Quick Navigation
Topics
Quantum Algorithms
Fast Scrambling at the Boundary
arXiv
Authors: Ancel Larzul, Anirvan M. Sengupta, Antoine Georges, Marco Schirò
Year
2024
Paper ID
65234
Status
Preprint
Abstract Read
~2 min
Abstract Words
184
Citations
N/A
Abstract
Many-body systems which saturate the quantum bound on chaos are attracting interest across a wide range of fields. Notable examples include the Sachdev-Ye-Kitaev model and its variations, all characterised by some form or randomness and all to all couplings. Here we study many-body quantum chaos in a quantum impurity model showing Non-Fermi-Liquid physics, the overscreened multichannel SU(N) Kondo model. We compute exactly the low-temperature behavior of the out-of time order correlator in the limit of large N and large number of channels K, at fixed ratio γ=K/N. Due to strong correlations at the impurity site the spin fractionalizes in auxiliary fermions and bosons. We show that all the degrees of freedom of our theory acquire a Lyapunov exponent which is linear in temperature as T→ 0, with a prefactor that depends on γ. Remarkably, for N=K the impurity spin displays maximal chaos, while bosons and fermions only get up to half of the maximal Lyapunov exponent. Our results highlights two new features: a non-disordered model which is maximally chaotic due to strong correlations at its boundary and a fractionalization of quantum chaos.
Why This Paper Matters
- It adds a 2024 reference point for readers tracking recent quantum research.
- Many-body systems which saturate the quantum bound on chaos are attracting interest across a wide range of fields.
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
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
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.