Machine learning algorithms based on generalized Gibbs ensembles
Machine learning algorithms based on generalized Gibbs ensembles is a scholarly work, published in 2018 in ''Journal of Statistical Mechanics: Theory and Experiment''. The main subjects of the publication include quantum, Boltzmann machine, mathematics, artificial intelligence, many-body problem, computer science, quantum computing, algorithm, quantum machine learning, mathematical optimization, quantum algorithm, Boltzmann distribution, MNIST database, materials informatics industry, machine learning, restricted Boltzmann machine, and partition function. The authors propose that these GGE's\ncan be successfully applied as the basis of a Boltzmann-machine-like learning\nalgorithm, which operates by learning the optimal values of effective\ntemperatures.