Rchr
J-GLOBAL ID:201801012710163584   Update date: Feb. 01, 2024

Fukuda Motohisa

フクダ モトヒサ | Fukuda Motohisa
Affiliation and department:
Homepage URL  (1): https://motohisafukuda.github.io/
Research field  (1): Information theory
Research keywords  (1): Quantum Information Theory
Research theme for competitive and other funds  (2):
  • 2020 - 2023 ランダム行列・自由確率・テンソルネットワークを用いた深層学習の研究
  • 2016 - 2019 ランダム行列と測度収束を応用した量子通信の研究
Papers (25):
  • Motohisa Fukuda, Takahiro Hasebe, Shinya Sato. Additivity violation of quantum channels via strong convergence to semi-circular and circular elements. RANDOM MATRICES-THEORY AND APPLICATIONS. 2022. 11. 01. 2250012
  • Sakiyama Hiroshi, Fukuda Motohisa, Okuno Takashi. Prediction of Blood-Brain Barrier Penetration (BBBP) Based on Molecular Descriptors of the Free-Form and In-Blood-Form Datasets. MOLECULES. 2021. 26. 24
  • Motohisa Fukuda, Takashi Okuno, Shinya Yuki. Central Object Segmentation by Deep Learning to Continuously Monitor Fruit Growth through RGB Images. Sensors. 2021. 21. 21. 6999
  • Yago Diez, Sarah Kentsch, Motohisa Fukuda, Maximo Larry Lopez Caceres, Koma Moritake, Mariano Cabezas. Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review. REMOTE SENSING. 2021. 13. 14
  • Motohisa Fukuda, Robert Koenig. Typical entanglement for Gaussian states. Journal of Mathematical Physics. 2019. 60. 112203
more...
Work history (7):
  • 2021/04 - 現在 Yamagata University Faculty of Science The Science Course Professor
  • 2017/04 - 2021/03 Yamagata University Faculty of Science The Science Course Associate Professor
  • 2015/10 - 2017/03 Yamagata University Department of Mathematical Sciences Associate Professor
  • 2012 - 2015 Technical University of Munich Researcher
  • 2010 - 2012 Institute for Quantum Computing, University of Waterloo Researcher
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