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Matrix-product state skeletons in Onsager-integrable quantum chains

Abstract:

Matrix-product state (MPS) skeletons are connected networks of Hamiltonians with exact MPS ground states that underlie a phase diagram. Such skeletons have previously been found in classes of free-fermion models. For the translation-invariant BDI and AIII free-fermion classes, it has been shown that the underlying skeleton is dense, giving an analytic approach to MPS approximation of ground states anywhere in the class. In this paper, we partially expose the skeleton in certain interacting spin chains: the N-state Onsager-integrable chiral clock families. We construct MPS that form a dense MPS skeleton in the gapped regions surrounding a sequence of fixed-point Hamiltonians (the generators of the Onsager algebra). Outside these gapped regions, these MPS remain eigenstates, but no longer give the many-body ground state. Rather, they are ground states in particular sectors of the spectrum. Our methods also allow us to find further MPS eigenstates; these correspond to low-lying excited states within the aforementioned gapped regions. This set of MPS excited states goes beyond the previous analysis of ground states on the N = 2 free-fermion MPS skeleton. As an application of our results, we find a closed form for the disorder parameter in a family of interacting models. Finally, we remark that many of our results use only the Onsager algebra and are not specific to the chiral clock model representation.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s10955-026-03637-8

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Theoretical Physics
Role:
Author
ORCID:
0009-0009-7163-6923
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
St John's College
Role:
Author
ORCID:
0000-0002-0154-5358



Publisher:
Springer
Journal:
Journal of Statistical Physics More from this journal
Volume:
193
Issue:
6
Article number:
73
Publication date:
2026-06-15
Acceptance date:
2026-05-25
DOI:
EISSN:
1572-9613
ISSN:
0022-4715


Language:
English
Pubs id:
2433617
Local pid:
pubs:2433617
Deposit date:
2026-06-15
ARK identifier:

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