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2020
DOI: 10.1103/physrevb.102.035115
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Hybrid infinite time-evolving block decimation algorithm for long-range multidimensional quantum many-body systems

Abstract: In recent years, the infinite time-evolving block decimation (iTEBD) method has been demonstrated to be one of the most efficient and powerful numerical schemes for time evolution in one-dimensional quantum many-body systems. However, a major shortcoming of the method, along with other state-of-the-art algorithms for manybody dynamics, has been their restriction to one spatial dimension. We present an algorithm based on a hybrid extension of iTEBD where finite blocks of a chain are first locally time evolved b… Show more

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Cited by 21 publications
(20 citation statements)
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“…[34]. Indeed, the generally accepted explanation-based on results of long-range interacting quantum spin modelsfor why the dynamical critical point can be smaller than the equilibrium critical point has been that this is most likely due to interactions [18][19][20][21][22][23][24][25][26]. Nevertheless, as indicated in our previous work Ref.…”
Section: The α > 3 Regimementioning
confidence: 95%
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“…[34]. Indeed, the generally accepted explanation-based on results of long-range interacting quantum spin modelsfor why the dynamical critical point can be smaller than the equilibrium critical point has been that this is most likely due to interactions [18][19][20][21][22][23][24][25][26]. Nevertheless, as indicated in our previous work Ref.…”
Section: The α > 3 Regimementioning
confidence: 95%
“…The type of nonanalyticities that occur in the wake of a quench can either be regular or anomalous [18,20]. The former are the cusps that occur for quenches crossing the dynamical critical point, while the latter can occur for arbitrarily small quenches within the ordered phase of the system, and they have been shown to be connected to local spin excitations forming the lowest-lying excitations in the spectrum of the quench Hamiltonian [24,25,70].…”
Section: Dynamical Quantum Phase Transitionsmentioning
confidence: 99%
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