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プレプリント

17. Kohei Yoshimura and Sosuke Ito
“Thermodynamic uncertainty relation and thermodynamic speed limit in deterministic chemical reaction networks”
arXiv:2104.14748 (pdf) (2021).

16. Muka Nakazato and Sosuke Ito
“Geometrical aspects of entropy production in stochastic thermodynamics based on Wasserstein distance”
arXiv:2103.00503 (pdf) (2021).

15.  Keita Ashida, Kazuhiro Aoki and Sosuke Ito
    ”Experimental evaluation of thermodynamic cost and speed limit in living cells via information geometry” 
    bioRiv https://doi.org/10.1101/2020.11.29.403097 (pdf) (2020).

12.  Sosuke Ito
    ”Thermodynamics of information geometry as a generalization of the Glansdorff-Prigogine criterion for stability” 
    arXiv:1908.09446 (pdf) (2019).

査読付きジャーナル

14.  Kohei Yoshimura and Sosuke Ito
    ”Information Geometric Inequalities of Chemical Thermodynamics” 
Physical Review Research 3, 013175 (2021).
     arXiv:2005.08444 (pdf).

11.  Matthijs Meijers, Sosuke Ito, and Pieter Rein ten Wolde
    ”Behavior of information flow near criticality” 
   Physical Review E 103, L010102 (2021)
 arXiv:1906.00787 (pdf).

10.  Sosuke Ito, Masafumi Oizumi, and Shun-ichi Amari,
    ”Unified framework for the entropy production and the stochastic interaction based on information geometry”
Physical Review Research 2, 033048 (2020).
Preprint: Sosuke Ito  ”Unified framework for the second law of thermodynamics and information thermodynamics based on information geometry” 
    arXiv:1810.09545 (pdf).

13.  Shun Otsubo, Sosuke Ito, Andreas Dechant and Takahiro Sagawa
    ”Estimating entropy production by machine learning of short-time fluctuating currents” 
    Physical Review E 101, 062106 (2020).
arXiv:2001.07460 (pdf)

9.  Sosuke Ito and Andreas Dechant
    ”Stochastic time-evolution, information geometry and the Cramer-Rao Bound” 
Physical Review X 10, 021056 (2020).
    arXiv:1810.06832 (pdf).

8.  Sosuke Ito
    ”Stochastic thermodynamic interpretation of information geometry” 
    Physical Review Letters 121, 030605 (2018).
    arXiv:1712.04311 (pdf)

7.  Shumpei Yamamoto, Sosuke Ito, Naoto Shiraishi and Takahiro Sagawa
    “Linear Irreversible Thermodynamics and Onsager Reciprocity for Information-driven Engines” 
    Physical Review E 94, 052121 (2016). 
    arXiv:1604.07988 (pdf)

6.  Sosuke Ito 
    “Backward transfer entropy: Informational measure for detecting hidden Markov models and its interpretations in thermodynamics, gambling and causality” 
    Scientific Reports 6, 36831 (2016). 
    arXiv:1605.00301 (pdf)

5.  Nobuyuki Matsumoto, Kentaro Komori, Sosuke Ito, Yuta Michimura and Yoichi Aso
    ”Directed measurement of optical trap-induced decoherence” 
    Physical Review A 94, 033822 (2016). 
    arXiv:1603.05364 (pdf)

4.  Sosuke Ito and Takahiro Sagawa
    “Maxwell’s demon in biochemical signal transduction with feedback loop” 
    Nature Communications 6, 7498 (2015). 
    arXiv:1406.5810 (pdf
    注目の論文 (natureasia.com)
    一般報道: マイナビニュース(2015年6月26日)財経新聞(2015年7月5日), 科学新聞(2015年7月17日)

3.  Naoto Shiraishi, Sosuke Ito, Kyogo Kawaguchi and Takahiro Sagawa
    “Role of measurement-feedback separation in autonomous Maxwell’s demon” 
    New Journal of Physics 17, 045012 (2015). 
    arXiv:1501.06071 (pdf)

2.  Sosuke Ito and Takahiro Sagawa
    “Information Thermodynamics on Causal Networks” 
    Physical Review Letters 111, 180603 (2013). 
    arXiv:1306.2756 (pdf)

1.  Sosuke Ito and Masaki Sano
    “Effects of error on fluctuations under feedback control” 
    Physical Review E 84, 021123 (2011). 
    arXiv:1105.5456 (pdf)

書籍

2. 伊藤創祐
    “情報幾何学と物理学 – ゆらぐ系の熱力学の視点から”, 
     数理科学 2020年11月号 [特集] 情報幾何学の探究-基礎と応用, 現状と展望に迫る, サイエンス社 (2020).

1. Sosuke Ito
    “Information Thermodynamics on Causal Networks and its Application to Biochemical Signal Transduction”, 
    Springer, (2016). (ISBN: 978-981-10-1664-6)
     Reproduced from my Ph.D. thesis in Springer Theses, Nominated as an outstanding contribution by the University of Tokyo’s Physics Department in 2015 

単行本 (Book chapter)

1. Sosuke Ito and Takahiro Sagawa
   “Information flow and entropy production on Bayesian networks” 
As a chapter of M. Dehmer, F. Emmert-Streib, Z. Chen, X. Li, Y. Shi (Eds.), “Mathematical Foundations and Applications of Graph Entropy”, 
     Wiley, 2016. (ISBN: 978-3-527-33909-9)
     arXiv:1506.08519 (pdf

総説

3.  伊藤 創祐
    “講義ノート – ネットワーク上の情報熱力学とその生体情報処理への応用” 
     物性研究電子版, 6(4), 064232 (2017).

2.  伊藤 創祐, 沙川 貴大
    “最近の研究から – ネットワーク上の情報熱力学とその生体情報処理への応用” 
    日本物理学会誌, 72, 9 (2017). 

1.  伊藤 創祐
    ”トピックス(新進気鋭シリーズ)- 適応センサー中のマクスウェルのデーモン” 
    生物物理, 56, 232 (2016). 

会議抄録

2.  伊藤 創祐, 佐野 雅己
    “フィードバックによる冷却と情報熱力学” 
    素粒子論研究・電子版 13 (2012). 

1.  伊藤 創祐, 佐野 雅己
    “フィードバック制御下でのHarada-Sasa等式とその制限” 
    物性研究 96, 181-182 (2011).