34 citations · 227 across the 31 of their papers we have counts for
6 papers · 1 filter
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density
Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
The eigenvalue density of a matrix plays an important role in various types of scientific computing such as electronic-structure calculations. In this paper, we propose a quantum a…
A Parallel Computing Method for the Higher Order Tensor Renormalization Group
Takumi Yamashita, Tetsuya Sakurai
In this paper, we propose a parallel computing method for the Higher Order Tensor Renormalization Group (HOTRG) applied to a -dimensional simple lattice model. Se…
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets
Akira Imakura, Tetsuya Sakurai
This paper considers computing interior singular triplets corresponding to the singular values in some interval. Based on the concept of the complex moment-based parallel eigensolv…
LSEC: Large-scale spectral ensemble clustering
Hongmin Li, Xiucai Ye, Akira Imakura +1
Ensemble clustering is a fundamental problem in the machine learning field, combining multiple base clusterings into a better clustering result. However, most of the existing metho…
Divide-and-conquer based Large-Scale Spectral Clustering
Hongmin Li, Xiucai Ye, Akira Imakura +1
Spectral clustering is one of the most popular clustering methods. However, how to balance the efficiency and effectiveness of the large-scale spectral clustering with limited comp…
Accuracy and Privacy Evaluations of Collaborative Data Analysis
Akira Imakura, Anna Bogdanova, Takaya Yamazoe +2
Distributed data analysis without revealing the individual data has recently attracted significant attention in several applications. A collaborative data analysis through sharing…