Adriaan Rol

Executive Director - Co-Founder at Orange Quantum Systems

Delft, South Holland, Netherlands
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Summary

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Senior
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Top School
Adriaan Rol is an executive director and co-founder with 12 years of experience at the intersection of applied physics and quantum computing, currently leading R&D at Orange Quantum Systems to tackle the characterization bottleneck for superconducting qubits. He earned a cum laude PhD from TU Delft for work on control, calibration, and a novel two-qubit gate used in the Quantum Infinity full-stack transmon platform, and his cross-stack collaboration was recognized with the Zurich Instruments Pioneer Award. Comfortable both in the lab and in code, he contributes instrument drivers and validation work to prominent open-source frameworks like microsoft/QCoDeS, bridging hardware and software for automated measurement workflows. Before founding his company he consulted and built tooling for quantum experiments and has a track record of turning research prototypes into practical, testable systems.
code12 years of coding experience
bookTU Delft
bookMaster of Science, Applied Physics, Master of Science, Applied Physics at Delft University of Technology
bookGymnasium, Gymnasium at Vossius Gymnasium
languagesEnglish, Dutch, Spanish, German, French
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Stackoverflow

Stats
430reputation
53kreached
1answer
10questions
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Github Skills (15)

develop10
instrumentation10
driver10
qcc10
python10
testing9
git6
hdf6
homebrew6
holoviews6
hex6
epydoc6
github6
bokeh6
h5py6

Programming languages (7)

TypeScriptCSSC++CHTMLJupyter NotebookPython

Github contributions (5)

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microsoft/Qcodes

Jan 2016 - Oct 2017

Modular data acquisition framework
Role in this project:
userBack-end Developer & Instrumentation Engineer
Contributions:1 review, 163 commits, 9 PRs in 1 year 9 months
Contributions summary:Adriaan's contributions primarily involve developing and testing instrument drivers for scientific instruments, including a Rohde & Schwarz signal generator and an Agilent signal source. They added and modified instrument drivers within the QCoDeS framework, suggesting a focus on integrating and controlling hardware for data acquisition. The user's work also includes adding functionality and validators, indicating a focus on usability, instrument control, and integration with data acquisition workflows. The user also contributes to the software with driver modifications and other bug fixes, highlighting familiarity with the QCoDeS code base.
data-acquisitiondata-aquisitionphysics
DiCarloLab-Delft/PycQED_py3

Jan 2016 - Mar 2020

Python3 version of PycQED using QCoDeS as backend
Contributions:1 release, 2970 commits, 335 PRs in 4 years 3 months
backendpython
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