Zobrazeno 1 - 10
of 145 464
pro vyhledávání: '"A. Endo"'
Autor:
B. Reilly-O’Donnell, E. Ferraro, R. Tikhomirov, R. Nunez-Toldra, A. Shchendrygina, L. Patel, Y. Wu, A. L. Mitchell, A. Endo, L. Adorini, R. A. Chowdhury, P. K. Srivastava, F. S. Ng, C. Terracciano, C. Williamson, J. Gorelik
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
IntroductionCardiac fibrosis occurs in a wide range of cardiac diseases and is characterised by the transdifferentiation of cardiac fibroblasts into myofibroblasts these cells produce large quantities of extracellular matrix, resulting in myocardial
Externí odkaz:
https://doaj.org/article/8c20f039b50c4792893e250d610b77f3
Autor:
Anai, Keitaro, Suzuki, Yasunari, Tokunaga, Yuuki, Matsuzaki, Yuichiro, Takeda, Shuntaro, Endo, Suguru
Continuous-variable (CV) quantum computing is a promising candidate for quantum computation because it can utilize infinite-dimensional Hilbert space even with one mode and efficiently handle continuous values. Although the photonic platforms have be
Externí odkaz:
http://arxiv.org/abs/2411.19505
Autor:
Kasahara, Yuichiro, Akinari, Kota, Kouno, Tomoya, Sano, Noriko, Abe, Taro, Yamauchi, Genki, Endo, Daisuke, Hashimoto, Takeshi, Nagatani, Keiji, Kurazume, Ryo
In recent years, labor shortages due to the declining birthrate and aging population have become significant challenges at construction sites in developed countries, including Japan. To address these challenges, we are developing an open platform cal
Externí odkaz:
http://arxiv.org/abs/2412.00147
Autor:
Endo, Katsuhiro, Takahashi, Kazuaki Z.
From weather to neural networks, modeling is not only useful for understanding various phenomena, but also has a wide range of potential applications. Although nonlinear differential equations are extremely useful tools in modeling, their solutions a
Externí odkaz:
http://arxiv.org/abs/2411.16233
Autor:
Zhuang, Chen, Chen, Peng, Liu, Xin, Yokota, Rio, Dryden, Nikoli, Endo, Toshio, Matsuoka, Satoshi, Wahib, Mohamed
Graph Convolutional Networks (GCNs) are widely used in various domains. However, training distributed full-batch GCNs on large-scale graphs poses challenges due to inefficient memory access patterns and high communication overhead. This paper present
Externí odkaz:
http://arxiv.org/abs/2411.16025
Distributed quantum computation (DQC) is a promising approach for scalable quantum computing, where high-fidelity non-local operations among remote devices are required for universal quantum computation. These operations are typically implemented thr
Externí odkaz:
http://arxiv.org/abs/2411.10024
Autor:
Suzuki, Yudai, Aoki, Shiori, Key, Fabian, Endo, Katsuhiro, Matsuda, Yoshiki, Tanaka, Shu, Behr, Marek, Muramatsu, Mayu
Topology optimization is an essential tool in computational engineering, for example, to improve the design and efficiency of flow channels. At the same time, Ising machines, including digital or quantum annealers, have been used as efficient solvers
Externí odkaz:
http://arxiv.org/abs/2411.08405
Autor:
Takagi, Kenichiro, Moriya, Naoki, Aoki, Shiori, Endo, Katsuhiro, Muramatsu, Mayu, Fukagata, Koji
Publikováno v:
Fluid Dynamics Research (2024)
We investigate the possibility and current limitations of flow computations using quantum annealers by solving a fundamental flow problem on Ising machines. As a fundamental problem, we consider the one-dimensional advection-diffusion equation. We fo
Externí odkaz:
http://arxiv.org/abs/2411.05326
Autor:
Kaneda, Masaya, Tsuruoka, Shun, Shinya, Hikari, Fukushima, Tetsuya, Endo, Tatsuro, Tadano, Yuriko, Takeda, Takahito, Masago, Akira, Tanaka, Masaaki, Katayama-Yoshida, Hiroshi, Ohya, Shinobu
Memristors, which are characterized by their unique input-voltage-history-dependent resistance, have garnered significant attention for the exploration of next-generation in-memory computing, reconfigurable logic circuits, and neural networks. Memris
Externí odkaz:
http://arxiv.org/abs/2411.04355
Relighting of human images enables post-photography editing of lighting effects in portraits. The current mainstream approach uses neural networks to approximate lighting effects without explicitly accounting for the principle of physical shading. As
Externí odkaz:
http://arxiv.org/abs/2411.00356