We study the behavior of mutual information (MI) in various quadratic fermionic chains, with and without pairing terms both short- long-range hoppings. The models considered include short-range limit versions Kitaev model as well, also cases which area law for entanglement entropy is - logarithmically or non-logarithmically violated. In all surveyed, when violated at most logarithmically, MI a ...

Mutual information is a popular metric in machine learning. In case of discrete target variable and continuous feature the mutual can be calculated as sum-integral weighted log likelihood ratio joint marginal density distributions. However, practice true distributions are unavailable only finite sample population given. this paper, we propose novel method for calculating variables using populat...