Christopher Warren
Research Scientist at Niels Bohr Institute, University of Copenhagen
Denmark
Summary
👤
Senior🎓
Top SchoolChristopher Warren is a research scientist with nine years of interdisciplinary experience building and controlling superconducting quantum hardware, from theory and fabrication to experimental deployment. Trained at Waterloo’s IQC and Chalmers (PhD work in microtechnology and experimental quantum computing), he has led projects in analog quantum simulation, quantum annealing, and quantum optimal control, including an implementation of the Schwinger model. His hands-on skill set spans cryogenics, machining, RF electronics, instrument drivers and fabrication process development, and he has contributed backend code to prominent open-source tooling for superconducting device design (qiskit-metal). Christopher combines academic rigor with production-focused engineering—he’s developed a public Python control package implementing a Frank Wilhelm algorithm—and has collaborated with industry labs including Google Quantum AI and national research centers. Based in Denmark, he specializes in translating complex quantum control theory into reproducible experimental platforms.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Microtechnology and Nanoscience, Doctor of Philosophy - PhD, Microtechnology and Nanoscience at Chalmers University of TechnologyMasters (M.Sc), Physics, Masters (M.Sc), Physics at University of Waterloo
Github Skills (9)
quantum-computing10
simulation-modeling10
qiskit10
python10
numpy10
scipy9
quantum-mechanics9
smart-device7
eda4
Programming languages (3)
Github contributions (5)
qiskit-community/qiskit-metal
Dec 2020 - Jun 2021
Quantum Hardware Design. Open-source project for engineers and scientists to design superconducting quantum devices with ease.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 9 commits, 1 PR in 6 months
Contributions summary:Christopher implemented a class (`H_CPB`) for analytically modeling the Cooper Pair Box (CPB) Hamiltonian, a key component for simulating superconducting quantum devices. Their work focuses on numerically calculating CPB properties, including eigenvalues, eigenvectors, and transition energies. They also added methods for computing the anharmonicity and number operator matrix elements, which are critical for characterizing qubit behavior. Furthermore, they designed methods to work backward from target qubit frequency and anharmonicity to extract the target Ej and Ec for device design.
scientistsgdsqiskitdevicequantum-computing
warrench/pyGOAT
May 2018 - Jan 2019
Contributions:12 commits, 10 pushes, 1 branch in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.