Nanotune is a QCoDeS- and Python-based automated tuning software, which uses supervised machine learning to enable autonomous bring-up of gate-defined quantum dots.
Read more about it here.
nanotune requires a working python 3.7+ installation. We recommend using Anaconda or Miniconda for managing nanotune's python environment.
At the moment, nanotune is only available from GitHub. After cloning, you can set up a python environment in your preferred way, either using the requirements.txt or environment.yml. When using conda, simply navigate into the outer nanotune folder in a terminal and type:
conda env create -f environment.yml conda activate nanotune pip install -e .
See License.
nanotune strictly adheres to the Microsoft Open Source Code of Conduct.