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Ir. Robbe De Prins  (Doctoral Researcher)

This person is working in this group since 2021.
Affiliation: Ghent University - IMEC
Department of Information Technology
Address: Technologiepark-Zwijnaarde 126
9052 Gent
Belgium
Office: iGent, Office 60.33.130.008
E-mail: robbe.deprins@ugent.be
ORCID: 0000-0002-7212-3355
LinkedIn: robbe-de-prins-90971217b/
Research Area: Photonic Quantum Machine Learning
Promotors: Peter Bienstman and Guy Van der Sande
RobbeDe Prins
Robbe De Prins was born in 1997. In 2021 he obtained a Master of Science in Engineering Physics at Ghent University. He started a PhD on photonic quantum machine learning in the photonics research group of Ghent University-IMEC.

Specific Research Topics

Publications (8)

    International Journals

  1. R. De Prins, J. Lamers, P. Bienstman, G. Van der Sande, G. Verschaffelt, T. Van Vaerenbergh, Incorporating external fields in analog Ising machines, Communications Physics, 8, p.482 doi:10.1038/s42005-025-02387-5 (2025)  Download this Publication (5.5MB).
  2. R. De Prins, G. Van der Sande, P. Bienstman, A recurrent Gaussian quantum network for online processing of quantum time series, Scientific Reports, 14(1), doi:10.1038/s41598-024-61004-7 (2024)  Download this Publication (2.5MB).
  3. R. De Prins, Y. Yao, A. Apte, F. M. Miatto, A Quadratic Speedup in the Optimization of Noisy Quantum Optical Circuits, Quantum, 7, doi:10.22331/q-2023-08-29-1097 (2023)  Download this Publication (2.4MB).
      International Conferences

    1. R. De Prins, J. Lamers, G. Van der Sande, G. Verschaffelt, P. Bienstman, T. Van Vaerenbergh, How to deal with external fields in Ising machines that use analog spins, International Workshop on Ising Machines 2025, Thu 14.15, United States, p.1 (2025)  Download this Publication (478KB).
    2. B. Frederiksen, R. De Prins, P. Bienstman, Comparative study of Potts machine dynamics and performance, International Workshop on Ising Machines 2025, Wed. 15.05, United States, p.1 (2025)  Download this Publication (265KB).
    3. P. Bienstman, A. Lugnan, S. Aggarwal, F. Brückerhoff-Plückelmann, W. Pernice, H. Bhaskaran, C. Ma, S. Sackesyn, E.J.C. Gooskens, S. Masaad, M. Gouda, R. De Prins, Optical computing in silicon photonics: self-adapting ring networks and quantum recurrent neural networks, Natural and Physical Computing (NNPC), Germany, p.1 (2023)  Download this Publication (207KB).
    4. S. Masaad, E.J.C. Gooskens, M. Gouda, R. De Prins, F. Marchesin, R. Shi, A. Lugnan, S. Sackesyn, C. Ma, Joni Dambre, P. Bienstman, Integrated Photonic Reservoir Computing for Telecommunication Applications , Neuromorphic photonics and applications (invited), Greece, (2023).
    5. P. Bienstman, A. Lugnan, C. Ma, S. Sackesyn, E.J.C. Gooskens, S. Masaad, M. Gouda, R. De Prins, Coherent optical computing in silicon photonics, Coherent Network Computing (CNC), , United States, p.D2.12.00 (2022)  Download this Publication (71KB).
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