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Strong quantum interactions prevent quasiparticle decay
Ruben Verresen, Frank Pollmann, Roderich Moessner
Quantum states of matter---such as solids, magnets and topological phases---typically exhibit collective excitations---phonons, magnons, anyons. These involve the motion of many pa…
Solving efficiently the dynamics of many-body localized systems at strong disorder
Giuseppe De Tomasi, Frank Pollmann, Markus Heyl
We introduce a method to efficiently study the dynamical properties of many-body localized systems in the regime of strong disorder and weak interactions. Our method reproduces qua…
Quantum Dynamics of the Square-Lattice Heisenberg Model
Ruben Verresen, Frank Pollmann, Roderich Moessner
Despite nearly a century of study of the Heisenberg model on the square lattice, there is still disagreement on the nature of its high-energy excitations. By tuning toward…
Detection and characterization of Many-Body Localization in Central Spin Models
Daniel Hetterich, Norman Y. Yao, Maksym Serbyn +2
We analyze a disordered central spin model, where a central spin interacts equally with each spin in a periodic one dimensional random-field Heisenberg chain. If the Heisenberg cha…
Machine learning of quantum phase transitions
Xiao-Yu Dong, Frank Pollmann, Xue-Feng Zhang
Machine learning algorithms provide a new perspective on the study of physical phenomena. In this paper, we explore the nature of quantum phase transitions using multi-color convol…
Efficient numerical simulations with Tensor Networks: Tensor Network Python (TeNPy)
Johannes Hauschild, Frank Pollmann
Tensor product state (TPS) based methods are powerful tools to efficiently simulate quantum many-body systems in and out of equilibrium. In particular, the one-dimensional matrix-p…