Machine learning (ML) has emerged as a formidable force for identifying hidden but
pertinent patterns within a given data set with the objective of subsequent generation of …

Coupling a quantum many-body system to an external environment dramatically changes its
dynamics and offers novel possibilities not found in closed systems. Of special interest are …

We investigate the nature of the ground state of the spin-1 2 Heisenberg antiferromagnet on
the shuriken lattice by complementary state-of-the-art numerical techniques, such as …

Many-body localization is a striking mechanism that prevents interacting quantum systems
from thermalizing. The absence of thermalization behavior manifests itself, for example, in a …

We study the ground state properties of the hole-doped three-band Hubbard (Emery) model,
describing the copper-oxygen planes of the cuprates, using large-scale two-dimensional …

We investigate the ground state of the spin S= 1 2 Heisenberg antiferromagnet on the
shuriken lattice, also in the presence of an external magnetic field. To this end, we employ …

Numerical treatment of two-dimensional strongly-correlated systems is both extremely
challenging and of fundamental importance. Infinite projected entangled-pair states (PEPS) …

In this paper we identify a previously unexplored type of topological defect in spiral spin
liquids—the momentum vortex—and reveal its dominant role in sha** the low-energy …

Tensor network algorithms have proven to be very powerful tools for studying one-and two-
dimensional quantum many-body systems. However, their application to three-dimensional …

Tensor networks provide succinct representations of quantum many-body states and are an
important computational tool for strongly correlated quantum systems. Their expressive and …