Leakage in restless quantum gate calibration
- Conrad J. Haupt
- Daniel J. Egger
- 2023
- Physical Review A
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
Well-conditioned multi-product formulas for hardware-friendly Hamiltonian simulation
- 2023
- Quantum
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
Ancilla-free implementation of generalized measurements for qubits embedded in a qudit space
- Laurin E. Fischer
- Daniel Miller
- et al.
- 2022
- PRResearch
Minimum Quantum Run-Time Characterization and Calibration via Restless Measurements with Dynamic Repetition Rates
- Caroline Tornow
- Naoki Kanazawa
- et al.
- 2022
- Physical Review Applied
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
Credit Risk Analysis Using Quantum Computers
- Daniel J. Egger
- Ricardo Garcia Gutierrez
- et al.
- 2021
- IEEE TC
Patents
- JP
- 7197962
- JP
- 7189966
- US
- 11494532
- US
- 11281524
- US
- 11210600
- US
- 10997520
- US
- 10810665
- US
- 10748078
- US
- 10452991
- US
- 10354198
Projects
Quantum Optimization
Applying quantum algorithms to various optimization problems
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