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20162023
most citedMany-body localization dynamics from gauge invariance

197 citations · 491 across the 18 of their papers we have counts for

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Showing 2017Show all

7 papers · 1 filter

cond-mat.stat-mech2017

Dynamical potentials for non-equilibrium quantum many-body phases

Sthitadhi Roy, Achilleas Lazarides, Markus Heyl +1

Out of equilibrium phases of matter exhibiting order in individual eigenstates, such as many-body localised spin glasses and discrete time crystals, can be characterised by inheren…

cond-mat.stat-mech2017

Dynamical quantum phase transitions: a review

Markus Heyl

Quantum theory provides an extensive framework for the description of the equilibrium properties of quantum matter. Yet experiments in quantum simulators have now opened up a route…

cond-mat.stat-mech2017★ 63 cited

Dynamical Quantum Phase Transitions in Systems with Continuous Symmetry Breaking

Simon A. Weidinger, Markus Heyl, Alessandro Silva +1

Interacting many-body systems that are driven far away from equilibrium can exhibit phase transitions between dynamically emerging quantum phases, which manifest as singularities i…

cond-mat.str-el2017

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.str-el2017★ 197 cited

Many-body localization dynamics from gauge invariance

Marlon Brenes, Marcello Dalmonte, Markus Heyl +1

We show how lattice gauge theories can display many-body localization dynamics in the absence of disorder. Our starting point is the observation that, for some generic translationa…

cond-mat.quant-gas2017

Dynamical Topological Quantum Phase Transitions for Mixed States

M. Heyl, J. C. Budich

We introduce and study dynamical probes of band structure topology in the post-quench time-evolution from mixed initial states of quantum many-body systems. Our construction genera…