Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium
QCoDeS is a Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium. While it has been developed to serve the needs of nanoelectronic device experiments, it is not inherently limited to such experiments, and can be used anywhere a system with many degrees of freedom is controllable by computer. To learn more about QCoDeS, browse our homepage .
QCoDeS is compatible with Python 3.7+. It is primarily intended for use from Jupyter notebooks, but can be used from traditional terminal-based shells and in stand-alone scripts as well. The features in qcodes.utils.magic are exclusively for Jupyter notebooks.
In general, refer to here for installation.
Read it here . Documentation is updated and deployed on every successful build in master.
We use sphinx for documentations, makefiles are provided both for Windows, and *nix, so that you can build the documentation locally.
Make sure that you have the extra dependencies required to install the docs
pip install -r docs_requirements.txt
Go to the directory docs and
This generate a webpage, index.html, in docs/_build/html with the rendered html.
Code of Conduct
QCoDeS strictly adheres to the Microsoft Open Source Code of Conduct
The QCoDeS instrument drivers developed by the members of the QCoDeS community but not supported by the QCoDeS developers are contained in
See Contributing for general information about bug/issue reports, contributing code, style, and testing.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size qcodes-0.29.1-py3-none-any.whl (1.2 MB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size qcodes-0.29.1.tar.gz (982.9 kB)||File type Source||Python version None||Upload date||Hashes View|