activity
20122024
most citedObservation of the topological Anderson insulator in disordered atomic wires

366 citations · 3k across the 53 of their papers we have counts for

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23 papers · 1 filter

cond-mat.quant-gas2023

Higher-order topological Peierls insulator in a two-dimensional atom-cavity system

Joana Fraxanet, Alexandre Dauphin, Maciej Lewenstein +2

In this work, we investigate a two-dimensional system of ultracold bosonic atoms inside an optical cavity, and show how photon-mediated interactions give rise to a plaquette-ordere…

cond-mat.quant-gas2023

Topological stripe state in an extended Fermi-Hubbard model

Sergi Julià-Farré, Lorenzo Cardarelli, Maciej Lewenstein +2

Interaction-induced topological systems have attracted a growing interest for their exotic properties going beyond the single-particle picture of topological insulators. In particu…

cond-mat.quant-gas2022★ 1 cited

Accessing the topological Mott insulator in cold atom quantum simulators with realistic Rydberg dressing

Lorenzo Cardarelli, Sergi Julià-Farré, Maciej Lewenstein +2

The interplay between many-body interactions and the kinetic energy gives rise to rich phase diagrams hosting, among others, interaction-induced topological phases. These phases ar…

cond-mat.quant-gas2021★ 2 cited

Revealing the topological nature of the bond order wave in a strongly correlated quantum system

Sergi Julià-Farré, Daniel González-Cuadra, Alexander Patscheider +5

We investigate the topological properties of the bond order wave phase arising in the extended Fermi-Hubbard model. In particular, we uncover a topological sector, which remained e…

cond-mat.quant-gas2021★ 3 cited

Cold atoms meet lattice gauge theory

Monika Aidelsburger, Luca Barbiero, Alejandro Bermudez +19

The central idea of this review is to consider quantum field theory models relevant for particle physics and replace the fermionic matter in these models by a bosonic one. This is…

cond-mat.quant-gas2021★ 81 cited

Unsupervised machine learning of topological phase transitions from experimental data

Niklas Käming, Anna Dawid, Korbinian Kottmann +4

Identifying phase transitions is one of the key challenges in quantum many-body physics. Recently, machine learning methods have been shown to be an alternative way of localising p…