# Information Theory Study Group

## Large deviation statistics of Markovian quantum systems

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

Dr. Ryusuke Hamazaki (Senior Research Scientist, iTHEMS)

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

## 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This is more like an introductory talk on how I was motivated to work with information theory, and include unpublished data.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)

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)

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