activity
20122026
most citedVariational optimization algorithms for uniform matrix product states

270 citations · 2.3k across the 66 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

hep-lat2020★ 5 cited

Lattice regularisation and entanglement structure of the Gross-Neveu model

Gertian Roose, Nick Bultinck, Laurens Vanderstraeten +3

We construct a Hamiltonian lattice regularisation of the -flavour Gross-Neveu model that manifestly respects the full symmetry, preventing the appearance of any…

cond-mat.str-el2020★ 1 cited

Robustness of critical U(1) spin liquids and emergent symmetries in tensor networks

Henrik Dreyer, Laurens Vanderstraeten, Ji-Yao Chen +2

We study the response of critical Resonating Valence Bond (RVB) spin liquids to doping with longer-range singlets, and more generally of U(1)-symmetric tensor networks to non-symme…

cond-mat.stat-mech2020★ 26 cited

Solving frustrated Ising models using tensor networks

Bram Vanhecke, Jeanne Colbois, Laurens Vanderstraeten +2

Motivated by the recent success of tensor networks to calculate the residual entropy of spin ice and kagome Ising models, we develop a general framework to study frustrated Ising m…

quant-ph2020★ 22 cited

Efficient variational contraction of two-dimensional tensor networks with a non-trivial unit cell

A. Nietner, B. Vanhecke, F. Verstraete +2

Tensor network states provide an efficient class of states that faithfully capture strongly correlated quantum models and systems in classical statistical mechanics. While tensor n…

quant-ph2020

Tangent-space methods for truncating uniform MPS

Bram Vanhecke, Maarten Van Damme, Jutho Haegeman +2

A central primitive in quantum tensor network simulations is the problem of approximating a matrix product state with one of a lower bond dimension. This problem forms the central…