activity
20152023
most citedQuantum many-body dynamics in two dimensions with artificial neural networks

236 citations · 1k across the 21 of their papers we have counts for

collaborators

21 papers

quant-ph2023★ 10 cited

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

Sourav Nandy, Markus Schmitt, Marin Bukov +1

Reconstructing Hamiltonians from local measurements is key to enabling reliable quantum simulation: both validating the implemented model, and identifying any left-over terms with…

cond-mat.str-el2023★ 19 cited

Highly resolved spectral functions of two-dimensional systems with neural quantum states

Tiago Mendes-Santos, Markus Schmitt, Markus Heyl

Spectral functions are central to link experimental probes to theoretical models in condensed matter physics. However, performing exact numerical calculations for interacting quant…

cond-mat.stat-mech2022★ 11 cited

Quantum many-body Jarzynski equality and dissipative noise on a digital quantum computer

Dominik Hahn, Maxime Dupont, Markus Schmitt +2

The quantum Jarzynski equality and the Crooks relation are fundamental laws connecting equilibrium processes with nonequilibrium fluctuations. They are promising tools to benchmark…

physics.comp-ph2021★ 17 cited

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

Markus Schmitt, Moritz Reh

The introduction of Neural Quantum States (NQS) has recently given a new twist to variational Monte Carlo (VMC). The ability to systematically reduce the bias of the wave function…

cond-mat.str-el2021★ 101 cited

Quantum phase transition dynamics in the two-dimensional transverse-field Ising model

Markus Schmitt, Marek M. Rams, Jacek Dziarmaga +2

The quantum Kibble-Zurek mechanism (QKZM) predicts universal dynamical behavior near the quantum phase transitions (QPTs). It is now well understood for the one-dimensional quantum…

cond-mat.str-el2021★ 3 cited

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

Moritz Reh, Markus Schmitt, Martin Gärttner

We develop a variational approach to simulating the dynamics of open quantum many-body systems using deep autoregressive neural networks. The parameters of a compressed representat…

quant-ph2021★ 17 cited

From observations to complexity of quantum states via unsupervised learning

Markus Schmitt, Zala Lenarčič

The vast complexity is a daunting property of generic quantum states that poses a significant challenge for theoretical treatment, especially in non-equilibrium setups. Therefore,…

physics.comp-ph2020★ 66 cited

Learning the ground state of a non-stoquastic quantum Hamiltonian in a rugged neural network landscape

Marin Bukov, Markus Schmitt, Maxime Dupont

Strongly interacting quantum systems described by non-stoquastic Hamiltonians exhibit rich low-temperature physics. Yet, their study poses a formidable challenge, even for state-of…

cond-mat.str-el2020★ 20 cited

Variational classical networks for dynamics in interacting quantum matter

Roberto Verdel, Markus Schmitt, Yi-Ping Huang +2

Dynamics in correlated quantum matter is a hard problem, as its exact solution generally involves a computational effort that grows exponentially with the number of constituents. W…

cond-mat.quant-gas2020★ 38 cited

Discrete truncated Wigner approach to dynamical phase transitions in Ising models after a quantum quench

Reyhaneh Khasseh, Angelo Russomanno, Markus Schmitt +2

By means of the discrete truncated Wigner approximation we study dynamical phase transitions arising in the steady state of transverse-field Ising models after a quantum quench. St…

cond-mat.str-el2020★ 90 cited

Disorder-free localization in an interacting two-dimensional lattice gauge theory

P. Karpov, R. Verdel, Y. -P. Huang +2

Disorder-free localization has been recently introduced as a mechanism for ergodicity breaking in low-dimensional homogeneous lattice gauge theories caused by local constraints imp…

cond-mat.str-el2019★ 236 cited

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

Markus Schmitt, Markus Heyl

The efficient numerical simulation of nonequilibrium real-time evolution in isolated quantum matter constitutes a key challenge for current computational methods. This holds in par…

quant-ph2019★ 20 cited

Measuring complex partition function zeroes of Ising models in quantum simulators

Abijith Krishnan, Markus Schmitt, Roderich Moessner +1

Studying the zeroes of partition functions in the space of complex control parameters allows to understand formally how critical behavior of a many-body system can arise in the the…

cond-mat.str-el2018★ 40 cited

Tripartite information, scrambling, and the role of Hilbert space partitioning in quantum lattice models

Oskar Schnaack, Niklas Bölter, Sebastian Paeckel +3

For the characterization of the dynamics in quantum many-body systems the question how information spreads and becomes distributed over the constituent degrees of freedom is of fun…

cond-mat.stat-mech2018★ 45 cited

Semiclassical echo dynamics in the Sachdev-Ye-Kitaev model

Markus Schmitt, Dries Sels, Stefan Kehrein +1

The existence of a quantum butterfly effect in the form of exponential sensitivity to small perturbations has been under debate for a long time. Lately, this question gained increa…

cond-mat.stat-mech2017★ 24 cited

Irreversible dynamics in quantum many-body systems

Markus Schmitt, Stefan Kehrein

Irreversibility, despite being a necessary condition for thermalization, still lacks a sound understanding in the context of isolated quantum many-body systems. In this work we app…

cond-mat.str-el2017★ 53 cited

Quantum dynamics in transverse-field Ising models from classical networks

Markus Schmitt, Markus Heyl

The efficient representation of quantum many-body states with classical resources is a key challenge in quantum many-body theory. In this work we analytically construct classical n…

cond-mat.quant-gas2017★ 6 cited

Universal non-analytic behavior of the non-equilibrium Hall conductance in Floquet topological insulators

Markus Schmitt, Pei Wang

We study the Hall conductance in a Floquet topological insulator in the long time limit after sudden switches of the driving amplitude. Based on a high frequency expansion of the e…

cond-mat.stat-mech2016★ 10 cited

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

Markus Schmitt, Stefan Kehrein

The question of thermalisation in closed quantum many-body systems has received a lot of attention in the past few years. An intimately related question is whether a closed quantum…

cond-mat.quant-gas2015★ 34 cited

Universal nonanalytic behavior of the Hall conductance in a Chern insulator at the topologically driven nonequilibrium phase transition

Pei Wang, Markus Schmitt, Stefan Kehrein

We study the Hall conductance of a Chern insulator after a global quench of the Hamiltonian. The Hall conductance in the long time limit is obtained by applying the linear response…

cond-mat.stat-mech2015★ 144 cited

Dynamical Quantum Phase Transitions in the Kitaev Honeycomb Model

Markus Schmitt, Stefan Kehrein

The notion of a dynamical quantum phase transition (DQPT) was recently introduced in [Heyl et al., Phys. Rev. Lett. 110, 135704 (2013)] as the non-analytic behavior of the Loschmid…