Efficient and operational quantifier of nondivisibility in terms of channel discrimination

The understanding of open quantum systems is crucial for the development of quantum technologies. Of particular relevance is the characterization of divisible quantum dynamics, seen as a generalization of Markovian processes to the quantum setting. Here, we propose a way to detect divisibility and quantify how nondivisible a quantum channel is through the concept of channel discrimination. We ask how well we can distinguish generic dynamics from divisible dynamics. We show that this question can be answered efficiently through semidefinite programming, which provides us with an operational and efficient way to quantify nondivisibility.

Authors

Institutions

Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-02-04
DOI
https://doi.org/10.1103/physreva.111.022206
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient and operational quantifier of nondivisibility in terms of channel discrimination

Daniel Cavalcanti, Ranieri Nery, Nadja K. Bernardes, Rafael Chaves et al.
Physical review. A/Physical review, A
Quantum Mechanics and Applications
article

Efficient and operational quantifier of nondivisibility in terms of channel discrimination

Daniel Cavalcanti, Ranieri Nery, Nadja K. Bernardes, Rafael Chaves, Cristhiano Duarte
article en

Abstract

The understanding of open quantum systems is crucial for the development of quantum technologies. Of particular relevance is the characterization of divisible quantum dynamics, seen as a generalization of Markovian processes to the quantum setting. Here, we propose a way to detect divisibility and quantify how nondivisible a quantum channel is through the concept of channel discrimination. We ask how well we can distinguish generic dynamics from divisible dynamics. We show that this question can be answered efficiently through semidefinite programming, which provides us with an operational and efficient way to quantify nondivisibility.

Physical review. A/Physical review, AVol. 111(2)
Universidade Federal da Bahia (BR), Institute of Photonic Sciences (ES), Chapman University (US), Universidade Federal de Pernambuco (BR), Universidade Federal do Rio Grande do Norte (BR), Hospital Ana Nery (BR)
Simons Foundation, John Templeton Foundation, John E. Fetzer Memorial Trust, Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Instituto Nacional de Ciência e Tecnologia de Informação Quântica, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Instituto Serrapilheira
Reduced inequalities
Openalex Percentile: Top 98%
Quantum Mechanics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Efficient and operational quantifier of nondivisibility in terms of channel discrimination — Daniel Cavalcanti, Ranieri Nery, et al. · Physical review. A/Physical review, A (2025) | TGRS Research Map | TGRS