In 1996, Hatano and Nelson proposed a non-Hermitian lattice model containing an imaginary Peierls phase [Phys. Rev. Lett. 77, 570 (1996)], which subsequent analyses revealed to be an instance of a new class of topological systems. Here, we experimentally realize …

Imaginary Gauge Potentials in a Non-Hermitian Spin-Orbit Coupled Quantum Gas Read more »

We establish a dataset of over 1.6 x 10^4 experimental images of Bose–Einstein condensates containing solitonic excitations to enable machine learning (ML) for many-body physics research. About 33% of this dataset has manually assigned and carefully curated labels. The remainder …

Dark solitons in Bose–Einstein condensates: a dataset for many-body physics research Read more »

Here we revisit the topic of stationary and propagating solitonic excitations in self-repulsive three-dimensional (3D) Bose–Einstein condensates by quantitatively comparing theoretical analysis and associated numerical computations with our experimental results. Motivated by numerous experimental efforts, including our own herein, we …

Dynamical instability of 3d stationary and traveling planar dark solitons Read more »

Nontrivial topology in lattices is characterized by invariants—such as the Zak phase for one-dimensional (1D) lattices—derived from wave functions covering the Brillouin zone. We realize the 1D bipartite Rice-Mele (RM) lattice using ultracold 87Rb and focus on lattice configurations possessing …

Dynamically Induced Symmetry Breaking and Out-of-Equilibrium Topology in a 1D Quantum System Read more »

High-resolution imaging of ultracold atoms typically requires custom high numerical aperture (NA) optics, as is the case for quantum gas microscopy. These high NA objectives involve many optical elements, each of which contributes to loss and light scattering, making them …

Self-Bayesian aberration removal via constraints for ultracold atom microscopy Read more »

Most data in cold-atom experiments comes from images, the analysis of which is limited by our preconceptions of the patterns that could be present in the data. We focus on the well-defined case of detecting dark solitons—appearing as local density …

Machine-learning enhanced dark soliton detection in Bose–Einstein condensates Read more »