Machine-learning tools for rapid control, calibration and characterization of QPUs and other quantum devices
- Nicolas Wittler
- Federico Roy
- et al.
- 2021
- APS March Meeting 2021
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
Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement
- Lee Braine
- Daniel Egger
- et al.
- 2021
- IEEE TQE
Leakage reduction in fast superconducting qubit gates via optimal control
- M. Werninghaus
- Daniel J. Egger
- et al.
- 2021
- npj Quantum Information
Quantum Computing for Finance: State-of-the-Art and Future Prospects
- Daniel Egger
- Claudio Gambella
- et al.
- 2020
- IEEE TQE
Benchmarking the noise sensitivity of different parametric two-qubit gates in a single superconducting quantum computing platform
- Marc Ganzhorn
- Gian Von Salis
- et al.
- 2020
- PRResearch
Qiskit pulse: Programming quantum computers through the cloud with pulses
- Thomas Alexander
- Naoki Kanazawa
- et al.
- 2020
- Quantum Science and Technology
Option pricing using quantum computers
- Nikitas Stamatopoulos
- Daniel J. Egger
- et al.
- 2020
- Quantum
Optimal Control of Superconducting Qubits
- Max Werninghaus
- Daniel Egger
- et al.
- 2020
- APS March Meeting 2020
Characterization and tomography of a hidden qubit
- Marek Pechal
- Marc Ganzhorn
- et al.
- 2020
- APS March Meeting 2020
Quantum Computing for Finance: State-of-the-Art and Future Prospects
- Daniel J. Egger
- Claudio Gambella
- et al.
- 2020
- IEEE TQE
Patents
- AU
- 2021379051
- US
- 11941490
- US
- 11928004
- CN
- ZL201980020536.0
- GB
- 3769271
- DE
- 602019043546.0
- FR
- 3769271
- US
- 11809964
- US
- 11651264
- US
- 11562281
Blog posts
Dynamic circuits enable essential circuit cutting methods for quantum-centric supercomputing
ResearchDaniel J. Egger, Maika Takita, and Robert Davis
Top collaborators
LF
AM
Alexander Miessen
Pre-Doc in Quantum Computational Science
SW
Stefan Woerner
Manager, Quantum Computational Science
IT
Ivano Tavernelli
Global leader for advanced algorithms for quantum simulations