Welcome to GPUE, the fastest zero temperature BEC routines in the land (the last time we checked). All documentation is available at https://gpue-group.github.io.
This software is a CUDA-enabled non-linear Schrodinger (Gross-Pitaevskii) equation solver. The primary use of this code was for research on Bose-Einstein condensates. Due to the complexity and timescales needed to simulate such system, it was essential to write some accelerated code to understand the behaviour of such systems.
As a short introduction of the use-case: We want to simulate how a Bose-Einstein condensate (BEC) behaves in a trap. The trap is parabolic (harmonic), and for the lowest energy state of the system (ground-state) the BEC will want to sit about the centre. Due to the interaction between the particles it will occupy more space than a standard Schrodinger equation, which has zero interactions. As a result of these interactions many interesting things happen.
The main purpose of the code is to investigate the behaviour of quantum vortices (think really small tornadoes). Instead of having a continuous range of angular momentum values, the condensate can only accept angular momentum in quantised predefined units.
The most interesting fact is that instead of getting bigger and bigger with faster rotation (as a tornado would), these vortices only allow themselves to enter with a singular unit of angular momentum (think 100x 1 unit vortices instead of 1x 100 unit vortex). This gives us a nice well arranged lattice if performed correctly. It is this lattice that we have been researching (read as: playing with). However, this code can be used in any trapping geometry, rotation, etc. that you wish to use.
See the Building GPUE and GPUE functionality sections of the documentation.
As an example, here are some simulations performed with the code:
We would like this tool to be a suite for 1D, 2D and 3D simulations of both Schrodinger and non-linear Schrodinger (Gross--Pitaevskii) systems.
If you have used GPUE, or any of the works using GPUE, please consider giving us a citation as:
Previous versions of this code/works are citable as follows:
More recent versions will be citable under the GPUE Group repository. Works which have used GPUE include (to-date):
We are greatly thankful to the support provided by Okinawa Institute of Science and Technology Graduate University, without whom this research code would be a fraction of what it currently has become. A list of acknowledgements is given in acknowledgements.md.