Prof. Dr. Michael Hartmann
Chair of Theoretical Physics
Professors
Address
Staudtstraße 791058 Erlangen
Contact
Posts
Bring research together: First FAU LMQ Science Day took place
On November 12th, the first FAU LMQ Science Day took place at the Physikum in Erlangen. This event brought together…
FAU LMQ People Spotlight: Verena Feulner
What is your research topic? What is your current role? I am a PhD student at the Chair for Theoretical…
New Academic Year 2025/2026
We are looking forward to a new academic year filled with research, collaborations, and scientific exchange. To get the winter…
#FAUinsights – Mobility of the future – research meets practice
From May 21 to July 9 2025, renowned experts from FAU, Energie Campus Nürnberg (EnCN), and their cooperation partners from…
Collegium Alexandrinum Summer semester 2025: Nature and culture in transition
The lecture series in the summer semester 2025 deals with small and tiny parts, reports on new developments in medical…
FAU LMQ Research Spotlight: Large-scale simulations of Floquet physics on near-term quantum computers
In their recent work published in Nature Partner Journal Quantum Information, Timo Eckstein, Refik Mansuroglu, Piotr Czarnik, Jian-Xin Zhu, Michael…
FAU LMQ People Spotlight: Michael J. Hartmann
In this FAU LMQ People Spotlight, we interviewed our member Michael J. Hartmann, who is chair holder of the Chair for…
Installation of new supercomputers for simulation and AI
The Center for National High-Performance Computing at Friedrich-Alexander-Universität Erlangen-Nürnberg (NHR@FAU) has ordered the installation of two supercomputers. With the new…
Quantum computers: When quantum hardware meets artificial neural networks
Quantum computers could double the computing power of today’s supercomputers. But how far away are they from becoming reality?
FAU is set to become a beacon in quantum research
Consortium from Erlangen receives roughly 3 million euros from the Free State of Bavaria.
Publications
- , , :
Efficient Quantum Cooling Algorithm for Fermionic Systems
In: Quantum 9 (2025), Article No.: 1635
ISSN: 2521-327X
DOI: 10.22331/q-2025-02-18-1635 - , , , , , , , , , , , , :
Solving an industrially relevant quantum chemistry problem on quantum hardware
In: Quantum Science and Technology 10 (2025), Article No.: 015066
ISSN: 2058-9565
DOI: 10.1088/2058-9565/ad9ed3 - , :
Designing fast quantum gates using optimal control with a reinforcement-learning ansatz
In: Physical Review Applied 23 (2025), Article No.: 014015
ISSN: 2331-7019
DOI: 10.1103/PhysRevApplied.23.014015
- , , , , , , , :
Large-scale simulations of Floquet physics on near-term quantum computers
In: npj Quantum Information 10 (2024), Article No.: 84
ISSN: 2056-6387
DOI: 10.1038/s41534-024-00866-1
URL: https://arxiv.org/abs/2303.02209 - , , , , :
Quantum Tensor-Product Decomposition from Choi-State Tomography
In: PRX Quantum 5 (2024), Article No.: 030306
ISSN: 2691-3399
DOI: 10.1103/PRXQuantum.5.030306 - , , , :
Deep learning of many-body observables and quantum information scrambling
In: Quantum 8 (2024)
ISSN: 2521-327X
DOI: 10.22331/q-2024-07-18-1417 - , , , :
Highly efficient encoding for job-shop scheduling problems and its application on quantum computers
In: Quantum Science and Technology 10 (2024), p. 015051
ISSN: 2058-9565
DOI: 10.1088/2058-9565/ad9cba - , , :
Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
In: Physical Review Research 6 (2024), Article No.: 033111
ISSN: 2643-1564
DOI: 10.1103/PhysRevResearch.6.033111
- , , :
Tunable coupler to fully decouple and maximally localize superconducting qubits
In: Physical Review Applied 20 (2023), Article No.: 064037
ISSN: 2331-7019
DOI: 10.1103/PhysRevApplied.20.064037 - , , , , :
Variational Hamiltonian simulation for translational invariant systems via classical pre-processing
In: Quantum Science and Technology 8 (2023), Article No.: 025006
ISSN: 2058-9565
DOI: 10.1088/2058-9565/acb1d0 - , , :
Problem-specific classical optimization of Hamiltonian simulation
In: Physical Review Research 5 (2023), Article No.: 043035
ISSN: 2643-1564
DOI: 10.1103/PhysRevResearch.5.043035 - , , , , :
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning
4th IEEE International Conference on Quantum Computing and Engineering, QCE 2023 (Bellevue, WA, 17. September 2023 – 22. September 2023)
In: Hausi Muller, Yuri Alexev, Andrea Delgado, Greg Byrd (ed.): Proceedings – 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023 2023
DOI: 10.1109/QCE57702.2023.10181 - , , , , :
Quantum Policy Gradient Algorithm with Optimized Action Decoding
40th International Conference on Machine Learning, ICML 2023 (Honolulu, HI, 23. July 2023 – 29. July 2023)
In: Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett (ed.): Proceedings of Machine Learning Research 2023
- , , , , , , :
Single shot i-Toffoli gate in dispersively coupled superconducting qubits
In: Applied Physics Letters 120 (2022)
ISSN: 0003-6951
DOI: 10.1063/5.0077443 - , :
Variational quantum eigensolver ansatz for the J1-J2 -model
In: Physical Review B 106 (2022), Article No.: 144426
ISSN: 0163-1829
DOI: 10.1103/PhysRevB.106.144426 - , , , , , , , , , , , , , , , , , :
Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases
In: Nature Communications 13 (2022)
ISSN: 2041-1723
DOI: 10.1038/s41467-022-31679-5 - , , , , , , :
Direct implementation of a perceptron in superconducting circuit quantum hardware
In: Physical Review Research 4 (2022)
ISSN: 2643-1564
DOI: 10.1103/PhysRevResearch.4.033190