Quantifying non-Markovianity via correlations

By Shunlong Luo, Shuangshuang Fu, Hongting Song. 2012

281 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/8d5c283686b94c5dc2451aae575990b71bc1c88c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Daniel Alonso
2. I. D. Vega
3. Li Li
4. Michael J. W. Hall
5. Howard M. Wiseman
6. Bassano Vacchini
7. H. Breuer
8. Elsi-Mari Laine

In Atomic and Molecular Physics, and Optics

1. Daniel Alonso
2. I. D. Vega
3. Michael J. W. Hall
4. Li Li
5. Howard M. Wiseman
6. Bassano Vacchini
7. Jyrki Piilo
8. Elsi-Mari Laine

Citations in the corpus

• Colloquium: Non-Markovian dynamics in open quantum systems (2015, background): “In this respect both entanglement (Rivas et al., 2014) and quantum mutual information have been considered (Luo et al., 2012).”
• Dynamics of non-Markovian open quantum systems (2015, background): “…et al., 2013) and Bures distance (Liu et al., 2013b), a quantification of the deviation from divisibility in terms of the negative values of transition maps (Rajagopal et al., 2010), or the non-monotonicity of the decay of the mutual correlations between the OQS and an ancilla (Luo et al., 2012).”
• Concepts of quantum non-Markovianity: A hierarchy (2017, background): “Entanglement measures [90], entropic measures [25, 91] and quantum Fisher information [92] are also considered to quantify information flow.”