activity
20112025
most citedExperimental Observation of a Generalized Gibbs Ensemble

653 citations · 1.6k across the 22 of their papers we have counts for

collaborators

23 papers

quant-ph2025★ 1 cited

Learning Minimal Representations of Many-Body Physics from Snapshots of a Quantum Simulator

Frederik Møller, Gabriel Fernández-Fernández, Thomas Schweigler +3

Analog quantum simulators provide access to many-body dynamics beyond the reach of classical computation. However, extracting physical insights from experimental data is often hind…

cond-mat.quant-gas2022★ 52 cited

Experimental verification of the area law of mutual information in a quantum field simulator

Mohammadamin Tajik, Ivan Kukuljan, Spyros Sotiriadis +10

Theoretical understanding of the scaling of entropies and the mutual information has led to significant advances in the research of correlated states of matter, quantum field theor…

cond-mat.quant-gas2022★ 23 cited

Floquet engineering a bosonic Josephson junction

Si-Cong Ji, Thomas Schweigler, Mohammadamin Tajik +5

We study Floquet engineering of the tunnel coupling between a pair of one-dimensional bosonic quasi-condensates in a tilted double-well potential. By modulating the energy differen…

cond-mat.quant-gas2021★ 43 cited

Emergent Pauli blocking in a weakly interacting Bose gas

Federica Cataldini, Frederik Møller, Mohammadamin Tajik +6

The relationship between many-body interactions and dimensionality is integral to numerous emergent quantum phenomena. A striking example is the Bose gas, which upon confinement to…

quant-ph2021★ 9 cited

Mechanisms for the emergence of Gaussian correlations

Marek Gluza, Thomas Schweigler, Mohammadamin Tajik +8

We comprehensively investigate two distinct mechanisms leading to memory loss of non-Gaussian correlations after switching off the interactions in an isolated quantum system underg…

cond-mat.quant-gas2021★ 11 cited

Thermometry of one-dimensional Bose gases with neural networks

Frederik Møller, Thomas Schweigler, Mohammadamin Tajik +4

We design a neural network to extract and process features from absorption images taken of one-dimensional Bose gases in the quasi-condensate regime. Specifically, the network is t…