2021
DOI: 10.48550/arxiv.2101.02720
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Entropic bounds on information backflow

Nina Megier,
Andrea Smirne,
Bassano Vacchini
Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
3
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
3
1

Relationship

3
1

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 59 publications
1
3
0
Order By: Relevance
“…Within the trace distance approach, it is possible to ascribe any backflow of information towards the open system to either the gen-eration of system-environment correlations, or changes in the environmental state due to the interaction with the open system, or both [7,20]. Even more, quantitative links between the trace distance variations and the influence of both system-environmental correlations and environmental changes, as measured via the trace distance, have been derived [21][22][23], and a similar result has recently been obtained also for entropic distinguishability quantifiers [24]. In addition to their quantitative content, these links suggest further evidence that the possible quantum nature of the system-environment correlations, in terms of the presence of entanglement [25] or non-zero discord [26][27][28], does not play any special role in producing memory effects, compared to mere classical correlations [29,30].…”
Section: Introductionsupporting
confidence: 52%
“…Within the trace distance approach, it is possible to ascribe any backflow of information towards the open system to either the gen-eration of system-environment correlations, or changes in the environmental state due to the interaction with the open system, or both [7,20]. Even more, quantitative links between the trace distance variations and the influence of both system-environmental correlations and environmental changes, as measured via the trace distance, have been derived [21][22][23], and a similar result has recently been obtained also for entropic distinguishability quantifiers [24]. In addition to their quantitative content, these links suggest further evidence that the possible quantum nature of the system-environment correlations, in terms of the presence of entanglement [25] or non-zero discord [26][27][28], does not play any special role in producing memory effects, compared to mere classical correlations [29,30].…”
Section: Introductionsupporting
confidence: 52%
“…There exist many other entropic measures, e.g. recently the quantum relative entropy was considered in terms of characterizing the flow of information between the subsystems of the JC model [223], it is defined for two states ρ and ˆ as S(ρ, ˆ ) = Tr [ρ log ρ − ρ log ˆ ], and the Wigner-Yanase skew information has also been considered for the JC model [224], which is defined for a state ρ and an observable Ô as 65), was early on studied for the JC evolution [225].…”
Section: Entanglementmentioning
confidence: 99%
“…That is, when the experimenter only has access to one-point probabilities she cannot distinguish between classical Markovian and divisible processes [33]. Note that alternative definitions of quantum Markovianity exist [34], among the best known are the approaches based on P-divisibility [35,36], the monotonicity of the distinguishability quantifiers between two distinct reduced states [36][37][38] and the change of the volume of accessible reduced states [39]. All of these characterisations are based solely on the properties of the dynamics of the open quantum system.…”
Section: Quantum Markovianity and Beyondmentioning
confidence: 99%