DynExp—Highly flexible laboratory automation for dynamically changing classical and quantum experiments

Experiments in science and particularly quantum physics grow complex requiring sophisticated control software. Such software must provide a rigorous abstraction between hardware and measurement modules. Furthermore, it should provide networking functionality for accessing shared devices connected to a network and for publishing measured data to remote sites. However, to date there is no fast and easy-to-use experimental control software for this purpose written in C++. We introduce DynExp as a highly flexible laboratory automation software. It enables to assign physical devices to measurement modules at runtime and provides networking functionality. Its embedded Python interpreter allows processing measured data in realtime.

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Publication Details

Journal
SoftwareX
Published
2024-11-13
DOI
https://doi.org/10.1016/j.softx.2024.101964
Citations
1
Primary Topic
Diamond and Carbon-based Materials Research
Type
article
Field-Weighted Citation Impact
0.12

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article

DynExp—Highly flexible laboratory automation for dynamically changing classical and quantum experiments

Tim Schröder, Julian M. Bopp
1 citations
SoftwareX
Diamond and Carbon-based Materials Research
0.12
article

DynExp—Highly flexible laboratory automation for dynamically changing classical and quantum experiments

Tim Schröder, Julian M. Bopp
article en
1 citations

Abstract

Experiments in science and particularly quantum physics grow complex requiring sophisticated control software. Such software must provide a rigorous abstraction between hardware and measurement modules. Furthermore, it should provide networking functionality for accessing shared devices connected to a network and for publishing measured data to remote sites. However, to date there is no fast and easy-to-use experimental control software for this purpose written in C++. We introduce DynExp as a highly flexible laboratory automation software. It enables to assign physical devices to measurement modules at runtime and provides networking functionality. Its embedded Python interpreter allows processing measured data in realtime.

SoftwareXVol. 28
Ferdinand-Braun-Institut (DE), Humboldt-Universität zu Berlin (DE)
Bundesministerium für Bildung und Forschung, European Research Council, H2020 European Research Council
Openalex Percentile: Top 58%
Diamond and Carbon-based Materials Research
0.12
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