A route towards engineering many-body localization in real materials
A. Nietner, A. Kshetrimayum, J. Eisert, B. Lake

TL;DR
This paper proposes a method to engineer many-body localization in real materials by mixing different substances and analyzing their properties through tensor-network simulations, aiming to guide experimental synthesis of MBL-capable materials.
Contribution
It introduces a practical approach to realize many-body localization in actual materials, combining numerical analysis and material selection guidance.
Findings
Tensor-network simulations show doping ratios influence MBL signatures.
Electron-phonon coupling affects the stability of MBL in one-dimensional systems.
Guidelines for material properties necessary to observe MBL experimentally.
Abstract
The interplay of interactions and disorder in a quantum many body system may lead to the elusive phenomenon of many body localization (MBL). It has been observed under precisely controlled conditions in synthetic quantum many-body systems, but to detect it in actual quantum materials seems challenging. In this work, we present a path to synthesize real materials that show signatures of many body localization by mixing different species of materials in the laboratory. To provide evidence for the functioning of our approach, we perform a detailed tensor-network based numerical analysis to study the effects of various doping ratios of the constituting materials. Moreover, in order to provide guidance to experiments, we investigate different choices of actual candidate materials. To address the challenge of how to achieve stability under heating, we study the effect of the electron-phonon…
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Taxonomy
TopicsQuantum, superfluid, helium dynamics · Quantum many-body systems · Machine Learning in Materials Science
