Code and notebooks used to produce the results presented in:
Luca Innocenti, Leonardo Banchi, Alessandro Ferraro, Sougato Bose, Mauro Paternostro (2020). "Supervised learning of time-independent Hamiltonians for gate design". New J. Phys. 22 065001 (arXiv:1803.07119).
- notebooks: Usage examples in the form of jupyter notebooks.
- src: Source code.
- data: Data used to produce the results shown in the paper, and more. It mostly contains saved trained nets, and its content is intended to be used through the provided interfaces (mostly defined in
net_analysis_tools.py), as shown in the example notebooks.