Qkit

Qkit -- a quantum measurement suite in python

Features:

• a collection of ipython notebooks for measurement and data analysis tasks.
• hdf5 based data storage of 1,2 and 3 dimensional data, including a viewer.
• classes for data fitting, e.g. of microwave resonator data. This includes also a robust circle fit algorithm.
• extended and maintained drivers for various low frequency and microwave electronics.
• based on qtlab, but large parts of the framework can be used independently.

Platform:

The qkit framework has been tested under windows and with limits under macos x and linux. The gui requires h5py, qt and pyqtgraph, which work fine on these platforms.

Requirements:

Basic:

• An up to date python distribution, including the qt gui libs.
  e.g. anaconda python http://continuum.io/downloads
  python xy http://pythonxynews.blogspot.de/
• h5py http://www.h5py.org/
• pyqtgraph is required by the viewer (qkit/gui/qviewkit) : http://www.pyqtgraph.org/

Full:

• For a full installation, qtlab is required, e.g. from https://github.com/heeres/qtlab

Installation:

• copy the qkit archive to an apropriate place

Standalone:

• add the qkit/qkit directory to your systems PYTHONPATH variable

with Qtlab:

• add the qkit/qkit directory to your systems PYTHONPATH variable
• change the path variables in Qtlab's userconfig.py apropriately, e.g. config['user_insdir'] config['scriptdirs'] It useful to add it to system path like this: sys.path.append('path_of_qkit_folder')

Developed since 2015 at KIT by

J.C. Braumueller
J. Brehm
M. Pfirrmann
S. Probst
A. Schneider
Y. Schön
A. Stehli
H. Rotzinger