Quantum algorithm for persistent Betti numbers and topological data analysis

Topological data analysis (TDA) is an emergent field of data analysis. The critical step of TDA is computing the persistent Betti numbers. Existing classical algorithms for TDA are limited if we want to learn from high-dimensional topological features because the number of high-dimensional simplices...

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Bibliographic Details
Main Author: Ryu Hayakawa
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2022-12-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2022-12-07-873/pdf/