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arXiv Machine Learning By Mark M. Wilde

Fundamentals of quantum Boltzmann machine learning with visible and hidden units

Read the original on arXiv Machine Learning →

arXiv:2512. 19819v2 Announce Type: replace-cross Abstract: One of the primary applications of classical Boltzmann machines is generative modeling, wherein the goal is to tune the parameters of a model distribution so that it closely approximates a target distribution.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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