qcodespp 0.1.13

Package providing additional functions for QCoDeS

qcodes++

qcodes++ (aka qcodespp, qcpp, qc++) is a python package to run scientific experiments. qcodes++ is built on top of QCoDeS, both extending capabilities and preserving older features.

QCoDeS is a Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium. It contains a huge range of drivers for communicating with instruments, and a flexible - but complex - database-based method for collecting data and running measurement loops.

The qcodes++ package provides a user-friendly frontend to the solid backend of QCoDeS. If you have always wanted to run your measurements using python but found QCoDeS too daunting, qcodes++ is the package for you. qcodes++ features:

• Simple yet powerful methods for running experiments and storing data

• True live plotting featuring sub-second, point-by-point updates without performance impact

• A feature-rich offline plotting/analysis tool for publication-quality figures, including curve fitting, making linecuts of 2D data, smoothing, taking derivatives and more

• Text-based data storage for easy access and long-term stability

• Improvements to core QCoDeS functionalities (e.g. Station, Parameters) to streamline data acquisition, protect (meta)data integrity and minimise user error

• Improved drivers for certain instruments

• and other user-friendliness improvements

qcodes++ is installed alongside/around QCoDeS, meaning all features of both packages can be used seamlessly within the same notebook/environment. e.g. you could still use the QCoDeS dataset and measurement process for some experiments while relying on qcodes++ in other instances. In addition, all top level qcodes functions are available in qcodes++ with the same names.

The name: In addition to being a really stupid pun on q(c++), it reflects the fact that really we just want to add some nice features to the main package, and also it makes me happy because totally coincidentally we have always named our plotting windows pp, e.g. pp = qc.live_plot().

Documentation

is available at https://qcodespp.github.io

Installation

See https://qcodespp.github.io/installation.html

QCoDeS and qcodes++ are compatible with Python 3.10+. They are primarily intended for use from Jupyter notebooks and Jupyter lab, but can also be used from Spyder, traditional terminal-based shells and in stand-alone scripts.

License

See License.

Contact and contributing

Issue reporting, feedback and contributions are more than welcome! The best way to raise an issue is through the GitHub issue tracker, and the best way to contribute is by forking the repository and submitting a pull request (see the relevant GitHub documentation for how to do this). This package is largely maintained by Damon Carrad. If you have a question but not a GitHub account, you can contact me at [e-mail].