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Record W3106722198 · doi:10.1103/prxquantum.2.030313

Entanglement Negativity at Measurement-Induced Criticality

2021· article· en· W3106722198 on OpenAlexafffund

Bibliographic record

VenuePRX Quantum · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum many-body systems
Canadian institutionsPerimeter InstituteUniversity of Waterloo
FundersCalifornia NanoSystems InstituteKavli Institute for Theoretical Physics, University of California, Santa BarbaraDivision of Materials ResearchMaterials Research Science and Engineering Center, Harvard UniversityGovernment of CanadaMinistry of Colleges and UniversitiesUniversity of California, Santa BarbaraChina Scholarship CouncilGordon and Betty Moore FoundationHeising-Simons FoundationSimons FoundationNational Science FoundationCompute CanadaNatural Sciences and Engineering Research Council of CanadaInstitut Périmètre de physique théoriqueInnovation, Science and Economic Development Canada
KeywordsQuantum entanglementMultipartite entanglementVariety (cybernetics)CriticalityConsistency (knowledge bases)MultipartitePhase (matter)

Abstract

fetched live from OpenAlex

Universal multipartite entanglement is studied for a variety of measurement induced phase transitions, exact results are presented in a special case, and remarkable consistency is found in several different models away from this limit.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.005
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.281
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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

Citations100
Published2021
Admission routes2
Has abstractyes

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