7 papers
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…
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…
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…
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…
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…
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…