About Me
Over the past years I have gained practical and strategic experience working with the full (classical and quantum) Machine Learning pipeline. I have 20+ patents issued or pending, 5+ papers published (Springer, IOPS, IEEE, ACM, Arxiv), and communicated the topic of (classical and quantum) Machine Learning across all organizational layers of various Fortune 100 companies.
Startup Experience
2022: Co-founder at Stealth Startup
2020: Co-founder at PushQuantum
Industry Experience
2021 - 2022: Google X / X, the Moonshot Factory
2017 - 2020: BMW Research
2014 - 2017: IBM Research
Education
2023: Doctor of Philosophy in Physics - Eisert Group, Free University of Berlin
2015: Master of Science in Embedded Systems - Delft University of Technology
2009: Bachelor of Engineering in Electrical Engineering - Avans University of Applied Sciences
Selected Publications
Hubregtsen, T., Wierichs, D., Gil-Fuster, E., Derks, P. J. H., Faehrmann, P. K., & Meyer, J. J. (2021). Training quantum embedding kernels on near-term quantum computers. arXiv preprint arXiv:2105.02276.
Hubregtsen, T., Wilde, F., Qasim, S., & Eisert, J. (2022). Single-component gradient rules for variational quantum algorithms. Quantum Science and Technology, 7(3), 035008.
Bertels, K.L.M., Sarkar, A., Hubregtsen, T., Serrao, M., Mouedenne, A. A., Yadav, A., … & Ashraf, I. (2020, March). Quantum computer architecture: Towards full-stack quantum accelerators. In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1-6). IEEE.
Selected Patents
Liu, F., Brock, B. and Hubregtsen, T.S., International Business Machines Corp (2022). Deployment verification of authenticity of machine learning results. U.S. Patent 11,321,611.
Hofstee, H.P. and Hubregtsen, T.S., International Business Machines Corp (2020). System combining efficient reliable storage and deduplication. U.S. Patent 10,719,399.
Hubregtsen, T.S., Bayerische Motoren Werke AG (2018). A method, apparatus and means for automatically associating a first and second video data stream with a corresponding first and second audio data stream. D.E. Patent DE102018206216A1.