Characterizing (non-)Markovianity through Fisher Information

Fuente: arXiv
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Main Authors: Abiuso, Paolo, Scandi, Matteo, De Santis, Dario, Surace, Jacopo
Format: Preprint
Published: 2022
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author Abiuso, Paolo
Scandi, Matteo
De Santis, Dario
Surace, Jacopo
author_facet Abiuso, Paolo
Scandi, Matteo
De Santis, Dario
Surace, Jacopo
contents A non-isolated physical system typically loses information to its environment, and when such loss is irreversible the evolution is said to be Markovian. Non-Markovian effects are studied by monitoring how information quantifiers, such as the distance between physical states, evolve in time. Here we show that the Fisher information metric emerges as a natural object to study in this context; we fully characterize the relation between its contractivity properties and Markovianity, both from the mathematical and operational point of view. We prove, both for classical and quantum dynamics, that Markovianity is equivalent to the monotonous contraction of the Fisher metric at all points of the set of states. At the same time, operational witnesses of non-Markovianity based on the dilation of the Fisher distance cannot, in general, detect all non-Markovian evolutions, unless specific physical postprocessing is applied to the dynamics. Finally, we show for the first time that non-Markovian dilations of Fisher distance between states at any time correspond to backflow of information about the initial state of the dynamics at time 0, via Bayesian retrodiction.
format Preprint
id arxiv_https___arxiv_org_abs_2204_04072
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Characterizing (non-)Markovianity through Fisher Information
Abiuso, Paolo
Scandi, Matteo
De Santis, Dario
Surace, Jacopo
Quantum Physics
Mathematical Physics
A non-isolated physical system typically loses information to its environment, and when such loss is irreversible the evolution is said to be Markovian. Non-Markovian effects are studied by monitoring how information quantifiers, such as the distance between physical states, evolve in time. Here we show that the Fisher information metric emerges as a natural object to study in this context; we fully characterize the relation between its contractivity properties and Markovianity, both from the mathematical and operational point of view. We prove, both for classical and quantum dynamics, that Markovianity is equivalent to the monotonous contraction of the Fisher metric at all points of the set of states. At the same time, operational witnesses of non-Markovianity based on the dilation of the Fisher distance cannot, in general, detect all non-Markovian evolutions, unless specific physical postprocessing is applied to the dynamics. Finally, we show for the first time that non-Markovian dilations of Fisher distance between states at any time correspond to backflow of information about the initial state of the dynamics at time 0, via Bayesian retrodiction.
title Characterizing (non-)Markovianity through Fisher Information
topic Quantum Physics
Mathematical Physics
url https://arxiv.org/abs/2204.04072