CQS group

Publikationen

2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015

2026

Geometric inflation of deviations challenges neural quantum states in dynamics of quantum Ising models
W. Krinitsin, J.B. Rigo, M. Abedi, and M. Schmitt
arXiv:2609.07645
Neural quantum states in condensed matter: advances, best practices, and prospects
Jonas B. Rigo, Björn J. Wurst, Rajah Nutakki, Markus Schmitt, and Dante Kennes
arXiv:2608.21291
Exploring the Relaxation Landscape of a 2D Quantum Magnet on a 256-Qubit Processor
T. Mendes-Santos, J. Vovrosh, S. Julià-Farré, D. Claveau, G. Villaret, L. Béguin, L. Leclerc, L. Brunner, W. Krinitsin, M. Hecker, F. Hayes, B. Albrecht, L. Bourachot, C. Briosne-Frejaville, A. Cornillot, J. de Hond, D. Diallo, C. Dupays, R. Dupont, T. Eritzpokhoff, L. Henriet, L. Lassablière, A. Lindberg, Y. Machu, H. Mamann, T. Pansiot, J. Ripoll, B. Ximenez, H. Silvério, J. Tindall, M. Schmitt, M. Heyl, A. Signoles, C. Dalyac, A. Browaeys, and A. Dauphin
arXiv:2608.07178
Disorder-enhanced compressibility of Floquet random quantum circuits
F. De Franco, D.M. Kennes, D.J. Luitz, M. Rizzi, and M. Schmitt
arXiv:2607.14296
Comment on 'Beyond-classical computation in quantum simulation'
W. Krinitsin, N. Alert, M. Rizzi, and M. Schmitt
arXiv:2607.08811
Machine Learning Optimal Quantum Error Correction Thresholds
D. Seip, L. Colmenarez, M. Schmitt, and M. Müller
arXiv:2606.22194
Modeling light-matter coupled systems with neural quantum states
N. Salmeron, M. Bukov, M. Schmitt
arXiv:2606.14352
Compressed minimum-purity time evolution for late-time quantum dynamics
M. Bhateja, J.B. Rigo, and M.Schmitt
arXiv:2606.11392
Neural network modeling of many-body super- and sub-radiant dynamics
G. Lagnese, L. Brunner, L. Rossi, D. Chang, M. Schmitt, and Z. Lenarčič
arXiv:2605.0464
Time-dependent variational Monte Carlo without bias
W. Krinitsin and M. Schmitt
arXiv:2605.0393
Simulating dynamics of the two-dimensional transverse-field Ising model: a comparative study of large-scale classical numerics
J. Vovrosh, S. Julià-Farré, W. Krinitsin, M. Kaicher, F. Hayes, E. Gottlob, A. Kshetrimayum, K. Bidzhiev, S. B. Jäger, M. Schmitt, J. Tindall, C. Dalyac, T. Mendes-Santos, A. Dauphin
Phys. Rev. Research 8, 023311 (2026) arXiv:2511.19340
Reinforcement learning entangling operations on spin qubits
M. Abedi and M. Schmitt
EPJ Quantum Technology 13, 60 (2026) arXiv:2508.14761

2025

Operator lanczos approach enabling neural quantum states as real-frequency impurity solvers
J. B. Rigo and M. Schmitt
arXiv:2512.08624
Learning to stabilize nonequilibrium phases of matter with active feedback using partial information
G. Cemin, M. Schmitt, and M. Bukov
arXiv:2508.06612
Simulating dynamics of correlated matter with neural quantum states
Markus Schmitt and Markus Heyl
arXiv:2506.03124
Quantum computing and artificial intelligence: status and perspectives
G. Acampora et al.
arXiv:2505.23860
Time evolution of the quantum Ising model in two dimensions using Tree Tensor Networks
W. Krinitsin, N. Tausendpfund, M. Heyl, M. Rizzi, M. Schmitt
Phys. Rev. B 112, 134310 (2025) arXiv:2505.07612
Many-body dynamics with explicitly time-dependent neural quantum states
Anka Van de Walle, Markus Schmitt, Annabelle Bohrdt
Mach. Learn.: Sci. Technol. 6 045011 (2025) arXiv:2412.11830
Roughening dynamics of interfaces in two-dimensional quantum matter
Wladislaw Krinitsin, Niklas Tausendpfund, Matteo Rizzi, Markus Heyl, and Markus Schmitt
Phys. Rev. Lett. 134, 240402 (2025) arXiv:2412.10145

2024

Neural Quantum States and Peaked Molecular Wave Functions: Curse or Blessing?
A. Malyshev, M. Schmitt, A. I. Lvovsky
arXiv:2408.07625
Reinforcement learning pulses for transmon qubit entangling gates
H.N. Nguyen, F. Motzoi, M. Metcalf, K.B. Whaley, M. Bukov, M. Schmitt
Machine Learning: Science and Technology 5, 025066 (2024) arXiv:2311.03684
Reconstructing effective Hamiltonians from nonequilibrium thermal and prethermal steady states
S. Nandy, M. Schmitt, M. Bukov, Z. Lenarčič
Phys. Rev. Research 6, 023160 (2024) arXiv:2308.08608
Wave function network description and Kolmogorov complexity of quantum many-body systems
T. Mendes-Santos, M. Schmitt, A. Angelone, A. Rodriguez, P. Scholl, H. J. Williams, D. Barredo, T. Lahaye, A. Browaeys, M. Heyl, and M. Dalmonte
Phys. Rev. X 14, 021029 (2024) arXiv:2301.13216

2023

Highly resolved spectral functions of two-dimensional systems with neural quantum states
Tiago Mendes-Santos, Markus Schmitt, Markus Heyl
Phys. Rev. Lett. 131, 046501 (2023) arXiv:2303.08184
Optimizing Design Choices for Neural Quantum States
Moritz Reh, Markus Schmitt, and Martin Gärttner
Phys. Rev. B 107, 195115 (2023) arXiv:2301.06788
Quantum Many-Body Jarzynski Equality and Dissipative Noise on a Digital Quantum Computer
Dominik Hahn, Maxime Dupont, Markus Schmitt, David J. Luitz, Marin Bukov
Phys. Rev. X 13, 041023 (2023) arXiv:2207.14313

2022

From observations to complexity of quantum states via unsupervised learning
Markus Schmitt and Zala Lenarčič
Phys. Rev. B 106, L041110 (2022) arXiv:2102.11328
jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration
Markus Schmitt and Moritz Reh
SciPost Phys. Codebases 2 (2022) arXiv:2108.03409
Quantum phase transition dynamics in the two-dimensional transverse-field Ising model
Markus Schmitt, Marek M. Rams, Jacek Dziarmaga, Markus Heyl, Wojciech H. Zurek
Sci. Adv. 8, abl6850 (2022) arXiv:2106.09046

2021

Disorder-free localization in an interacting two-dimensional lattice gauge theory
P. Karpov, R. Verdel, Y.-P. Huang, M. Schmitt, M. Heyl
Phys. Rev. Lett. 126, 130401 (2021) arXiv:2003.04901
Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape
Marin Bukov, Markus Schmitt, Maxime Dupont
SciPost Phys. 10, 147 (2021) arXiv:2011.11214
Variational classical networks for dynamics in interacting quantum matter
Roberto Verdel, Markus Schmitt, Yi-Ping Huang, Petr Karpov, Markus Heyl
Phys. Rev. B 103, 165103 (2021) arXiv:2007.16084
Time-dependent variational principle for open quantum systems with artificial neural networks
Moritz Reh, Markus Schmitt, Martin Gärttner
Phys. Rev. Lett. 127, 230501 (2021) arXiv:2104.00013

2020

Discrete truncated Wigner approach to dynamical phase transitions in Ising models after a quantum quench
Reyhaneh Khasseh, Angelo Russomanno, Markus Schmitt, Markus Heyl, Rosario Fazio
Phys. Rev. B 102, 014303 (2020) arXiv:2004.09812
Quantum many-body dynamics in two dimensions with artificial neural networks
Markus Schmitt and Markus Heyl
Phys. Rev. Lett. 125, 100503 (2020) arXiv:1912.08828

2019

Measuring complex partition function zeroes of Ising models in quantum simulators
Abijith Krishnan, Markus Schmitt, Roderich Moessner, Markus Heyl
Phys. Rev. A 100, 022125 (2019) arXiv:1902.07155
Semiclassical echo dynamics in the Sachdev-Ye-Kitaev model
Markus Schmitt, Dries Sels, Stefan Kehrein, Anatoli Polkovnikov
Phys. Rev. B 99, 134301 (2019) arXiv:1802.06796
Tripartite information, scrambling, and the role of Hilbert space partitioning in quantum lattice models
Oskar Schnaack, Niklas Bölter, Sebastian Paeckel, Salvatore R. Manmana, Stefan Kehrein, Markus Schmitt
Phys. Rev. B 100, 224302 (2019) arXiv:1808.05646

2018

Irreversible dynamics in quantum many-body systems
Markus Schmitt and Markus Heyl
Phys. Rev. B 98, 180301(R) (2018) arXiv:1711.00015
Quantum dynamics in transverse-field Ising models from classical networks
Markus Schmitt and Markus Heyl
SciPost Phys. 4, 013 (2018) arXiv:1707.06656

2017

Universal non-analytic behavior of the non-equilibrium Hall conductance in Floquet topological insulators
Markus Schmitt and Pei Wang
Phys. Rev. B 96, 054306 (2017) arXiv:1703.01113

2016

Universal nonanalytic behavior of the Hall conductance in a Chern insulator at the topologically driven nonequilibrium phase transition
Pei Wang, Markus Schmitt, and Stefan Kehrein
Phys. Rev. B 93, 085134 (2016) arXiv:1511.05255
Effective time reversal and echo dynamics in the transverse field Ising model
Markus Schmitt and Stefan Kehrein
EPL 115, 50001 (2016) arXiv:1607.02272

2015

Dynamical Quantum Phase Transitions in the Kitaev Honeycomb Model
Markus Schmitt and Stefan Kehrein
Phys. Rev. B 92, 075114 (2015) arXiv:1505.03401