Long-time memory effects in a localizable central spin problem
Nathan Ng, Eran Rabani

TL;DR
This paper investigates the long-time memory effects in a central spin model coupled to a many-body localized bath, revealing power-law decay of the memory kernel and potential exponential growth linked to delocalization phenomena.
Contribution
It introduces a method to extract long-time populations from finite-time data using the Nakajima-Zwanzig memory kernel in localized and ergodic regimes.
Findings
Memory kernel decays as a power law in both regimes
Finite-time data can predict long-time populations
Unbounded exponential growth in the memory kernel observed
Abstract
We study the properties of the Nakajima-Zwanzig memory kernel for a qubit immersed in a many-body localized (i.e., disordered and interacting) bath. We argue that the memory kernel decays as a power law in both the localized and ergodic regimes, and show how this can be leveraged to extract populations for the qubit from finite time () data in the thermalizing phase. This allows us to quantify how the long-time values of the populations approach the expected thermalized state as the bath approaches the thermodynamic limit. This approach should provide a good complement to state-of-the-art numerical methods, for which the long-time dynamics with large baths are impossible to simulate in this phase. Additionally, our numerics on finite baths reveal the possibility for unbounded exponential growth in the memory kernel, a phenomenon rooted in the appearance of…
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