# Information Theory SG Seminar

## Introduction to the replica method

June 23 at 13:30 - 15:40, 2021

Prof. Yoshiyuki Kabashima (Professor, Graduate School of Science, The University of Tokyo)

The replica method is a mathematical technique for evaluating the "quenched" average of logarithm (or a real number power) of the partition function with respect to predetermined random variables that...more

Venue: via Zoom

Event Official Language: English

## Journal Club: Intrinsically Disordered Region (IDR)

May 19 at 13:00 - 14:00, 2021

Dr. Kyosuke Adachi (Special Postdoctoral Researcher, iTHEMS / Special Postdoctoral Researcher, Nonequilibrium Physics of Living Matter RIKEN Hakubi Research Team, RIKEN Center for Biosystems Dynamics Research)

A class of protein domain, which is called intrinsically disordered region (IDR), is known to take no rigid three dimensional structure. Recent studies have shown that IDRs can show biological functio...more

Venue: via Zoom

Event Official Language: English

## Thermodynamic Uncertainty Relation Connects Physics, Information Science, and Biology

April 28 at 13:30 - 16:00, 2021

Prof. Yoshihiko Hasegawa (Associate Professor, Department of Information and Communication Engineering, The University of Tokyo)

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...more

Venue: via Zoom

Event Official Language: English

## Journal Club: Trace inequalities and their applications

April 14 at 14:30 - 15:30, 2021

Dr. Yukimi Goto (Special Postdoctoral Researcher, iTHEMS)

In this talk, I will explain trace inequalities and related topics. Mainly, I focus on results concerning quantum entropy. This talk is an elementary introduction to that subjects. *Detailed inform...more

Venue: via Zoom

Event Official Language: English

## Journal Club: Reinforcement Learning

March 24 at 13:00 - 14:00, 2021

Dr. Akinori Tanaka (Senior Research Scientist, iTHEMS)

Reinforcement Learning (RL) is a scheme of Machine Learning that is applicable "without training data." Instead, we prepare a "world" that agents (learners) can probe, and try to optimize their behavi...more

Venue: via Zoom

Event Official Language: English

## Journal Club: Large deviation statistics of Markovian quantum systems

February 17 at 13:00 - 14:30, 2021

Dr. Ryusuke Hamazaki (Senior Research Scientist, iTHEMS / RIKEN Hakubi Team Leader, Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team, RIKEN Cluster for Pioneering Research)

Large deviation is a mathematical framework to treat “rare events” in random processes [1]. In this journal club, I talk about recent development of large deviation analysis in open Markovian quantum ...more

Venue: via Zoom

Event Official Language: English

## Journal Club: Sampling the stable structures based on replica-permutation method

January 27 at 13:00 - 14:30, 2021

Dr. Hiroshi Yokota (Postdoctoral Researcher, iTHEMS)

When we want to search the (meta)stable structures of the macromolecules such as protein, the combination of molecular dynamics simulation and replica exchange method (REM) is useful. In REM, sampling...more

Event Official Language: English

## Information theory in ecology: Markov chain, Venn diagram, Kronecker (and Cartesian graph) products, and Tsallis entropy

January 20 at 13:00 - 14:00, 2021

Dr. Ryosuke Iritani (Research Scientist, iTHEMS)

This is more like an introductory talk on how I was motivated to work with information theory, and include unpublished data. Ecologists have been long interested in understanding diversity (diverge...more

Venue: via Zoom

Event Official Language: English

## Accelerated equilibration in classical stochastic systems

January 13 at 13:00 - 14:00, 2021

Dr. Kyosuke Adachi (Special Postdoctoral Researcher, iTHEMS / Special Postdoctoral Researcher, Nonequilibrium Physics of Living Matter RIKEN Hakubi Research Team, RIKEN Center for Biosystems Dynamics Research)

Shortcuts to adiabaticity (STA) [1] are processes that make a given quantum state evolve into a target state in a fast manner, which can be useful to avoid decoherence in quantum experiments. In this ...more

Venue: via Zoom

Event Official Language: English

## Review on the Lieb-Robinson bound

December 23 at 13:00 - 14:00, 2020

Dr. Yukimi Goto (Special Postdoctoral Researcher, iTHEMS)

The Lieb-Robinson bound is inequality on the group velocity of information propagation for quantum many-body systems. In this talk, I review this bound mathematically and explain some consequences of ...more

Event Official Language: English

## Quantum Wasserstein distance of order 1

December 16 at 13:00 - 14:30, 2020

Dr. Ryusuke Hamazaki (Senior Research Scientist, iTHEMS / RIKEN Hakubi Team Leader, Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team, RIKEN Cluster for Pioneering Research)

The Wasserstein distance is an indicator for the closeness of two probability distributions and is applied to various fields ranging from information theory to neural networks [1]. It is particularly ...more

Venue: via Zoom

Event Official Language: English

## Statistical model for meaning representation of language

December 16 at 10:30 - 12:00, 2020

Dr. Koichiro Yoshino (Team Leader, Robotics Project, RIKEN Cluster for Science, Technology and Innovation Hub, RIKEN)

One of the final goals of natural language processing is building a model to capture the semantic meaning of language elements. Language modeling is a recent research trend to build a statistical mode...more

Venue: via Zoom

Event Official Language: English

## Journal club of Information Theory SG II

December 8 at 13:00 - 14:00, 2020

Dr. Akinori Tanaka (Senior Research Scientist, iTHEMS)

The practical updating process of deep neural networks based on stochastic gradient descent is quite similar to stochastic dynamics described by Langevin equation. Under the Langevin system, we can "d...more

Venue: via Zoom

Event Official Language: English

## Journal club of Information Theory SG

December 1 at 13:00 - 14:00, 2020

Dr. Akinori Tanaka (Senior Research Scientist, iTHEMS)

The practical updating process of deep neural networks based on stochastic gradient descent is quite similar to stochastic dynamics described by Langevin equation. Under the Langevin system, we can "d...more

Venue: via Zoom

Event Official Language: English