2 papers
quant-ph2026
Beyond Optimization: Harnessing Quantum Annealer Dynamics for Machine Learning
Akitada Sakurai, Aoi Hayashi, Tadayoshi Matsumori +3
Quantum annealing is typically regarded as a tool for combinatorial optimization, but its coherent dynamics also offer potential for machine learning. We present a model that encod…
stat.ML2020
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method
Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi
Clustering algorithms have wide applications and play an important role in data analysis fields including time series data analysis. However, in time series analysis, most of the a…