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Quantum Annealing for Variational Bayes Inference

9 August 2014
Issei Sato
Kenichi Kurihara
Shu Tanaka
Hiroshi Nakagawa
S. Miyashita
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Abstract

This paper presents studies on a deterministic annealing algorithm based on quantum annealing for variational Bayes (QAVB) inference, which can be seen as an extension of the simulated annealing for variational Bayes (SAVB) inference. QAVB is as easy as SAVB to implement. Experiments revealed QAVB finds a better local optimum than SAVB in terms of the variational free energy in latent Dirichlet allocation (LDA).

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