61 citations · 396 across the 20 of their papers we have counts for
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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…
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…
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…