Persistent homology of quantum entanglement

Abstract

Structure in quantum entanglement entropy is often leveraged to focus on a small corner of the exponentially large Hilbert space and efficiently parameterize the problem of finding ground states. A typical example is the use of matrix product states for local and gapped Hamiltonians. We study the structure of entanglement entropy using persistent homology, a relatively new method from the field of topological data analysis. The inverse quantum mutual information between pairs of sites is used as a distance metric to form a filtered simplicial complex. Both ground states and excited states of common spin models are analyzed as an example. Furthermore, the effect of homology with different coefficients and boundary conditions is also explored. Beyond these basic examples, we also discuss the promising future applications of this modern computational approach, including its connection to the question of how spacetime could emerge from entanglement.

arXiv comment14 pages, 12 figures

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• Topological data analysis and machine learning
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• Entanglement blossom in a simplex matryoshka
• Topological Data Analysis of Monopole Current Networks in $U(1)$ Lattice Gauge Theory
• Topological data analysis of the deconfinement transition in SU(3) lattice gauge theory