Monogamy of temporal correlations: Witnessing non-Markovianity beyond data processing

The modeling of natural phenomena via a Markov process—a process for which the future is independent of the past, given the present—is ubiquitous in many fields of science. Within this context, it is of foremost importance to develop ways to check from the available empirical data if the underlying...

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Detalles Bibliográficos
Autores: Capela, Matheus; Céleri, Lucas C.; Modi, Kavan; Araújo, Rafael Chaves Souto
Tipo de documento: Artículo
Estado:Published version
Fecha de publicación:2020
País:Brasil
Institución:UFRN
Repositorio:Repositório Institucional da UFRN
Lenguaje:Inglés
OAI Identifier:oai:repositorio.ufrn.br:123456789/30094
Acceso en línea:https://repositorio.ufrn.br/jspui/handle/123456789/30094
Nivel de acceso:Acceso abierto
Palabra clave:Quantum Channels
Quantum correlations in quantum information
Quantum measurements
Non-Markovian processes
Descripción
Sumario:The modeling of natural phenomena via a Markov process—a process for which the future is independent of the past, given the present—is ubiquitous in many fields of science. Within this context, it is of foremost importance to develop ways to check from the available empirical data if the underlying mechanism is indeed Markovian. A paradigmatic example is given by data processing inequalities, the violation of which is an unambiguous proof of the non-Markovianity of the process. Here, our aim is twofold. First we show the existence of a monogamy-like type of constraint, beyond data processing, respected by Markov chains. Secondly, we show a connection between the quantification of causality and the violation of both data processing and monogamy inequalities. Apart from its foundational relevance in the study of stochastic processes we also consider the applicability of our results in a typical quantum information setup, showing it can be useful to witness the non-Markovianity arising in a sequence of quantum nonprojective measurements