Qudi: a modular python suite for experiment control and data processing

TL;DR

Qudi is a versatile, modular Python-based platform designed for controlling laboratory experiments, offering features like GUI, live visualization, distributed execution, and support for various scientific fields.

Contribution

It introduces a structured, modular framework in Python that integrates hardware control, experiment logic, and user interface for laboratory experiments.

Findings

Supports confocal microscopy, quantum optics, and quantum information experiments

Enables distributed execution over networks

Provides rapid prototyping via Jupyter notebooks

Abstract

Qudi is a general, modular, multi-operating system suite written in Python 3 for controlling laboratory experiments. It provides a structured environment by separating functionality into hardware abstraction, experiment logic and user interface layers. The core feature set comprises a graphical user interface, live data visualization, distributed execution over networks, rapid prototyping via Jupyter notebooks, configuration management, and data recording. Currently, the included modules are focused on confocal microscopy, quantum optics and quantum information experiments, but an expansion into other fields is possible and encouraged. Qudi is available from https://github.com/Ulm-IQO/qudi and is freely useable under the GNU General Public Licence.