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Deep reinforcement learning to achive electron transport on quantum dot

GitHub License

This notebook uses two implementations of a deep reinforcement algorithm in a coherent transport problem over a system of coupled quantum dots. First one is the Baseline (see Notebook 2 in the notebooks folder) implementation, from an external library which is the one that performs the better. The second one is a proper implementation using the Keras library.

The enviroment construction notebook is currently is commented in spanish but it will be changed in the following days

Installation and dependencies

Download the GitHub repository and follow the next step befor go to run the notebooks.

Some dependencies:

Create a conda environment

conda create --name drl_env

Activate the environment

conda activate drl_env

Install de dependencies. Just use the following command. Be sure you have Pip installed in your enviroment

pip install -r requirements.txt


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Jupyter notebooks for a project of quantum transport using DRL

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