13 citations · 55 across the 6 of their papers we have counts for
6 papers
Quantum Annealing for Variational Bayes Inference
Issei Sato, Kenichi Kurihara, Shu Tanaka +2
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 simul…
Quantum Annealing for Clustering
Kenichi Kurihara, Shu Tanaka, Seiji Miyashita
This paper studies quantum annealing (QA) for clustering, which can be seen as an extension of simulated annealing (SA). We derive a QA algorithm for clustering and propose an anne…
Quantum Annealing for Dirichlet Process Mixture Models with Applications to Network Clustering
Issei Sato, Shu Tanaka, Kenichi Kurihara +2
We developed a new quantum annealing (QA) algorithm for Dirichlet process mixture (DPM) models based on the Chinese restaurant process (CRP). QA is a parallelized extension of simu…
Hybrid Quantum Annealing for Clustering Problems
Shu Tanaka, Ryo Tamura, Issei Sato +1
We develop a hybrid type of quantum annealing in which we control temperature and quantum field simultaneously. We study the efficiency of proposed quantum annealing and find a goo…
Quantum Annealing for Variational Bayes Inference
Issei Sato, Kenichi Kurihara, Shu Tanaka +2
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 simul…
Quantum Annealing for Clustering
Kenichi Kurihara, Shu Tanaka, Seiji Miyashita
This paper studies quantum annealing (QA) for clustering, which can be seen as an extension of simulated annealing (SA). We derive a QA algorithm for clustering and propose an anne…