H.C. Donker H.C. (Hylke) Donker
PhD candidate at Radboud University, Nijmegen (RU) in the Netherlands;
Interests: Foundations of quantum theory;
Research group:Theory of Condensed Matter (TCM)
Room number: HG 03.067
Telephone number:
E-mail address:h.donker at science.ru.nl


PhD Physics
Research project: Foundations of quantum theory (TCM)
Radboud University [Nijmegen] 2014 - ...
MSc (Theoretical) Physics [cum laude]
Research project: Event-based simulations (Comp. Phys.)
Rijksuniversiteit Groningen [Groningen] 2012 - 2014
BSc Chemical Engineering
Research project: Cavitation erosion (MCS)
University of Twente [Enschede] 2008 - 2014
VWO NT+NG Pantarijn [Wageningen] 2003 - 2008


Capgemini Open Source Award [Jury price] (2008)
Award obtained for developing an open source (Linux) gaming distribution platform. The project, Starez, was developed in collaboration with Sjors Gielen.

Manuscripts and theses

H.C. Donker, H. De Raedt, and K. Michielsen,
Event-by-event simulation of a quantum delayed-choice experiment
Comp. Phys. Comm., 185 (2014) 3109–3118
H.C. Donker
Event-based simulations of single photon experiments
Master thesis (2014)
H.C. Donker
On the mechanism of acoustically induced cavitation erosion of brittle materials.
Bachelor thesis (2011)

Event-based simulations

Wave-particle morphing Using the event-based approach one can simulate single photon or neutron experiments by causally connecting components which mimick the experimental set-up. The event-based approach combines classical electrodynamics with the concept of single indivisble entities (i.e. particles), without the need to invoke quantum theory. More information can be found at: http://rugth30.phys.rug.nl/dlm/
During my master research project I have developed Python code to simulate a quantum-delayed choice experiment using the event-based approach (arXiv:1408.5593). The program code for the individual components is written such that new experiments are readily constructed by virtue of the components being re-usable and object oriented. The Python code for the components and the experiment itself is freely available:
Download Python code