Quantum Advantage in Variational Bayes Inference. (arXiv:2207.03104v1 [stat.ML])

Variational Bayes (VB) inference algorithm is used widely to estimate both
the parameters and the unobserved hidden variables in generative statistical
models. The algorithm -- inspired by variational methods used in computational
physics -- is iterative and can get easily stuck in local minima, even when
classical techniques, such as deterministic annealing (DA), are used. We study
a variational Bayes (VB) inference algorithm based on a non-traditional quantum
annealing approach -- referred to as quantum annealing variational Bayes (QAVB)
inference …

arxiv bayes inference ml quantum quantum advantage