Below you find a list of my publications and preprints. For my Google Scholar profile click here. My arXiv preprints are listed here.
My dissertation is published here.


jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration,
M. Schmitt and M. Reh, arXiv:2108.03409

Quantum phase transition dynamics in the two-dimensional transverse-field Ising model,
Markus Schmitt, Marek M. Rams, Jacek Dziarmaga, Markus Heyl, and Wojciech H. Zurek, arXiv:2106.09046



From observations to complexity of quantum states via unsupervised learning,
Markus Schmitt, Zala Lenarčič, Phys. Rev. B 106, L041110 (2022), arXiv:2102.11328


Time-dependent variational principle for open quantum systems with artificial neural networks,
Moritz Reh, Markus Schmitt, and Martin Gärttner, Phys. Rev. Lett. 127, 230501 (2021), arXiv:2104.00013

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

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


Discrete truncated Wigner approach to dynamical phase transitions in Ising models after a quantum quench,
R. Khasseh, A. Russomanno, M. Schmitt, M. Heyl, R. 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


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

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

Semiclassical echo dynamics in the Sachdev-Ye-Kitaev model,
Markus Schmitt, Dries Sels, Stefan Kehrein, and Anatoli Polkovnikov, Phys. Rev. B 99, 134301 (2019), arXiv:1802.06796


Irreversible dynamics in quantum many-body systems,
Markus Schmitt and Stefan Kehrein, Phys. Rev. B 98, 180301(R) (2018) [Editors' suggestion], 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


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


Effective time reversal and echo dynamics in the transverse field Ising model,
Markus Schmitt and Stefan Kehrein, EPL 115, 50001 (2016), arXiv:1607.02272

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


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