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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Competing informational and dynamical criteria for subsystem structure

Authors: Maruko, Yoshifumi;

Competing informational and dynamical criteria for subsystem structure

Abstract

We study subsystem-structure selection in small interacting quantum systems. We compare two criteria: (i) maximization of cross-boundary correlations and (ii) minimization of dynamical coupling across subsystem boundaries. Using exact diagonalization of asymmetric spin chains, we show that these criteria can favor different tensor factorizations of Hilbert space. We derive the crossover parameter λ* at which the preferred factorization switches. The existence of this regime demonstrates that subsystem structure need not be uniquely determined by dynamical stability alone. This paper is part of the Relational Emergence Model (REM) series (REM4 of 5).

Keywords

variational principle, subsystem structure, tensor product factorization, quantum information, REM, Relational Emergence Model, decoherence, relational quantum mechanics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average