activity
20182026
most citedApplying machine learning optimization methods to the production of a quantum gas

37 citations · 169 across the 16 of their papers we have counts for

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Showing cond-mat.quant-gasShow all

13 papers · 1 filter

cond-mat.quant-gas2026

Universal non-Gaussian order parameter statistics in 2D superfluids

Abel Beregi, En Chang, Erik Rydow +2

Fluctuations are an intrinsic feature of many-body systems, and their full statistical distributions reveal a wealth of information about the underlying physics. Of particular inte…

cond-mat.quant-gas2025

Coupling-induced universal dynamics in bilayer two-dimensional Bose gases

En Chang, Vijay Pal Singh, Abel Beregi +4

The emergence of order in many-body systems and the associated self-similar dynamics governed by dynamical scaling laws is a hallmark of universality far from equilibrium. Measurin…

cond-mat.quant-gas2024★ 4 cited

Observation of a Bilayer Superfluid with Interlayer Coherence

Erik Rydow, Vijay P. Singh, Abel Beregi +4

Controlling the coupling between different degrees of freedom in many-body systems is a powerful technique for engineering novel phases of matter. We create a bilayer system of two…

cond-mat.quant-gas2024★ 1 cited

CNN-Based Vortex Detection in Atomic 2D Bose Gases in the Presence of a Phononic Background

Magnus Sesodia, Shinichi Sunami, En Chang +3

Quantum vortices play a crucial role in both equilibrium and dynamical phenomena in two-dimensional (2D) superfluid systems. Experimental detection of these excitations in 2D ultra…

cond-mat.quant-gas2024★ 6 cited

Quantum Simulations with Bilayer 2D Bose Gases in Multiple-RF-dressed Potentials

Abel Beregi, Christopher J. Foot, Shinichi Sunami

Multiple-RF (MRF) dressing allows trapping of ultracold atoms in novel spatial geometries, such as highly controllable bilayer structures for 2D ultracold gases, providing unique o…

cond-mat.quant-gas2024★ 3 cited

Detecting Phase Coherence of 2D Bose Gases via Noise Correlations

Shinichi Sunami, Vijay P. Singh, Erik Rydow +4

We measure the noise correlations of two-dimensional (2D) Bose gases after free expansion, and use them to characterize the in-situ phase coherence across the Berezinskii-Kosterlit…

cond-mat.quant-gas2022★ 28 cited

Universal Scaling of the Dynamic BKT Transition in Quenched 2D Bose Gases

Shinichi Sunami, Vijay P. Singh, David Garrick +6

While renormalization group theory is a fully established method to capture equilibrium phase transitions, the applicability of RG theory to universal non-equilibrium behavior rema…

cond-mat.quant-gas2021★ 33 cited

Observation of the BKT Transition in a 2D Bose Gas via Matter-Wave Interferometry

Shinichi Sunami, Vijay P. Singh, David Garrick +6

We probe local phase fluctuations of trapped two-dimensional (2D) Bose gases using matter-wave interferometry. This enables us to measure the phase correlation function, which chan…

cond-mat.quant-gas2020★ 15 cited

Coherent splitting of two-dimensional Bose gases in magnetic potentials

Adam J. Barker, Shinichi Sunami, David Garrick +4

Investigating out-of-equilibrium dynamics with two-dimensional (2D) systems is of widespread theoretical interest, as these systems are strongly influenced by fluctuations and ther…

cond-mat.quant-gas2020★ 12 cited

Realising a species-selective double well with multiple-radiofrequency-dressed potentials

A. J. Barker, S. Sunami, D. Garrick +4

Techniques to manipulate the individual constituents of an ultracold mixture are key to investigating impurity physics. In this work, we confine a mixture of the hyperfine ground s…

cond-mat.quant-gas2019★ 6 cited

Inelastic collisions in radiofrequency-dressed mixtures of ultracold atoms

Elliot Bentine, Adam J. Barker, Kathrin Luksch +6

Radiofrequency (RF)-dressed potentials are a promising technique for manipulating atomic mixtures, but so far little work has been undertaken to understand the collisions of atoms…

cond-mat.quant-gas2019★ 37 cited

Applying machine learning optimization methods to the production of a quantum gas

Adam J. Barker, Harry Style, Kathrin Luksch +5

We apply three machine learning strategies to optimize the atomic cooling processes utilized in the production of a Bose-Einstein condensate (BEC). For the first time, we optimize…

cond-mat.quant-gas2018★ 10 cited

Probing multiple-frequency atom-photon interactions with ultracold atoms

Kathrin Luksch, Elliot Bentine, Adam J. Barker +4

We dress atoms with multiple-radiofrequency fields and investigate the spectrum of transitions driven by an additional probe field. A complete theoretical description of this rich…