract] Abstract: the ranges α ∈ (1/2,1) and α ∈ (1,∞) are stated without cross-reference to the theorem that establishes the corresponding exponent equalities; adding a pointer to the relevant result would improve readability.
- [Section 2 or 3 (definitions)] The definition of the binary discrimination problem (hypothesis H0: joint state ρ versus H1: product states) should be stated with an explicit equation number in the main text so that later exponent claims can cite it directly.
- [Throughout] Notation for the doubly minimized quantities (e.g., I_α^min or similar) should be introduced once and used consistently; occasional re-use of the full descriptive phrase creates minor ambiguity.
Simulated Author's Rebuttal
We thank the referee for the positive assessment of the manuscript, the clear summary of its contributions, and the recommendation for minor revision. No major comments were raised in the report.
Circularity Check
No circularity: definitions precede independent operational proofs
full rationale
The doubly minimized Petz and sandwiched Renyi mutual informations are defined first as explicit minimizations of the respective divergences over all product states. The paper then proves (via direct achievability and converse arguments) that these quantities equal the direct exponent and strong-converse exponent, respectively, in independently specified binary hypothesis-testing tasks for correlation detection. No step reduces the claimed equality to a definition, a fitted parameter, or a self-citation chain; the discrimination setup and error exponents are external to the information quantities. This is the standard, non-circular route to operational interpretation.
Assumptions & free parameters
assumptions (1)
- standard math Petz and sandwiched Renyi divergences satisfy the necessary monotonicity and data-processing properties in the quantum setting
Cite this review
Pith. "Pith review of Doubly minimized Petz and sandwiched Renyi mutual information: Operational interpretation from binary quantum state discrimination." pith.science (2026). https://pith.science/paper/2406.03213
@misc{pith2026240603213,
author = {Pith},
title = {Pith review of: Doubly minimized Petz and sandwiched Renyi mutual information: Operational interpretation from binary quantum state discrimination},
year = {2026},
howpublished = {\url{https://pith.science/paper/2406.03213}},
note = {Machine review of arXiv:2406.03213}
}
abstract
The doubly minimized Petz Renyi mutual information of order $\alpha$ is defined as the minimum of the Petz divergence of order $\alpha$ of a given bipartite quantum state relative to all product states. The doubly minimized sandwiched Renyi mutual information is defined analogously, with the Petz divergence replaced by the sandwiched divergence. In this work, we study certain binary quantum state discrimination problems related to correlation detection. We show that the corresponding direct exponent is determined by the doubly minimized Petz Renyi mutual information of order $\alpha\in (1/2,1)$, and that the strong converse exponent is determined by the doubly minimized sandwiched Renyi mutual information of order $\alpha\in (1,\infty)$. This provides an operational interpretation of these types of Renyi mutual information and generalizes previous results for classical probability distributions to the quantum setting. For completeness, we also study the corresponding moderate deviation regime both below and above the threshold, and determine the Stein exponent and the second-order asymptotics.
Figures
Forward citations
Cited by 2 Pith papers
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Alternating minimization for computing doubly minimized Petz Renyi mutual information
Alternating minimization provably computes the doubly minimized Petz Rényi mutual information for all quantum states, with linear convergence for α∈(1,2] and O(1/n) convergence for α∈(1/2,1).
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Doubly minimized Petz and sandwiched Renyi mutual information: Properties
Proves additivity of doubly minimized Petz Renyi mutual information for alpha in [1/2,2] and a novel duality plus additivity for the sandwiched version for alpha in [2/3, infinity] via Sion's minimax theorem.
Reference graph
Works this paper leans on
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[1]
Proof of (a), (b), (c), (e), (g), (h), (i), (j), (k), (l)
Proof of Proposition 12 We prove the listed items not in alphabetical order, but in a d ifferent order. Proof of (a), (b), (c), (e), (g), (h), (i), (j), (k), (l). These properties follow from the correspond- ing properties of the sandwiched divergence, see Propositi on 2. In particular, (e) follows from the non-negativity of the sandwiched divergence becau...
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[2]
Proof of Proposition 13 Proof of (a), (e), (k), (o). These properties follow from the corresponding properties of the sand- wiched divergence, see Proposition 2. In particular, (o) follows from the additivity and positiv e definiteness of the sandwiched divergence. Proof of (h), (j), (l), (m). These properties have been proved in previous work. For (h) a n...
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[3]
Proof of Proposition 3 Proof of (a). This assertion follows from the symmetry of the definition of the non-minimized SRMI in ( 2.23) with respect to A and B. Proof of (b), (c), (d), (e), (f ), (h), (i), (j), (k), (l), (m), (n). Since ˜I ↑↑ α (A : B)ρ = ˜I ↑ α(ρAB∥ρA), these properties follow from the corresponding properties of the non-minimized generalize...
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[4]
Proof of Proposition 4 Proof of (a), (b), (c), (d), (e), (g), (h), (i), (j), (k), (l), (m), (n), (o), (p), (s). These properties follow from the corresponding properties of the minimized g eneralized SRMI since ˜I ↑↓ α (A : B)ρ = ˜I ↓ α(ρAB∥ρA), see Proposition 13. Proof of (q). By duality (d), ˜I ↑↓ α (A : B)ρ = − ˜D α 2α− 1 (ρA∥ρ− 1 A ) = 2 H 1 2α− 1 (A...
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[5]
Lemma 14 (Multiplicativity from fixed-point property)
Lemma for Theorem 5 (d) The following lemma is a consequence of a lemma from previous work [ 14, Lemma 16] that asserts a general equivalence of optimizers and fixed-point s (see also [ 18, Lemma 22]). Lemma 14 (Multiplicativity from fixed-point property) . Let ρAC ∈ S (AC), ρ′ DF ∈ S (DF ), µC ∈ S(C), µ′ F ∈ S (F ). Then all of the following hold. (a) For ...
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[6]
Proof of Theorem 5 Proof of (a). This assertion follows from the symmetry of the definition of the doubly minimized SRMI in ( 2.25) with respect to A and B. Proof of (b), (f ), (i), (k), (l), (p). Since ˜I ↓↓ α (A : B)ρ = inf σA∈S (A) ˜I ↓ α(ρAB∥σA), these properties follow from the corresponding properties of the minimized g eneralized SRMI, see Propositi...
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[7]
Proof of Theorem 6 First, we will derive the bounds on the right-hand side of ( 3.17). Let ρAB ∈ S (AB). Then, for any R ∈ [0, ∞ ) 0 = lim s→ 1+ s − 1 s (R − ˜I ↓↓ s (A : B)ρ) ≤ sup s∈ (1,∞ ) s − 1 s (R − ˜I ↓↓ s (A : B)ρ) (E.1) 35 ≤ max(0, sup s∈ (1,∞ ) (R − ˜I ↓↓ s (A : B)ρ)) = max(0 , R − I(A : B)ρ) (E.2) due to the monotonicity and continuity of the d...
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[8]
> 0, see ( E.11). Thus, we can infer from the combination of [ 18, Proposition 17] with ( E.22) that lim sup n→∞ − 1 n log Pr[Zn ≥ 0] ≤ sup t∈ (0,t0− 1) − Λ(t) = sup t∈ (1,t0) − Λ(t − 1) (E.23a) = sup t∈ (1,t0) (− φ(t) + (t − 1)φ′(ˆs)) (E.23b) = − φ(ˆs) + (ˆs − 1)φ′(ˆs) (E.23c) = − φ(ˆs) + ˆs − 1 ˆs (R + φ(ˆs)) = ˆs − 1 ˆs (R − ˜I ↓↓ ˆs (A : B)ρ). (E.23d)...
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Let ρAB ∈ S (AB) be separable and such that ρAB ̸= ρA ⊗ ρB and I(A : B)ρ ̸= ˜I ↓↓ ∞ (A : B)ρ
Example for Remark 3 Suppose dA ≥ 2, dB ≥ 2. Let ρAB ∈ S (AB) be separable and such that ρAB ̸= ρA ⊗ ρB and I(A : B)ρ ̸= ˜I ↓↓ ∞ (A : B)ρ. (For instance, one may consider a copy-CC state ρAB as in [ 14, Figure 2].) Consider now the left-hand side of ( 3.17) with ˆαn,ρ replaced...
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Let ρAB ∈ S (AB) be such that V (A : B)ρ ̸= 0
Proof for Remark 4 Proof. Let ρAB ∈ S (AB) be such that V (A : B)ρ ̸= 0. By Theorem 5 (l), (n) it follows that there exists α0 ∈ (1, ∞ ) such that I ↓↓ α (A : B)ρ is strictly monotonically increasing for α ∈ [1, α0]. Let R be defined as in ( 3.19) and let R(1) := I(A : B)ρ. By ...
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