Litcius/Paper detail

Convex resource theory of non-Markovianity

Samyadeb Bhattacharya, Bihalan Bhattacharya, A. S. Majumdar

2020Journal of Physics A Mathematical and Theoretical31 citationsDOI

Abstract

Abstract We establish a convex resource theory of non-Markovianity inducing information backflow under the constraint of small time intervals within the temporal evolution. We identify the free operations and a generalized bona-fide measure of non-Markovian information backflow. The framework satisfies the basic properties of a consistent resource theory. The proposed resource quantifier is lower bounded by the optimization free Rivas–Huelga–Plenio (RHP) measure of non-Markovianity. We next define the robustness of non-Markovianity and show that it can directly linked with the RHP measure of non-Markovianity through a lower bound. This enables a physical interpretation of the RHP measure. We further relate robustness of non-Markovianity with the quantum capacity of dephasing channels.

Topics & Concepts

Robustness (evolution)Regular polygonMeasure (data warehouse)Upper and lower boundsBounded functionComputer scienceSubadditivityMathematical optimizationMathematicsInformation theoryBackflowStatistical physicsDiscrete mathematicsPhysicsStatisticsData miningMathematical analysisMechanical engineeringGeometryInletEngineeringBiochemistryChemistryGeneQuantum Information and CryptographyNeural dynamics and brain functionQuantum Computing Algorithms and Architecture
Convex resource theory of non-Markovianity | Litcius