Acknowledgments
This book was written based on discussions about physics and machine learning
with many people around us. Particularly essential were the discussions at the
symposia “Deep Learning and Physics” and “Deep Learning and Physics 2018”
held at Osaka University, as well as at research meetings and seminars around
the world. We would like to take this opportunity to thank all those involved.
We thank Tetsuya Akutagawa, Naoyuki Sumimoto, Norihito Shirai, Yuki Nagai,
Yuta Kikuchi, Shuji Kitora, and Sayaka Sone for reading and commenting on the
Japanese draft. Akinori Tanaka gratefully acknowledges support from the RIKEN
Center for Advanced Intelligence Project and RIKEN Interdisciplinary Theoretical
and Mathematical Sciences Program (iTHEMS). Akio Tomiya thanks Prof. HengTong Ding at Central China Normal University. If he had not hired Akio as a postdoc
and given Akio an environment to freely study issues which are different from his
profession, the papers that sparked this book would not have been possible. Akio
would like to thank Prof. Makoto Matsumoto at Hiroshima University for pointing
out the relationship between true random numbers and the Kolmogorov complexity.
Koji Hashimoto thanks his wife, Haruko Hashimoto, who understands writing and
research well. We all thank Haruko Hashimoto for her support on English translation
and Mr. Atsushi Keiyama, an editor at Kodansha Scientific, for his effort on the
publication of the Japanese version of this book (published in June 2019). We are
grateful to Prof. Hirosi Ooguri and Prof. Masatoshi Imada who kindly supported the
publication of this book at Springer, and also to Mr. Nakamura for his editorial work
on this book. Finally, we would like to thank the researchers from all over the world
for discussing physics and machine learning at various locations.
ix
This book was written based on discussions about physics and machine learning
with many people around us. Particularly essential were the discussions at the
symposia “Deep Learning and Physics” and “Deep Learning and Physics 2018”
held at Osaka University, as well as at research meetings and seminars around
the world. We would like to take this opportunity to thank all those involved.
We thank Tetsuya Akutagawa, Naoyuki Sumimoto, Norihito Shirai, Yuki Nagai,
Yuta Kikuchi, Shuji Kitora, and Sayaka Sone for reading and commenting on the
Japanese draft. Akinori Tanaka gratefully acknowledges support from the RIKEN
Center for Advanced Intelligence Project and RIKEN Interdisciplinary Theoretical
and Mathematical Sciences Program (iTHEMS). Akio Tomiya thanks Prof. HengTong Ding at Central China Normal University. If he had not hired Akio as a postdoc
and given Akio an environment to freely study issues which are different from his
profession, the papers that sparked this book would not have been possible. Akio
would like to thank Prof. Makoto Matsumoto at Hiroshima University for pointing
out the relationship between true random numbers and the Kolmogorov complexity.
Koji Hashimoto thanks his wife, Haruko Hashimoto, who understands writing and
research well. We all thank Haruko Hashimoto for her support on English translation
and Mr. Atsushi Keiyama, an editor at Kodansha Scientific, for his effort on the
publication of the Japanese version of this book (published in June 2019). We are
grateful to Prof. Hirosi Ooguri and Prof. Masatoshi Imada who kindly supported the
publication of this book at Springer, and also to Mr. Nakamura for his editorial work
on this book. Finally, we would like to thank the researchers from all over the world
for discussing physics and machine learning at various locations.
ix