Modular data acquisition framework
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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
To get a feeling of QCoDeS read
15 minutes to QCoDeS, and/or browse the Jupyter notebooks in
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.magicare exclusively for Jupyter notebooks.
In general, refer to
here__ for installation.
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
.. code:: bash
pip install -r docs_requirements.txt
Go to the directory
.. code:: bash
This generate a webpage, index.html, in
docs/_build/htmlwith the rendered html.
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
Contributing__ for general information about bug/issue reports, contributing code, style, and testing.
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