A Vision of Quantum-Centric Supercomputing
- 2024
- PASC 2024
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
Benchmarking digital quantum simulations and optimization above hundreds of qubits using quantum critical dynamics
- 2024
- arXiv
Large-scale quantum approximate optimization on non-planar graphs with machine learning noise mitigation
- Stefan Sack
- Daniel Egger
- 2024
- PRResearch
Squeezing and quantum approximate optimization
- Gopal Chandra Santra
- Fred Jendrzejewski
- et al.
- 2024
- Physical Review A
Qiskit Experiments: A Python package to characterize and calibrate quantum computers
- 2023
- J. Open Source Softw.
Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware
- Johannes Weidenfeller
- Lucia Valor
- et al.
- 2022
- Quantum
Squeezing and quantum approximate optimization
- Gopal Chandra Santra
- Fred Jendrzejewski
- et al.
- 2022
- arXiv
Ancilla-free implementation of POVM measurements for near-term quantum algorithms
- 2022
- APS March Meeting 2022
Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware
- Johannes Weidenfeller
- Lucia Cuervo Valor
- et al.
- 2022
- arXiv
High-Speed Calibration and Characterization of Superconducting Quantum Processors without Qubit Reset
- Max Werninghaus
- Daniel Egger
- et al.
- 2021
- PRX Quantum
Patents
- AU
- 2021379051
- US
- 11941490
- US
- 11928004
- CN
- ZL201980020536.0
- GB
- 3769271
- DE
- 602019043546.0
- FR
- 3769271
- US
- 11809964
- US
- 11651264
- US
- 11562281
Top collaborators
JG
Julien Gacon
Research Scientist, Quantum Computational Science
SW
Stefan Woerner
Manager, Quantum Computational Science
IT
Ivano Tavernelli
Global leader for advanced algorithms for quantum simulations
FT
Francesco Tacchino
Research Staff Member