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quant-ph2026

Maximal Rényi Relative Entropy for

Roberto Rubboli

Quantum relative entropies play a fundamental role in quantum information theory. In the classical setting, Rényi relative entropies constitute, up to linear combinations, the mos…

quant-ph2026

Quantum conditional entropies from convex trace functionals

Roberto Rubboli, Milad M. Goodarzi, Marco Tomamichel

We study geometric properties of trace functionals that generalize those in [Zhang, Adv. Math. 365:107053 (2020)], arising from a novel family of conditional entropies with applica…

quant-ph2026

Additivity of quantum relative entropies as a single-copy criterion

Salman Beigi, Roberto Rubboli, Marco Tomamichel

The fundamental goal of information theory is to characterize complex operational tasks using efficiently computable information quantities, Shannon's capacity formula being the pr…

quant-ph2026

The strong converse exponent of composable randomness extraction against quantum side information

Roberto Rubboli, Marco Tomamichel

We find a tight characterization of the strong converse exponent for randomness extraction against quantum side information. In contrast to previous tight bounds, we employ a compo…

quant-ph2025

A fixed-point algorithm for matrix projections with applications in quantum information

Shrigyan Brahmachari, Roberto Rubboli, Marco Tomamichel

We develop a fixed-point iterative algorithm that computes the matrix projection with respect to the Bures distance on the set of positive definite matrices that are invariant unde…

quant-ph2024

Mixed-state additivity properties of magic monotones based on quantum relative entropies for single-qubit states and beyond

Roberto Rubboli, Ryuji Takagi, Marco Tomamichel

We prove that the stabilizer fidelity is multiplicative for the tensor product of an arbitrary number of single-qubit states. We also show that the relative entropy of magic become…