Nanotune is not maintained and has been archived

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 <https://microsoft.github.io/nanotune/overview/index.html>_.

Getting Started

Requirements

nanotune requires a working python 3.7+ installation. We recommend using Anaconda or Miniconda for managing nanotune's python environment.

Installing

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:

.. code::

conda env create -f environment.yml
conda activate nanotune
pip install -e .

License

See License <https://github.com/microsoft/nanotune/blob/main/LICENSE>__.

Code of Conduct

nanotune strictly adheres to the Microsoft Open Source Code of Conduct <https://opensource.microsoft.com/codeofconduct/>__.