Preprints

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

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

Neural Quantum States and Peaked Molecular Wave Functions: Curse or Blessing?

A. Malyshev, M. Schmitt, A. I. Lvovsky, arXiv:2408.07625

Publications

2026

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)

Reinforcement learning entangling operations on spin qubits

M. Abedi and M. Schmitt,

EPJ Quantum Technology 13, 60 (2026)

2025

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)

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)

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)

2024

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)

Reconstructing effective Hamiltonians from nonequilibrium thermal and prethermal steady states

S. Nandy, M. Schmitt, M. Bukov, Z. Lenarčič,

Phys. Rev. Research 6, 023160 (2024)

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)

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)

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)

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)