Thermodynamic Uncertainty Relation Connects Physics, Information Science, and Biology
 Date
 April 28 (Wed) at 13:30  16:00, 2021 (JST)
 Speaker

 Yoshihiko Hasegawa (Associate Professor, Department of Information and Communication Engineering, The University of Tokyo)
 Venue
 via Zoom
 Language
 English
Higher precision demands more resources. Although this fact is widely accepted, it has only recently been theoretically proved. The thermodynamic uncertainty relation serves as a theoretical basis for this notion, and it states that current fluctuations are bounded from below by thermodynamic costs, such as entropy production and dynamical activity. In this seminar, I show a strong connection between the thermodynamic uncertainty relation and information theory by deriving it through information inequality known as a CramérRao bound, which provides the error bound for any statistical estimator. Moreover, by using a quantum CramérRao bound, I derive a quantum extension of thermodynamic uncertainty relation, which holds for general open quantum systems. The thermodynamic uncertainty relation predicts the fundamental limit of biomolecular processes, and thus it can be applied to infer the entropy production, corresponding to the consumption of adenosine triphosphate, of biological systems in the absence of detailed knowledge about them.
*Detailed information about the seminar refer to the email.