Statistical mechanics is a research area in physics that aims to clarify the characteristic behavior of macroscopic systems comprising many microscopic elements. Familiar examples of target phenomena include “water freezing” and “iron magnetization.” Perhaps surprisingly, recent studies have revealed that statistical mechanics, which has been developed via the analysis of natural phenomena, can also serve as a foundational theory for developing fundamental methods of information science such as data compression, error correction, and information extraction.  In addition, by addressing new problems in information science provides new horizons that could not have been studied by only focusing on natural phenomena. Our group is attempting to further develop a new research field that lies between theoretical physics and information science. 


Copyright© Kabashima Laboratory , 2024 All Rights Reserved Powered by STINGER.