Quick Navigation

Topics

Quantum Simulation

Operator growth bounds in a cartoon matrix model

arXiv
Authors: Andrew Lucas, Andrew Osborne

Year

2020

Paper ID

22238

Status

Preprint

Abstract Read

~2 min

Abstract Words

122

Citations

N/A

Abstract

We study operator growth in a model of N(N-1)/2 interacting Majorana fermions, which live on the edges of a complete graph of N vertices. Terms in the Hamiltonian are proportional to the product of q fermions which live on the edges of cycles of length q. This model is a cartoon "matrix model": the interaction graph mimics that of a single-trace matrix model, which can be holographically dual to quantum gravity. We prove (non-perturbatively in 1/N, and without averaging over any ensemble) that the scrambling time of this model is at least of order log N, consistent with the fast scrambling conjecture. We comment on apparent similarities and differences between operator growth in our "matrix model" and in the melonic models.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2020 reference point for readers tracking recent quantum research.
  • We study operator growth in a model of N(N-1)/2 interacting Majorana fermions, which live on the edges of a complete graph of N vertices.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #22238 #69041 Multi-modes Bessel-Gaussian-Orb... #69040 Collective Emission in LH2 Asse... #69038 Physically Constrained Ensemble... #69034 Hardware-aware Low-latency Quan...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.