Preprints

Reconstructing effective Hamiltonians from nonequilibrium (pre-)thermal steady states

S. Nandy, M. Schmitt, M. Bukov, Z. Lenarčič, 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, arXiv:2301.13216

Verification of the Quantum Jarzynski Equality on Digital Quantum Computers

Dominik Hahn, Maxime Dupont, Markus Schmitt, David J. Luitz, Marin Bukov, arXiv:2207.14313

Publications

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)

Optimizing Design Choices for Neural Quantum States

Moritz Reh, Markus Schmitt, and Martin Gärttner,

Phys. Rev. B 107, 195115 (2023)

2022

From observations to complexity of quantum states via unsupervised learning

Markus Schmitt and Zala Lenarčič,

Phys. Rev. B 106, L041110 (2022)

jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration

Markus Schmitt and Moritz Reh,

SciPost Phys. Codebases 2 (2022)

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)

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)

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)

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)

Time-dependent variational principle for open quantum systems with artificial neural networks

Moritz Reh, Markus Schmitt, Martin Gärttner,

Phys. Rev. Lett. 127, 230501 (2021)

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)

Quantum many-body dynamics in two dimensions with artificial neural networks

Markus Schmitt and Markus Heyl,

Phys. Rev. Lett. 125, 100503 (2020)

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)

Semiclassical echo dynamics in the Sachdev-Ye-Kitaev model

Markus Schmitt, Dries Sels, Stefan Kehrein, Anatoli Polkovnikov,

Phys. Rev. B 99, 134301 (2019)

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)

2018

Irreversible dynamics in quantum many-body systems

Markus Schmitt and Markus Heyl,

Phys. Rev. B 98, 180301(R) (2018)

Quantum dynamics in transverse-field Ising models from classical networks

Markus Schmitt and Markus Heyl,

SciPost Phys. 4, 013 (2018)

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)

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)

Effective time reversal and echo dynamics in the transverse field Ising model

Markus Schmitt and Stefan Kehrein,

EPL 115, 50001 (2016)

2015

Dynamical Quantum Phase Transitions in the Kitaev Honeycomb Model

Markus Schmitt and Stefan Kehrein,

Phys. Rev. B 92, 075114 (2015)