activity
20152020
most citedTime-evolution methods for matrix-product states

680 citations · 1.7k across the 21 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cond-mat.str-el2019★ 41 cited

Evaluation of time-dependent correlators after a local quench in iPEPS: hole motion in the t-J model

C. Hubig, A. Bohrdt, M. Knap +2

Infinite projected entangled pair states (iPEPS) provide a convenient variational description of infinite, translationally-invariant two-dimensional quantum states. However, the si…

quant-ph2019★ 3 cited

Open quantum systems in thermal non-ergodic environments

Carlos A. Parra-Murillo, Max Bramberger, Claudius Hubig +1

The dynamics of an open system crucially depends on the correlation function of its environment, . We show that for thermal non-Harmonic environments may not decay…

cond-mat.str-el2019★ 313 cited

Absence of superconductivity in the pure two-dimensional Hubbard model

Mingpu Qin, Chia-Min Chung, Hao Shi +5

We study the superconducting pairing correlations in the ground state of the doped Hubbard model -- in its original form without hopping beyond nearest neighbor or other perturbing…

cond-mat.str-el2019★ 47 cited

Imaginary-time matrix product state impurity solver in a real material calculation: Spin-orbit coupling in SrRuO

Nils-Oliver Linden, Manuel Zingl, Claudius Hubig +2

Using an imaginary-time matrix-product state (MPS) based quantum impurity solver we perform a realistic dynamical mean-field theory (DMFT) calculation combined with density functio…

cond-mat.quant-gas2019★ 46 cited

Gaussian time dependent variational principle for the Bose-Hubbard model

Tommaso Guaita, Lucas Hackl, Tao Shi +3

We systematically extend Bogoliubov theory beyond the mean field approximation of the Bose-Hubbard model in the superfluid phase. Our approach is based on the time dependent variat…

cond-mat.str-el2019★ 5 cited

Use and implementation of autodifferentiation in tensor network methods with complex scalars

Claudius Hubig

Following the recent preprints arXiv:1903.09650 and arXiv:1906.04654 we comment on the feasibility of implementation of autodifferentiation in standard tensor network toolkits by b…