Quick Navigation
Topics
Quantum Algorithms
Perturbative Renormalization and Universality Diagram for Long-Range Quantum Criticality
arXiv
Authors: Zhiyi Li, Zhijie Fan, Kun Chen, Youjin Deng
Year
2026
Paper ID
69896
Status
Preprint
Abstract Read
~2 min
Abstract Words
166
Citations
N/A
Abstract
Experimental progress in quantum simulators highlights the role of long-range (LR) interactions in reshaping quantum criticality and stabilizing exotic phases beyond the short-range (SR) paradigm. We study ferromagnetic long-range quantum O(n) models with interactions decaying as 1/rd+σ and develop a perturbative renormalization-group expansion around the LR--SR boundary by setting d=3-ε and σ=2-δ. In this parametrization, the full interacting LR window 2d/3<σ<2 becomes 0<δ<2ε/3, and is therefore perturbatively controlled. A two-loop calculation yields explicit expressions, in terms of ε, δ, and n, for the correlation-length exponent ν and for the frequency and momentum anomalous dimensions η_ω and ηk. The resulting exponents reduce to long-range Gaussian scaling at σ=2d/3 and to SR quantum Wilson-Fisher scaling in the σ→ 2 limit, thereby identifying σ_*=2 as the LR--SR boundary within the controlled 3-ε expansion. Combining the RG results with scaling boundaries and classical LR analogies, we propose a (d,σ) universality diagram for ferromagnetic long-range quantum O(n) criticality and use it as an organizing framework for the phase diagram of long-range quantum spin chains.
Why This Paper Matters
- It adds a 2026 reference point for readers tracking recent quantum research.
- Experimental progress in quantum simulators highlights the role of long-range (LR) interactions in reshaping quantum criticality and stabilizing exotic phases beyond the...
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.