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Record W2081449709 · doi:10.1063/1.4748527

Ground-state spaces of frustration-free Hamiltonians

2012· article· en· W2081449709 on OpenAlexaff
Jianxin Chen, Zhengfeng Ji, David W. Kribs, Zhaohui Wei, Bei Zeng

Bibliographic record

VenueJournal of Mathematical Physics · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum many-body systems
Canadian institutionsUniversity of GuelphUniversity of Waterloo
FundersNational Science Foundation
KeywordsFrustrationSemilatticeGround stateRegular polygonSpace (punctuation)PhysicsMathematicsJoin (topology)CombinatoricsPure mathematicsQuantum mechanicsCondensed matter physicsGeometryComputer science

Abstract

fetched live from OpenAlex

We study the ground-state space properties for frustration-free Hamiltonians. We introduce a concept of “reduced spaces” to characterize local structures of ground-state spaces. For a many-body system, we characterize mathematical structures for the set Θk of all the k-particle reduced spaces, which with a binary operation called join forms a semilattice that can be interpreted as an abstract convex structure. The smallest nonzero elements in Θk, called atoms, are analogs of extreme points. We study the properties of atoms in Θk and discuss its relationship with ground states of k-local frustration-free Hamiltonians. For spin-1/2 systems, we show that all the atoms in Θ2 are unique ground states of some 2-local frustration-free Hamiltonians. Moreover, we show that the elements in Θk may not be the join of atoms, indicating a richer structure for Θk beyond the convex structure. Our study of Θk deepens the understanding of ground-state space properties for frustration-free Hamiltonians, from the new perspective of reduced spaces.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.262
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2012
Admission routes1
Has abstractyes

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