Benchmarking digital quantum simulations using quantum critical dynamics
- 2024
- QSim 2024
Bio
Alexander Miessen is a Ph.D. student working jointly between the Quantum Computational Science group at IBM Quantum, IBM Research - Zurich, and the University of Zurich. His current research centers on developing quantum algorithms for quantum dynamics and their application to problems in many-body quantum systems.
He joined IBM Quantum for his Master's thesis in 2020 and holds a B.Sc. in physics from Humboldt University Berlin and an M.Sc. in physics from ETH Zurich.
Publications
Benchmarking digital quantum simulations and optimization above hundreds of qubits using quantum critical dynamics
- 2024
- arXiv
A Hybrid Quantum-Classical Method for Electron-Phonon Systems*
- Haoran Yan
- Yao Wang
- et al.
- 2024
- APS March Meeting 2024
Quantum data learning for quantum simulations in high-energy physics
- Lento Nagano
- Alexander Miessen
- et al.
- 2023
- PRResearch
Quantum algorithms for grid-based variational time evolution
- Pauline Jeanne Ollitrault
- Sven Jandura
- et al.
- 2023
- Quantum
A hybrid quantum-classical method for electron-phonon systems
- M. Michael Denner
- Alexander Miessen
- et al.
- 2023
- Communications Physics
Quantum algorithms for quantum dynamics
- Alexander Miessen
- Pauline J. Ollitrault
- et al.
- 2022
- Nat. Comput. Sci.
Quantum algorithms for quantum dynamics: A performance study on the spin-boson model
- Alexander Miessen
- Pauline Jeanne Ollitrault
- et al.
- 2022
- ACS Spring 2022
Molecular quantum dynamics: a quantum computing perspective
- Pauline Jeanne Ollitrault
- Alexander Miessen
- et al.
- 2022
- ACS Spring 2022
Quantum algorithms for quantum dynamics: A performance study on the spin-boson model
- Alexander Miessen
- Pauline Jeanne Ollitrault
- et al.
- 2021
- PRResearch
Top collaborators
IT
Ivano Tavernelli
Global leader for advanced algorithms for quantum simulations
FT
Francesco Tacchino
Research Staff Member
DE
Daniel Egger
Senior Research Scientist