A Sparse Model of Quantum Holography
Shenglong Xu, Leonard Susskind, Yuan Su, Brian Swingle

TL;DR
This paper introduces a sparse version of the SYK model on hypergraphs, which retains key holographic and chaotic properties while enabling more efficient numerical and quantum simulations, opening new avenues in quantum gravity research.
Contribution
The paper develops a sparse SYK model on hypergraphs that preserves the physics of the original model and significantly reduces computational complexity.
Findings
Sparse SYK exhibits maximal chaos at low temperatures.
Numerical results align with path integral predictions.
Sparsity reduces quantum simulation costs.
Abstract
We study a sparse version of the Sachdev-Ye-Kitaev (SYK) model defined on random hypergraphs constructed either by a random pruning procedure or by randomly sampling regular hypergraphs. The resulting model has a new parameter, , defined as the ratio of the number of terms in the Hamiltonian to the number of degrees of freedom, with the sparse limit corresponding to the thermodynamic limit at fixed . We argue that this sparse SYK model recovers the interesting global physics of ordinary SYK even when is of order unity. In particular, at low temperature the model exhibits a gravitational sector which is maximally chaotic. Our argument proceeds by constructing a path integral for the sparse model which reproduces the conventional SYK path integral plus gapped fluctuations. The sparsity of the model permits larger scale numerical calculations than previously possible, the results…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum many-body systems · Black Holes and Theoretical Physics · Particle physics theoretical and experimental studies
