Optimal Control of Superconducting Qubits
- Max Werninghaus
- Daniel Egger
- et al.
- 2020
- APS March Meeting 2020
Bio
Dr. Daniel J. Egger is a researcher in the Quantum Applications Research & Software group in IBM Research – Zurich. His current research focuses on quantum information processing with superconducting circuits, pulse-level control of quantum systems, and quantum algorithms.
He was awarded a PhD with distinction from the Saarland University (Germany) in 2014 for his thesis entitled “Optimal control and quantum simulations in superconducting quantum devices”. For his PhD thesis, he received the Dr. Eduard-Martin prize.
Daniel J. Egger holds an MSc degree from EPFL Lausanne Switzerland.
Publications
Characterization and tomography of a hidden qubit
- Marek Pechal
- Marc Ganzhorn
- et al.
- 2020
- APS March Meeting 2020
Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments
- David McKay
- Thomas Alexander
- et al.
- 2018
- arXiv
Patents
- AU
- 2021379051
- US
- 11941490
- US
- 11928004
- CN
- ZL201980020536.0
- FR
- 3769271
- GB
- 3769271
- DE
- 602019043546.0
- US
- 11809964
- US
- 11651264
- US
- 11562281
Projects
Quantum Optimization
Applying quantum algorithms to various optimization problems
Top collaborators
SW
Stefan Woerner
Manager, Quantum Computational Science
JG
Julien Gacon
Research Scientist, Quantum Computational Science
IT
Ivano Tavernelli
Global leader for advanced algorithms for quantum simulations
MW
Mira Luca Wolf-Bauwens
Responsible Quantum Computing Lead