Multiparameter Persistent Homology-Generic Structures and Quantum Computing
Amelie Schreiber

TL;DR
This paper applies commutative algebra to analyze multiparameter persistent homology, exploring generic structures of resolutions, with computational tools, and discusses potential applications in quantum computing and data science.
Contribution
It introduces a theoretical framework connecting commutative algebra with multiparameter persistent homology, including explicit computations and applications to quantum systems.
Findings
Explicit computations using Macaulay2
Characterization of generic structures of resolutions
Potential applications in quantum computing and data analysis
Abstract
The following article is an application of commutative algebra to the study of multiparameter persistent homology in topological data analysis. In particular, the theory of finite free resolutions of modules over polynomial rings is applied to multiparameter persistent modules. The generic structure of such resolutions and the classifying spaces involved are studied using results spanning several decades of research in commutative algebra, beginning with the study of generic structural properties of free resolutions popularized by Buchsbaum and Eisenbud. Many explicit computations are presented using the computer algebra package Macaulay2, along with the code used for computations. This paper serves as a collection of theoretical results from commutative algebra which will be necessary as a foundation in the future use of computational methods using Gr\"obner bases, standard monomial…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Commutative Algebra and Its Applications · Homotopy and Cohomology in Algebraic Topology
