qs-mps 2023.0.3

Quantum Simulation with Matrix Product State, a Tensor network method for the study of Quantum Systems

mps

Code for MPS of Quantum Many-Body Systems

Setup

1. Download from git the repository

    git clone --recursive [e-mail]:gcataldi96/ed-su2.git
   

2. Add the simsio library as a submodule (it should be already there)

    git submodule add https://github.com/rgbmrc/simsio.git
    git add .
    git commit -m "Add simsio submodule to the TTN code"
   

3. Create the Environment with all the needed python packages

    conda env create -f environment.yml
    conda activate mps
   

Enjoy 👏

Configure Simsio Simulations

This is an example of a config file that should be created inside the folder configs (if this latter does not exist, create the directory):

===:
template: |
    n$enum:
    <<<: common
    g: $g
common:
    dim: 2
    lvals: [2,2]
    pure: false
    has_obc: false
    DeltaN: 2
    m: 1.0
n0:
    <<<: common
    g: j0
n1:
    <<<: common
    g: j1

where j0 and j1 are two values of g that one would like to simulate.

If you want to create a larger set of simulations automatically, run a script like the following:

from simsio import gen_configs
import numpy as np

params = {"g": np.logspace(-1, 1, 10)}
gen_configs("template", params, "config_NAME_FILE")

Then, in "config_NAME_FILE.yaml" it will add simulations like

    ni:
    <<<: common
    g: j

where

$i$ is the $i^{th}$ simulation corresponding to the model with the g-parameter (which is not common to all the other simulations) equal to $j$

Run Simulations

To run simulations, just type on the command shell the following command:

nohup bash -c "printf 'n%s\n' {0..N} | shuf | xargs -PA -i python SU2_model.py config_NAME_FILE.yaml {} B" &>/dev/null &

where

1. N is the total number of simulations in the config_file_name,

2. A is the number of processes in parallel

3. B is the number of single-node threads per simulation