A python library for instrument control and superconducting QIP experiments.
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JSONLibraryUtils @ d614227
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DictManager.py
DictManagerView.enaml
ExpSettingsGUI.py
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MeasFiltersViews.enaml
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README.md
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SweepsViews.enaml
config.example.json
config.py
floatbits.py

README.md

PyQLab Instrument and Qubit Control Software

Build Status Coverage Status

This is a python package for managing instruments and control parameters for superconducting qubit systems. It complements the Qlab repository by providing simple GUIs for creating the JSON settings structures used by Qlab.

Setup instructions

The most straightforward way to get up and running is to use the Anaconda Python distribution. This includes nearly all the dependencies. The few remaining can be installed from the termminal or Anaconda Command Prompt on Windows. On Windows you may also need to ensure that either the already installed git is on the path or conda install git.

Python 2

conda install atom enaml future
pip install watchdog
pip install git+https://github.com/BBN-Q/QGL.git

Python 3

PyQLab depends on enaml/atom which have only recently become Python 3 compatible via a fork. You may wan to run PyQlab from its own environment to segregate its dependencies from your standard environment.

conda create --name pyqlab python=3.6 scipy networkx h5py bokeh
source activate pyqlab
conda install -c ecpy enaml watchdog
pip install git+https://github.com/BBN-Q/QGL.git

The PyQLab config file will be created the first time you run ExpSettingsGUI.py.

Dependencies

  • Python 2.7/3.5
  • Numpy/Scipy
  • Nucleic enaml/atom
  • h5py
  • future
  • watchdog
  • Bokeh 0.7
  • iPython 3.0 (only for Jupyter notebooks)
  • QGL