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arXiv:2608.15833

Geodesic Quantum fff-Divergences

Ángela Capel, Pablo Costa Rico

quant-phcs.ITmath-phSubmitted Aug 16, 2026• Announced Aug 18, 2026
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Abstract

We introduce the geodesic quantum $f$-divergences $D_f^t$, $0\leq t\leq1$, obtained from the affine-invariant geodesic between the standard and maximal relative modular operators. They reduce to the classical $f$-divergence for commuting states. The logarithmic generator yields geodesic relative entropies joining the Umegaki and Belavkin-Staszewski entropies, while the power generators yield $(t,α)$-Rényi divergences joining the Petz and geometric families. Our first main result is data processing of $D_f^t$ for every finite operator-convex generator $f$ and every $t\in[0,1]$. In particular, this gives DPI for the geodesic relative entropies and for the $(t,α)$-Rényi divergences when $0<α<1$ or $1<α\leq2$. Our second main result identifies equality in the DPI: for invertible states, every equality-determining operator-convex generator has, at each nonmaximal parameter $0\leq t<1$, exactly the Petz sufficiency class; at $t=1$, this changes to the generally larger maximal, or BS, class, which also coincides with the equality class of the divergences associated with the quadratic generator for every $t$. Our third main result is the corresponding collapse of invertible geodesic quantum Markov chains: for each of the three ordered conditional-mutual-information constructions, the $t$-quantum Markov chains are precisely the quantum Markov chains for $0\leq t<1$, whereas at $t=1$ they are the invertible BS quantum Markov chains, a class that can be strictly larger. We also determine parameter-monotonicity regimes and the intersections with the $(α,z)$ family. We prove strengthened data-processing and reconstruction estimates; we compare the three conditional orientations; we establish continuity bounds under positive lower-eigenvalue assumptions together with complementary discontinuity results; and we give a capacity-per-unit-cost interpretation.

Comments
116 pages, 8 figures

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We introduce the geodesic quantum fff-divergences DftD_f^tDft​, 0≤t≤10\leq t\leq10≤t≤1, obtained from the affine-invariant geodesic between the standard and maximal relative modular operators. They reduce to the classical fff-divergence for commuting states. The logarithmic generator yields geodesic relative entropies joining the Umegaki and Belavkin-Staszewski entropies, while the power generators yield (t,α)(t,α)(t,α)-Rényi divergences joining the Petz and geometric families.
Our first main result is data processing of DftD_f^tDft​ for every finite operator-convex generator fff and every t∈[0,1]t\in[0,1]t∈[0,1]. In particular, this gives DPI for the geodesic relative entropies and for the (t,α)(t,α)(t,α)-Rényi divergences when 0<α<10<α<10<α<1 or 1<α≤21<α\leq21<α≤2. Our second main result identifies equality in the DPI: for invertible states, every equality-determining operator-convex generator has, at each nonmaximal parameter 0≤t<10\leq t<10≤t<1, exactly the Petz sufficiency class; at t=1t=1t=1, this changes to the generally larger maximal, or BS, class, which also coincides with the equality class of the divergences associated with the quadratic generator for every ttt. Our third main result is the corresponding collapse of invertible geodesic quantum Markov chains: for each of the three ordered conditional-mutual-information constructions, the ttt-quantum Markov chains are precisely the quantum Markov chains for 0≤t<10\leq t<10≤t<1, whereas at t=1t=1t=1 they are the invertible BS quantum Markov chains, a class that can be strictly larger.
We also determine parameter-monotonicity regimes and the intersections with the (α,z)(α,z)(α,z) family. We prove strengthened data-processing and reconstruction estimates; we compare the three conditional orientations; we establish continuity bounds under positive lower-eigenvalue assumptions together with complementary discontinuity results; and we give a capacity-per-unit-cost interpretation.
Information Geometry of the Geodesic Quantum fff-Divergences
We study the differential, statistical, and geometrical consequences generated by the geodesic quantum fff-divergences introduced in [14], which are constructed by interpolating the relative modular operator and the commutant Radon-Nikodym derivative using a geodesic with parameter t∈[0,1]t\in [0,1]t∈[0,1]. For an invertible state ρρρ and an operator convex function fff, we compute the Hessian and obtain an explicit formula for the induced monotone quantum information metric gρ,t(f)g_{ρ,t}^{(f)}gρ,t(f)​. Furthermore, we also compare these metrics with the Petz-Hasegawa metric and find the meaning of the interpolation parameter ttt in this new geometry. We next show that the interpolation of relative modular operators ΓtΓ_tΓt​ in the reference purification of a state σσσ defines a canonical finite binary experiment (pt,qt)(p_t,q_t)(pt​,qt​), and introduce a log-likelihood cumulant function Ψρ,σ(t,s)Ψ_{ρ,σ}(t,s)Ψρ,σ​(t,s), recovering the Nussbaum-Szkoła distributions at t=0t=0t=0 and the Matsumoto construction at t=1t=1t=1. Finally, using Busemann functions, we endow this statistical framework with a geometric meaning in the cone of positive operators.
We use the Tomita–Takesaki modular theory and the Kubo–Ando operator mean to write down a large class of multi-state quantum f-divergences and prove that they satisfy the data processing inequality. For two states, this class includes the (α, z)-Rényi divergences, the f-divergences of Petz, and the Rényi Belavkin-Staszewski relative entropy as special cases. The method used is the interpolation theory of non-commutative Lωp spaces, and the result applies to general von Neumann algebras, including the local algebra of quantum field theory. We conjecture that these multi-state Rényi divergences have operational interpretations in terms of the optimal error probabilities in asymmetric multi-state quantum state discrimination.
Most quantum divergences derive their structure from classical f-divergences or Renyi-type constructions, a dependence that obscures several quantum geometric effects. We introduce a quantum relative-alpha-entropy that extends Umegaki's relative entropy while falling outside the f-divergence class. The proposed divergence exhibits a nonlinear convexity property, which yields a generalized convexity result for the Petz-Renyi divergence for alpha greater than one, complementing the known convexity for alpha less than one. It is additive under tensor products, invariant under unitary transformations, and depends only on the relative geometry of quantum states rather than their absolute magnitudes. Using Nussbaum-Szkola-type distributions, we also establish an exact correspondence of this divergence with classical relative-alpha-entropy. This reveals relative-alpha-entropy as a fundamentally geometric notion of quantum distinguishability not captured by existing divergence frameworks.
There are many proposals for defining a quantum version of the Rényi divergence on the differentiable manifold P of positive definite matrices. The geodesic connecting two points on P is a weighted matrix geometric mean, and its tangent vector is the relative operator entropy. It is a natural idea to use the relative operator entropy to describe the difference between two points on P. The quantum version of the classical results of Rényi divergence does not always hold due to its non-commutativity. Due to this difficulty, we use the upper bound and the lower one of the spectrum of positive definite matrices to estimate the order relation between quantum divergences, which is called the Mond Pečarić method in operator theory. In this paper, we show fundamental properties of the ♮α-Rényi divergence of real order α∈R, including monotonicity of order, the relation of max- and min-divergence, data processing inequality, bound estimates, and convexity. We also estimate the difference without the α–z-Rényi divergence and ♮α-Rényi divergence in terms of the generalized Kantorovich constant and the Specht ratio.
Strengthening the quantum data processing inequality for maximal fff-divergences via unraveling
Maximal fff-divergences, among them the Belavkin--Staszewski relative entropy, are non-increasing under completely positive trace-preserving maps, which is the quantum data processing inequality (DPI). We quantify this decrease for Lindblad evolutions with Hermitian jump operators by lifting the problem to a stochastic unraveling, in which the two states become measures on pure states evolving under a classical Fokker--Planck equation. The lift rests on the identity that the infimum of the classical fff-divergence over ensembles realizing two states is equal to their maximal fff-divergence. This infimum is attained on a common basis of pure states, which is admissible initial data for the unraveling. The result is a strengthened DPI, with the loss bounded below by the time integral of a relative fff-Fisher information. Given a two-sided bound on the unraveling's transition kernel, we derive two exponential decay estimates. For bracket-generating jump operators, the rate reaches twice the spectral gap of the symmetrized generator after an explicit delay. Without bracket generation, the kernel bound alone gives any rate below twice the spectral gap of the full generator.
The same classical f-divergence admits inequivalent extensions to quantum states. The question is whether these extensions can be obtained from a common classical variational principle with an operational interpretation. Here we generalize Matsumoto's reverse-test optimization by introducing retrodictive tests relative to a reference state. A retrodictive test compares a forward and a reverse stochastic process, realized by quantum preparation and measurement, related by Petz transposition relative to the chosen reference, and subject to prescribed quantum averages. Equivalently, it compares two reverse tests sharing a reference output, whose labels are coupled by retrodiction. For faithful states in finite dimension, we prove that the same spectral implementation attains the minimum classical f-divergence over all admissible implementations simultaneously for every operator-convex f. A flat reference yields the standard quantum f-divergences, thereby giving the Nussbaum-Szkoła distributions a variational characterization. Choosing either prescribed state as reference recovers maximal quantum f-divergences and Matsumoto's reverse-test optimization, while power references interpolate between the standard and maximal divergences along the geodesic family. In the relative-entropy case, this gives the passage from Umegaki to Belavkin-Staszewski relative entropy by changing the reference state. The same optimization extends to arbitrary quantum channels and, for channels with faithful Choi operator, gives a variational characterization of quantum entropy production.