Conformal four-point correlators of the three-dimensional Ising transition via the quantum fuzzy sphere
Bibliographic record
Abstract
In conformal field theory (CFT), the four-point correlator is a fundamental object that encodes CFT properties, constrains CFT structures, and connects to the gravitational scattering amplitude in holography theory. However, the four-point correlator of CFTs in dimensions higher than two-dimensional remains largely unexplored due to the lack of nonperturbative tools. In this paper, we introduce a new approach for directly computing four-point correlators of three-dimensional (3D) CFTs. Our method employs the recently proposed fuzzy (noncommutative) sphere regularization, and we apply it to the paradigmatic 3D Ising CFT. Specifically, we have computed three different four-point correlators: $\ensuremath{\langle}\ensuremath{\sigma}\ensuremath{\sigma}\ensuremath{\sigma}\ensuremath{\sigma}\ensuremath{\rangle}, \ensuremath{\langle}\ensuremath{\sigma}\ensuremath{\sigma}\ensuremath{\epsilon}\ensuremath{\epsilon}\ensuremath{\rangle}$, and $\ensuremath{\langle}\ensuremath{\sigma}\ensuremath{\sigma}{T}_{\ensuremath{\mu}\ensuremath{\nu}}{T}_{\ensuremath{\rho}\ensuremath{\eta}}\ensuremath{\rangle}$. Additionally, we verify the crossing symmetry of $\ensuremath{\langle}\ensuremath{\sigma}\ensuremath{\sigma}\ensuremath{\sigma}\ensuremath{\sigma}\ensuremath{\rangle}$, which is a notable property arising from conformal symmetry. Remarkably, the computed four-point correlators exhibit continuous crossing ratios, showcasing the continuum nature of the fuzzy sphere regularization scheme. This characteristic renders them highly suitable for future theoretical applications, enabling further advancements and insights in 3D CFT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".