activity
20162026
most citedIdentifying Quantum Phase Transitions using Artificial Neural Networks on Experimental Data

235 citations · 520 across the 11 of their papers we have counts for

collaborators
Showing cond-mat.quant-gasShow all

8 papers · 1 filter

cond-mat.quant-gas2026

Adiabatic realization of anomalous Floquet topological systems

Luca Asteria, Marcel N. Kosch, Henrik P. Zahn +4

Topology has emerged as a central concept for classifying phases of matter. The situation is especially rich in periodically driven systems, where anomalous Floquet topological pha…

cond-mat.quant-gas2026

Protocols for a many-body phase microscope: From coherences and d-wave superconductivity to Green's functions

Christof Weitenberg, Luca Asteria, Ola Carlsson +2

Quantum gas microscopes probe quantum many-body lattice states via projective measurements in the occupation basis, enabling access to various density and spin correlations. Phase…

cond-mat.quant-gas2025

Anomalous fluctuations of Bose-Einstein condensates in optical lattices

Zahra Jalali-Mola, Niklas Käming, Luca Asteria +6

Fluctuations are fundamental in physics and important for understanding and characterizing phase transitions. In this spirit, the phase transition to the Bose-Einstein condensate (…

cond-mat.quant-gas2022★ 15 cited

Multi-frequency optical lattice for dynamic lattice-geometry control

Marcel N. Kosch, Luca Asteria, Henrik P. Zahn +2

Ultracold atoms in optical lattices are pristine model systems with a tunability and flexibility that goes beyond solid-state analogies, e.g., dynamical lattice-geometry changes al…

cond-mat.quant-gas2021★ 27 cited

Formation of spontaneous density-wave patterns in DC driven lattices

H. P. Zahn, V. P. Singh, M. N. Kosch +5

Driving a many-body system out of equilibrium induces phenomena such as the emergence and decay of transient states, which can manifest itself as pattern and domain formation. The…

cond-mat.quant-gas2021★ 45 cited

Quantum gas magnifier for sub-lattice-resolved imaging of three-dimensional quantum systems

Luca Asteria, Henrik P. Zahn, Marcel N. Kosch +2

Imaging is central for gaining microscopic insight into physical systems, but direct imaging of ultracold atoms in optical lattices as modern quantum simulation platform suffers fr…

cond-mat.quant-gas2018★ 235 cited

Identifying Quantum Phase Transitions using Artificial Neural Networks on Experimental Data

Benno S. Rem, Niklas Käming, Matthias Tarnowski +5

Machine learning techniques such as artificial neural networks are currently revolutionizing many technological areas and have also proven successful in quantum physics application…

cond-mat.quant-gas2018★ 160 cited

Measuring quantized circular dichroism in ultracold topological matter

Luca Asteria, Duc Thanh Tran, Tomoki Ozawa +6

The topology of two-dimensional materials traditionally manifests itself through the quantization of the Hall conductance, which is revealed in transport measurements. Recently, it…