Quantum Technology Toolbox
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CJvanDiepen and lucblom Addition line fitting (#489)
* Add fit_add_line_arr to fit an addition line on data in the form of arrays and adjust the initial guess for the center and the slope in initFermiLinear
* Add adjustments to addition line fitting code based on pr comments.
* Rename fit_add_line_array and update tests
* Added verbose. Write out argument names.
Latest commit 15ac401 Jan 16, 2019

README.md

Welcome

Welcome to the QTT framework. This README will shortly introduce the framework, and it will guide you through the structure, installation process and how to contribute. We look forward to working with you!

Quantum Technology Toolbox

Quantum Technology Toolbox (QTT) is a Python-based framework developed initially by QuTech for the tuning and calibration of quantum dots and spin qubits. QuTech is an advanced research center based in Delft, the Netherlands, for quantum computing and quantum internet, a collaboration founded by the University of Technology Delft (TU Delft) and the Netherlands Organisation for Applied Scientific Research (TNO).

For usage of QTT see the detailed documentation on readthedocs.io.

QTT is the framework on which you can base your measurement and analysis scripts. QTT is based on Qcodes (basic framework such as instrument drivers, DataSet) and the SciPy ecosystem.

Installation

QTT is compatible with Python 3.5+. QTT can be installed as a pip package:

$ pip install qtt

For development we advice to install from source. First retrieve the source code using git, and then install from the qtt source directory using the command:

$ python setup.py develop

For the Vandersypen research group there are more detailed instructions, read the file INSTALL.md in the spin-projects repository.

Updating QTT

If you registered qtt with Python via setup.py develop, all you need to do to get the latest code is open a terminal window pointing to anywhere inside the repository and run git pull

Usage

See the documentation and the example notebooks in the docs/notebooks directory.

For a general introduction also see

  • Introduction to Github

  • Scientific python lectures

  • If you use Spyder then use the following settings:

    • Use a IPython console and in Tools->Preferences->IPython console->Graphics set the IPython backend graphics option to Qt5. This ensures correctly displaying the ParameterViewer and DataBrowser
    • In Tools->Preferences->Console->Advanced settings uncheck the box Enable UMR

Contributing

See Contributing for information about bug/issue reports, contributing code, style, and testing

Testing

Tests for the qtt packages are contained in the subdirectory tests and as test functions (test_*) in the code. To run the tests you can run the following command:

$ pytest

License

See License