Jupyter/QuTiP Tutorial: Rydberg atoms

This repository contains notebooks for a tutorial giving an introduction to using Jupyter Notebooks and using QuTiP and the krotov package to simulate and optimize the dynamics of a system of Rydberg atoms.

A recording of the tutorial is available on YouTube:

• Part 1: installing Miniconda, creating an environment.yml, creating a conda environment, Git, Github, installing Github Desktop, creating a git repository, running the Jupyter notebook interface
• Part 2: Jupyter notebook basics, making git commits (snapshots) and pushing to Github, Cloning git repositories from Github, using qutip, using matplotlib, using krotov.

Questions/Problems?

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Instructions

• Install miniconda [Part 1, 0:01:10]. If you have the more complete Anaconda, that's ok, too.

• Install Github Desktop [Part 1, 1:00:47]

• Clone the repository to your computer, using Github Desktop [Part 2, 0:24:42]

• Open a shell, and navigate to the "project folder" (the cloned repository) [Part 2, 0:25:22]

• Create the conda virtual environment for the project [Part 2, 0:25:48]:

  conda env create -p .venv -f environment.yml
  

  You only need to do this once per "checkout" of the repository. If you need additional packages, edit environment.yml, delete the .venv folder, and re-create the environment.

• Activate the project environment (conda activate .\.venv on Windows [Part 1, 1:25:42], conda activate ./.venv on macOS/Linux [Part 2, 0:29:00 (Mac)]. Note that conda activate .venv does not work!

• Run the jupyter notebook server [Part 1, 1:27:28 (Windows), Part 2, 0:29:27 (Mac)]:

  jupyter notebook --debug
  

  This should open the Jupyter notebook interface in your browser.

• Activate the Jupyter Notebook Extensions. You'll want Execute Time and Table of Contents (2) [Part 1, 1:30:28]. You only need to do this once.

• Open the notebooks and run them [Part 2, 0:30:10]

Reading list

• Pro Git Book
• Conda Documentation
• Jupyter documentation
• Python tutorial
• Scipy.org. This links to the documentation for the most important packages in the scientific Python ecosystem (NumPy, SciPy, IPython, SymPy, pandas)
• QuTiP documentation. Package for the numerical description of quantum systems, with solvers for the Schrödinger and Liouville-von-Neumann equations
• krotov documentation. Optimization package on top of QuTiP