activity
20002025
most citedJensen-Shannon divergence as a measure of distinguishability between mixed quantum states

222 citations · 655 across the 30 of their papers we have counts for

collaborators

30 papers

quant-ph2025

A unified fidelity-based framework for quantum speed limits in open quantum systems

Tristán M. Osán, Yanet Álvarez, Mariela Portesi +1

In this work, we investigate the role of functionals of generalized fidelity measures in deriving quantum speed limits (QSLs) within a geometric approach. We establish a general th…

quant-ph2024

Quantum imaginary time evolution and UD-MIS problem

Victor A. Penas, Marcelo Losada, Pedro W. Lamberti

In this work we apply a procedure based on the quantum imaginary time evolution method to solve the unit-disk maximum independent set problem. Numerical simulations were performed…

quant-ph2023★ 2 cited

Rényi-Holevo inequality from --Rényi relative entropies

Diego G. Bussandri, Grzegorz Rajchel-Mieldzioć, Pedro W. Lamberti +1

We investigate bounds in the transmission of classical information through quantum systems. Our focus lies in the generalized Holevo theorem, which provides a single-letter Holevo-…

quant-ph2023★ 5 cited

Transmission distance in the space of quantum channels

Diego G. Bussandri, Pedro W. Lamberti, Karol Życzkowski

We analyze two ways to obtain distinguishability measures between quantum maps by employing the square root of the quantum Jensen-Shannon divergence, which forms a true distance in…

quant-ph2023

Segmentation of quantum generated sequences by using the Jensen-Shannon divergence

Marcelo Losada, Víctor A. Penas, Federico Holik +1

The Jensen-Shannon divergence has been successfully applied as a segmentation tool for symbolic sequences, that is to separate the sequence into subsequences with the same symbolic…

cs.IT2022

Rao-Burbea centroids applied to the statistical characterisation of time series and images through ordinal patterns

Diego M. Mateos, Leonardo E. Riveaud, Pedro W. Lamberti

Divergences or similarity measures between probability distributions have become a very useful tool for studying different aspects of statistical objects such as time series, netwo…