0000000000362218

AUTHOR

Matthias Gerster

showing 3 related works from this author

Superfluid density and quasi-long-range order in the one-dimensional disordered Bose–Hubbard model

2015

We study the equilibrium properties of the one-dimensional disordered Bose-Hubbard model by means of a gauge-adaptive tree tensor network variational method suitable for systems with periodic boundary conditions. We compute the superfluid stiffness and superfluid correlations close to the superfluid to glass transition line, obtaining accurate locations of the critical points. By studying the statistics of the exponent of the power-law decay of the correlation, we determine the boundary between the superfluid region and the Bose glass phase in the regime of strong disorder and in the weakly interacting region, not explored numerically before. In the former case our simulations are in agreem…

Monte Carlo methodGeneral Physics and AstronomyBoundary (topology)FOS: Physical sciencesBose–Hubbard model01 natural sciencesCondensed Matter::Disordered Systems and Neural Networks010305 fluids & plasmasSuperfluidityPhysics and Astronomy (all)Bose glass; disorder-driven phase transition; numerical simulation of quantum many-body systems; Physics and Astronomy (all)0103 physical sciencesnumerical simulation of quantum many-body systemsPeriodic boundary conditionsTensor010306 general physicsPhysicsCondensed Matter::Quantum GasesQuantum PhysicsCondensed matter physicsdisorder-driven phase transitionCondensed Matter::OtherBose glassDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks16. Peace & justiceVariational methodExponentQuantum Physics (quant-ph)
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The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems

2019

We present a compendium of numerical simulation techniques, based on tensor network methods, aiming to address problems of many-body quantum mechanics on a classical computer. The core setting of this anthology are lattice problems in low spatial dimension at finite size, a physical scenario where tensor network methods, both Density Matrix Renormalization Group and beyond, have long proven to be winning strategies. Here we explore in detail the numerical frameworks and methods employed to deal with low-dimension physical setups, from a computational physics perspective. We focus on symmetries and closed-system simulations in arbitrary boundary conditions, while discussing the numerical dat…

Quantum PhysicsComputer simulationComputer scienceLattice problemDensity matrix renormalization groupPhysicsQC1-999FOS: Physical sciencesData structure01 natural sciences010305 fluids & plasmasAlgebra0103 physical sciencesLinear algebraBoundary value problemQuantum Physics (quant-ph)010306 general physicsProgrammerQuantum
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Fractional quantum Hall effect in the interacting Hofstadter model via tensor networks

2017

We show via tensor network methods that the Harper-Hofstadter Hamiltonian for hard-core bosons on a square geometry supports a topological phase realizing the $\nu=1/2$ fractional quantum Hall effect on the lattice. We address the robustness of the ground state degeneracy and of the energy gap, measure the many-body Chern number, and characterize the system using Green functions, showing that they decay algebraically at the edges of open geometries, indicating the presence of gapless edge modes. Moreover, we estimate the topological entanglement entropy by taking a combination of lattice bipartitions that reproduces the topological structure of the original proposals by Kitaev and Preskill,…

FOS: Physical sciencesQuantum entanglementQuantum Hall effectExpected value01 natural sciences010305 fluids & plasmasCondensed Matter - Strongly Correlated ElectronsQuantum spin Hall effectQuantum mechanics0103 physical sciencesElectronicEntropy (information theory)Optical and Magnetic Materials010306 general physicsBosonPhysicsQuantum PhysicsChern classStrongly Correlated Electrons (cond-mat.str-el)Condensed Matter PhysicsQuantum Gases (cond-mat.quant-gas)cond-mat.quant-gas; cond-mat.quant-gas; Physics - Strongly Correlated Electrons; Quantum Physics; Electronic Optical and Magnetic Materials; Condensed Matter PhysicsFractional quantum Hall effectPhysics - Strongly Correlated ElectronsCondensed Matter - Quantum GasesQuantum Physics (quant-ph)cond-mat.quant-gasPhysical Review B
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