Special Session 122: Topological Data Analysis Theory, Algorithms, and Applications

Quantum computing and persistence in topological data analysis
Ryu Hayakawa
Kyoto University
Japan
Co-Author(s):    Ryu Hayakawa
Abstract:
It has been recently revealed that surprising connections exist between topological data analysis and quantum computing. In this talk, I will show a quantum algorithm for estimating persistent Betti numbers, which is a central quantity in TDA. Moreover, I will show a complexity theoretic evidence that quantum computing exponentially outperforms classical computing for certain problems in TDA.