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Record W2325021689 · doi:10.4006/1.2990155

Quantum entanglement in noninertial frames.

2008· article· en· W2325021689 on OpenAlexvenueno aff
Robert B. Mann

Bibliographic record

VenuePhysics Essays · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum Mechanics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsQuantum entanglementUnruh effectQuantum mechanicsFermionMathematical physicsQuantum

Abstract

fetched live from OpenAlex

Quantum entanglement is foundational to quantum computation. Yet little is known about how this phenomenon is modified by gravitational effects. One place to begin this study is by consideration of observers in relative acceleration. Here I describe recent work exploring the relationship between quantum entanglement between states shared by such observers. Due to the Unruh effect, the entanglement is degraded and asymptotically reaches a minimum value in the infinite acceleration limit. For bosons this value is zero, but for fermions it is nonzero, in which case quantum information tasks such as teleportation between parties in relative uniform acceleration can always be performed. I discuss the implications of these results for observers in gravitational fields. © 2008 Physics Essay Publications. DOI: XXXX Resume: L’enchevetrement quantique est fondamentale pour le calcul quantique. Pourtant tres peu est connu a propos de comment ce phenomene est modifie par les effets gravitationnels. Une maniere d’entamer cette etude est de considerer des observateurs en acceleration relative. Ici je decris des travaux recents qui explore les relations entre enchevetrement quantique d’etats partages par de tels observateurs. A cause de l’effet dit de Unruh, cet enchevetrement est degrade et atteint asymptotiquement une valeur minimum dans la limite d’une acceleration infinie. Pour les bosons cette valeur est nulle, alors que pour des fermions cette valeur est non zero. Dans ce cas, les operations d’informations quantiques tel que la teleportation entre differentes parties en acceleration relatives peuvent toujours etre etre implementees. Je discusse les implications de ces resultats pour des observateurs dans un champ gravitationel.

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 score0.300
Threshold uncertainty score0.540

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 head0.021
GPT teacher head0.256
Teacher spread0.235 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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