MPSDynamics with GPU Acceleration

Tensor network code used for "Environmentally driven symmetry-breaking quenches dual fluorescence in proflavine" by Kye E. Hunter, Yuezhi Mao, Alex W. Chin, and Tim J. Zuehlsdoff.

This fork of MPSDynamics.jl has been modified by Kye E. Hunter and Evan Lambertson so that many parts are now GPU accelerated. Please see the upstream repository for additional background and documentation. The majority of the changes in this version are in src/MPSDynamics.jl and src/tensorOps.jl.

Installation

The package may be installed by typing the following into a Julia REPL

] add https://github.com/tjz21/MPSDynamics_GPU.git

It is best to install the package with GPU acceleration while logged into a machine which has GPUs. This might not usually be an issue, but for computing clusters it is best to install the package from one of the nodes on which you intend to run these calculations. Otherwise, the packages will reinstantiate on the first run.

Usage

Using this adapted version is generally similar to the upstream package, and a commented example of how to calculate linear response functions is included in this repository. The major differences in this version are:

• MPSDynamics should be loaded with the include function rather than a using statement. This is a result of needing to overwriting some functions/macros in a couple of the dependencies.
• GPU usage is assumed in this version. To use CPUs, the original MPSDynamics version should be used.