Solving frustrated Ising models using tensor networks

no code implementations • 25 Jun 2020 • Bram Vanhecke, Jeanne Colbois, Laurens Vanderstraeten, Frank Verstraete, Frédéric Mila

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 models in terms of infinite tensor networks %, i. e. tensor networks that can be contracted using standard algorithms for infinite systems.

Tensor Networks Statistical Mechanics Quantum Physics