Efficient simulation of Bose-Einstein condensates in nontrivial topologies
Abel Beregi, Jean-Baptiste Gerent, Nathan Lundblad

TL;DR
This paper introduces an efficient finite-difference simulation framework for modeling bubble-shaped Bose-Einstein condensates with complex topologies, significantly improving computational performance and enabling large-scale, realistic simulations.
Contribution
The authors develop a novel semi-structured grid-based simulation method that reduces memory usage and enhances performance for 3D bubble BECs, extendable to GPU parallelization.
Findings
Achieved over tenfold speedup compared to traditional methods.
Successfully simulated formation and evolution of bubble BECs in microgravity conditions.
Identified key parameters for adiabatic creation of bubble condensates.
Abstract
Bubble-shaped Bose-Einstein condensates (BECs) constitute a unique class of quantum fluids with a hollow, thin-shell geometry that supports a wide variety of phenomena that are distinct from those of compact condensates. Numerical simulation of such systems is particularly challenging due to their inherently three-dimensional structure and extreme aspect ratios. We present an efficient finite-difference simulation framework designed for solving partial differential equations in such nontrivial topologies with a focus on the static and dynamical modeling of bubble-shaped BECs. By employing selective spatial sampling on a semi-structured grid, our method substantially reduces memory usage and achieves more than an order-of-magnitude improvement in computational performance compared to conventional split-step Fourier solvers. The algorithm is naturally extendable for highly parallel…
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Taxonomy
TopicsCold Atom Physics and Bose-Einstein Condensates · Quantum many-body systems · Quantum, superfluid, helium dynamics
