Lillian Frederiksen
Senior Quantum Software Developer at Xanadu
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolLillian Frederiksen is a Senior Quantum Software Developer with eight years of experience bridging experimental condensed matter physics and production-grade quantum software. She holds an M.Sc. in Experimental Condensed Matter Physics and spent 15 months of thesis research integrating novel superconducting qubit hardware into existing setups to scale measurement workflows. Lillian has practical expertise in Python data science and ML tooling (SciPy, NumPy, Pandas, PyTorch) and has applied those skills to large datasets in international research and industry settings, including a researcher role at Microsoft Copenhagen. At Xanadu she progressed from Quantum Software Developer to Senior Quantum Software Developer, contributing backend features and test automation to the widely used PennyLane library—improving quantum measurement sampling and device code. Colleagues know her for combining hands-on cleanroom and lab experience with disciplined software engineering, enabling smoother hardware-software integration in quantum experiments.
8 years of coding experience
3 years of employment as a software developer
International Bacclaureate Bilingual Diploma, International Bacclaureate Bilingual Diploma at Nørre GymnasiumMaster of Science - MS, Condensed Matter Physics, Master of Science - MS, Condensed Matter Physics at Københavns Universitet - University of CopenhagenBachelor’s Degree, Nanoscience, Bachelor’s Degree, Nanoscience at Københavns UniversitetUniversity of Pennsylvania
English, Danish, French
Github Skills (13)
unit-testing10
quantum-computing10
q-learning10
pytest10
unit-test10
python10
differentiable-programming9
automatic-differentiation9
quantum-chemistry8
machine-learning8
autograd7
pytorch6
tensorflow6
Programming languages (2)
Github contributions (5)
PennyLaneAI/pennylane
Sep 2022 - Jan 2023
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:2 releases, 1615 reviews, 184 commits in 4 months
Contributions summary:Lillian primarily contributed to the PennyLane library by implementing new features related to measurement outcomes and expanding existing functionality. Their work included generating lists of possible sampling outcomes and modifying existing device code, and writing and updating unit tests for the new features. The user also refactored and updated docstrings to reflect the changes to the library, focusing on the measurement process of the quantum computer.
pythonautomatic-differentiationdifferentiable-computingcomputerstensorflow
lillian542/amazon-braket-pennylane-plugin-python
Mar 2023 - Nov 2024
A plugin for allowing Xanadu PennyLane to use Amazon Braket devices
Contributions:60 reviews, 19 PRs, 145 pushes in 1 year 8 months
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