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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
Office: iGent, Office
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 (5)

    International Journals

  1. 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).
  2. 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. 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).
    2. 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).
    3. 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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