This work has been followed up here
QOC is an implementation of the GRAPE algorithm for Quantum Optimal Control. QOC uses autograd to perform automatic differentiation. QOC provides an extensible framework for adding cost functions and supports problems on the Schroedinger Equation and the Lindblad Master Equation.
Formal documentation for this package does not exist, but the code is heavily commented. See the tutorial to get started or check out the docstrings for the core functions.
pip install git+https://github.com/SchusterLab/qoc
QOC was originally developed at Schuster Lab at the University of Chicago. If you have a feature request, a question about QOC's functionality, or a bug report, please make a github issue. If you have another inquiry, you may contact Thomas Propson or David Schuster