Frederik Wilde
Ph.D. Student at Freie Universität Berlin
Berlin, Germany
Summary
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Top SchoolFrederik Wilde is a Ph.D. student in quantum information science at Freie Universität Berlin with seven years of research and software experience bridging theoretical condensed matter physics, statistical learning, and near-term quantum computing. His work in Jens Eisert’s group focuses on variational algorithms, quantum-assisted machine learning, and quantum annealing/optimization, while a brief industry residency at Xanadu and prototyping work at PTB reflect practical software and systems exposure. He has a strong numerical background from earlier projects modeling stiff polynomial systems and building database interfaces for modular metrology cloud infrastructure. Based in Berlin, Frederik combines rigorous academic training with hands-on implementation skills and a particular interest in translating theoretical quantum methods into near-term, hardware-aware applications.
7 years of coding experience
1 year of employment as a software developer
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Freie Universität BerlinAbitur, Abitur at Rudolf-Steiner-Schule Berlin
English, Russian, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (41)
autodiff10
pytorch10
quantum-chemistry10
quantum-algorithms10
python10
acceleration10
machine-learning10
cross-platform10
cirq10
photonics10
numpy10
automatic-differentiation10
deep-learning10
tensorflow10
gpu10
Programming languages (4)
Github contributions (5)
frederikwilde/hl-run-manager
Jan 2023 - Dec 2024
A tool containing scripts and modules used for planning, executing, and monitoring numerical experiments on Hamiltonian/Lindbladian learning.
Contributions:1 PR, 32 pushes, 7 branches in 1 year 11 months
planninghamiltonianmonitoring
frederikwilde/differentiable-tebd
Jun 2022 - Dec 2022
Contributions:14 commits, 5 pushes in 5 months
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