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Entanglement Entropy of Free Fermions on Random Fractal Lattices

Arkadiusz Kosior, Jia Wang
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⚡ Quantum Brief
Researchers Arkadiusz Kosior and Jia Wang demonstrated that geometric randomness alone can produce nontrivial entanglement in free-fermion systems by studying random fractal lattices. Using a stochastic growth algorithm, they tuned Hausdorff and spectral dimensions without onsite disorder. Their analysis revealed robust power-law scaling of bipartite entanglement entropy with subsystem size, governed by the Hausdorff dimension, consistent with a generalized area law. Post-quench dynamics showed logarithmically slow entanglement growth, with subsystem-size dependence tied to Hausdorff dimension and temporal evolution to spectral dimension.
Why it matters

This work establishes geometric disorder as a standalone driver of complex entanglement structures, offering a new framework for studying quantum correlations in non-Euclidean systems and potentially informing designs for quantum information architectures.

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Quantum Physics arXiv:2607.05611 (quant-ph) [Submitted on 6 Jul 2026] Title:Entanglement Entropy of Free Fermions on Random Fractal Lattices Authors:Arkadiusz Kosior, Jia Wang View a PDF of the paper titled Entanglement Entropy of Free Fermions on Random Fractal Lattices, by Arkadiusz Kosior and Jia Wang View PDF HTML (experimental) Abstract:Random fractal lattices provide a geometrically disordered setting in which quantum correlations can be shaped by noninteger dimensionality rather than onsite randomness. We investigate the entanglement properties of noninteracting fermions on random fractal lattices generated by a stochastic growth algorithm. By varying the growth parameter and adding missing links with probability $p$, we tune the Hausdorff and spectral dimensions while keeping the system free of onsite disorder. For ground states at different fillings, we compute the bipartite entanglement entropy of subregions defined by graph distance and analyze its scaling with subsystem size. Over a broad parameter range, we find robust power-law behavior governed primarily by the Hausdorff dimension, consistent with a generalized area law and without the logarithmic enhancement familiar from Euclidean free fermions. We also study entanglement growth following a global quench from an uncorrelated checkerboard state and uncover an asymptotic scaling collapse in which the subsystem-size dependence is governed by the Hausdorff dimension, while the temporal evolution is governed by the spectral dimension. The resulting dynamics are logarithmically slow over an extended intermediate-time window. These results show that geometric randomness alone can generate both nontrivial ground-state entanglement structure and slow quantum-information spreading in free-fermion systems. Comments: Subjects: Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn); Quantum Gases (cond-mat.quant-gas); Strongly Correlated Electrons (cond-mat.str-el) Cite as: arXiv:2607.05611 [quant-ph] (or arXiv:2607.05611v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2607.05611 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Arkadiusz Kosior [view email] [v1] Mon, 6 Jul 2026 20:15:39 UTC (3,223 KB) Full-text links: Access Paper: View a PDF of the paper titled Entanglement Entropy of Free Fermions on Random Fractal Lattices, by Arkadiusz Kosior and Jia WangView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-07 Change to browse by: cond-mat cond-mat.dis-nn cond-mat.quant-gas cond-mat.str-el References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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