Deep Quantum Sensing

Deep learning to make predictions from quantum sensor measurements (simulated with this repository).

Set up

$ conda env create -f environment.yml

To use W&B, first it is necessary to run

$ wandb login

Additionally, plotting the model arquitecture requieres the installation of graphviz. Otherwise, this installation is not necessary.

Define the dataset, model and training configuration using a configuration YAML file and run

$ python main.py -c [config_file]

An example of a configuration file for each possible type of model is included in the folder config_files.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
config_files		config_files
README.md		README.md
environment.yml		environment.yml
generator.py		generator.py
main.py		main.py
models.py		models.py
plot_results.py		plot_results.py
save_results.py		save_results.py