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arXiv Machine Learning By Marco Fanizza, Cambyse Rouz\'e, Daniel Stilck Fran\c{c}a

Efficient Hamiltonian, structure and trace distance learning of Gaussian states

Read the original on arXiv Machine Learning →

arXiv:2411. 03163v4 Announce Type: replace-cross Abstract: In this work, we initiate the study of Hamiltonian learning for positive temperature bosonic Gaussian states, the quantum generalization of the widely studied problem of learning Gaussian graphical models.

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