Weyl dynamical maps are fully classified via phase-space subgroups; convex mixing of eternally non-Markovian dephasing maps yields Markovian semigroups, and irreducible eternally non-Markovian examples exist for qutrits.
\ Breuer , author E.-M
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Experimental demonstration of non-Markovian death, revival, and asymmetric structures in tripartite quantum steering.
For the Fano-Anderson model with Lorentzian spectral density, the TCL expansion converges within a radius set by the detuning-to-width ratio, and its second and fourth orders represent non-Markovianity differently as measured by Bures distance evolution.
Machine learning trains an ensemble optimal control scheme to pick optimal measurement times for non-Markovian quantum noise parameters, reaching near Cramér-Rao bound precision.
Fractional time Schrödinger equations applied to the time-dependent Jaynes-Cummings model introduce non-Markovian memory that damps oscillations, controls entanglement, and preserves non-periodic dynamics under sinusoidal coupling.
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Convexity and non-Markovianity of Weyl Maps
Weyl dynamical maps are fully classified via phase-space subgroups; convex mixing of eternally non-Markovian dephasing maps yields Markovian semigroups, and irreducible eternally non-Markovian examples exist for qutrits.
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Observation of Non-Markovian Evolution of Tripartite Quantum Steering
Experimental demonstration of non-Markovian death, revival, and asymmetric structures in tripartite quantum steering.
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Expansion of time-convolutionless non-Markovian quantum master equations: A case study using the Fano-Anderson model
For the Fano-Anderson model with Lorentzian spectral density, the TCL expansion converges within a radius set by the detuning-to-width ratio, and its second and fourth orders represent non-Markovianity differently as measured by Bures distance evolution.
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Learning Non-Markovian Noise via Ensemble Optimal Control
Machine learning trains an ensemble optimal control scheme to pick optimal measurement times for non-Markovian quantum noise parameters, reaching near Cramér-Rao bound precision.
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Non-Markovian Light-Matter Dynamics in the Time Fractional Jaynes-Cummings Model with Modulated Coupling
Fractional time Schrödinger equations applied to the time-dependent Jaynes-Cummings model introduce non-Markovian memory that damps oscillations, controls entanglement, and preserves non-periodic dynamics under sinusoidal coupling.