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Quantum Gravity and Random Tensors

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it
abstract

Random tensors are the natural generalization of random matrices to higher order objects. They provide generating functions for random geometries and, assuming some familiarity with random matrix theory and quantum field theory, we discuss in the first part of this note the applications of such models to quantum gravity. In a second part we review tensor field theories, that is standard field theories in $\mathbb{R}^d$ but with tensor fields, which lead to a new family of large $N$ conformal field theories relevant for the study of the $AdS/CFT$ correspondence.

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years

2026 2 2025 1

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representative citing papers

Induced quantum gravity from QFT vector models

gr-qc · 2025-07-22 · unverdicted · novelty 2.0

Reviews basic definitions and properties of QFT vector models for induced quantum gravity and points out directions for future research.

Quantum chaotic systems: a random-matrix approach

quant-ph · 2026-04-13 · unverdicted · novelty 0.0

Review of random matrix theory application to quantum chaos, covering symmetry classes, eigenvalue statistics, unfolding, and correlation functions.

citing papers explorer

Showing 3 of 3 citing papers.

  • Twofold universality of large-$N$ melonic random tensors math.CO · 2026-07-09 · conditional · none · ref 11 · internal anchor

    Large-N melonic tensor integrals are universal: they depend only on vertex counts, not on tensor rank D≥3 or the fine-grained combinatorics of the melonic invariants.

  • Induced quantum gravity from QFT vector models gr-qc · 2025-07-22 · unverdicted · none · ref 3

    Reviews basic definitions and properties of QFT vector models for induced quantum gravity and points out directions for future research.

  • Quantum chaotic systems: a random-matrix approach quant-ph · 2026-04-13 · unverdicted · none · ref 43

    Review of random matrix theory application to quantum chaos, covering symmetry classes, eigenvalue statistics, unfolding, and correlation functions.