0000000000018429

AUTHOR

Saeed S. Jahromi

showing 4 related works from this author

Spin-$\frac{1}{2}$ Heisenberg antiferromagnet on the star lattice: Competing valence-bond-solid phases studied by means of tensor networks

2018

Using the infinite Projected Entangled Pair States (iPEPS) algorithm, we study the ground-state properties of the spin-$1/2$ quantum Heisenberg antiferromagnet on the star lattice in the thermodynamic limit. By analyzing the ground-state energy of the two inequivalent bonds of the lattice in different unit-cell structures, we identify two competing Valence-Bond-Solid (VBS) phases for different antiferromagnetic Heisenberg exchange couplings. More precisely, we observe (i) a VBS state which respects the full symmetries of the Hamiltonian, and (ii) a resonating VBS state which, in contrast to previous predictions, has a six-site unit-cell order and breaks $C_3$ symmetry. We also studied the g…

Quantum phase transitionPhysicsStrongly Correlated Electrons (cond-mat.str-el)FOS: Physical sciences02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesCondensed Matter - Strongly Correlated ElectronsQuantum mechanicsLattice (order)0103 physical sciencesThermodynamic limitAntiferromagnetismTopological orderValence bond theoryCondensed Matter::Strongly Correlated Electrons010306 general physics0210 nano-technologySpin (physics)Quantum
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Fine Grained Tensor Network Methods.

2020

We develop a strategy for tensor network algorithms that allows to deal very efficiently with lattices of high connectivity. The basic idea is to fine-grain the physical degrees of freedom, i.e., decompose them into more fundamental units which, after a suitable coarse-graining, provide the original ones. Thanks to this procedure, the original lattice with high connectivity is transformed by an isometry into a simpler structure, which is easier to simulate via usual tensor network methods. In particular this enables the use of standard schemes to contract infinite 2d tensor networks - such as Corner Transfer Matrix Renormalization schemes - which are more involved on complex lattice structu…

High Energy Physics - TheoryQuantum PhysicsStrongly Correlated Electrons (cond-mat.str-el)Computer scienceHigh Energy Physics - Lattice (hep-lat)General Physics and AstronomyFOS: Physical sciencesCrystal structure01 natural sciencesTransfer matrixUnitary stateRenormalizationCondensed Matter - Strongly Correlated ElectronsHigh Energy Physics - LatticeHigh Energy Physics - Theory (hep-th)Lattice (order)0103 physical sciencesHexagonal latticeIsing modelGranularityStatistical physics010306 general physicsQuantum Physics (quant-ph)Physical review letters
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Infinite projected entangled-pair state algorithm for ruby and triangle-honeycomb lattices

2018

The infinite Projected Entangled-Pair State (iPEPS) algorithm is one of the most efficient techniques for studying the ground-state properties of two-dimensional quantum lattice Hamiltonians in the thermodynamic limit. Here, we show how the algorithm can be adapted to explore nearest-neighbor local Hamiltonians on the ruby and triangle-honeycomb lattices, using the Corner Transfer Matrix (CTM) renormalization group for 2D tensor network contraction. Additionally, we show how the CTM method can be used to calculate the ground state fidelity per lattice site and the boundary density operator and entanglement entropy (EE) on an infinite cylinder. As a benchmark, we apply the iPEPS method to th…

PhysicsQuantum PhysicsStrongly Correlated Electrons (cond-mat.str-el)FOS: Physical sciences02 engineering and technologyQuantum entanglementRenormalization group021001 nanoscience & nanotechnology01 natural sciencesTransfer matrixCondensed Matter - Strongly Correlated ElectronsLattice (order)0103 physical sciencesThermodynamic limitQuantum Physics (quant-ph)010306 general physics0210 nano-technologyAnisotropyAlgorithmQuantumPhase diagramPhysical Review B
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A universal tensor network algorithm for any infinite lattice

2018

We present a general graph-based Projected Entangled-Pair State (gPEPS) algorithm to approximate ground states of nearest-neighbor local Hamiltonians on any lattice or graph of infinite size. By introducing the structural-matrix which codifies the details of tensor networks on any graphs in any dimension $d$, we are able to produce a code that can be essentially launched to simulate any lattice. We further introduce an optimized algorithm to compute simple tensor updates as well as expectation values and correlators with a mean-field-like effective environments. Though not being variational, this strategy allows to cope with PEPS of very large bond dimension (e.g., $D=100$), and produces re…

Quantum phase transitionPhysicsStrongly Correlated Electrons (cond-mat.str-el)Heisenberg modelFOS: Physical sciences02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesSquare latticeCondensed Matter - Strongly Correlated ElectronsLattice (order)0103 physical sciencesIsing modelHexagonal latticeCondensed Matter::Strongly Correlated ElectronsTensorStatistical physics010306 general physics0210 nano-technologyPotts model
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