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Quantum Advantage in Variational Bayes Inference. (arXiv:2207.03104v1 [stat.ML])
July 8, 2022, 1:10 a.m. | Hideyuki Miyahara, Vwani Roychowdhury
cs.LG updates on arXiv.org arxiv.org
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 …
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