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Résumé |
ensor network methods are well-known for simulating strongly-correlated quantum
systems in one and two dimensions, but they can also be naturally applied to
problems in statistical mechanics. In this talk, I will explain how the partition
function of different types of models can be represented as a tensor network, and
how tensor networks are used for simulating these models numerically. Finally, I
will formulate a scaling hypothesis for tensor networks, which can be used to
extract critical data with high precision. [arXiv: 2102.03143] |
