Anisotropic Rabi Model as a Noise Biased Qubit
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Quantum Physics arXiv:2606.04487 (quant-ph) [Submitted on 3 Jun 2026] Title:Anisotropic Rabi Model as a Noise Biased Qubit Authors:Jia-Wen Yu, Ke-Xiong Yan, Yuan Qiu, Yiming Yu, Yexiong Zeng, Adam Miranowicz, Zhi-Cheng Shi, Ye-Hong Chen, Yan Xia, Franco Nori View a PDF of the paper titled Anisotropic Rabi Model as a Noise Biased Qubit, by Jia-Wen Yu and 9 other authors View PDF HTML (experimental) Abstract:We present the quantum anisotropic Rabi model as a potential resource for a noise biased qubit. The system-environment coupling can be biased by tuning the relative strengths of the rotating-wave and counter-rotating-wave interactions, characterized by the anisotropy parameter $\eta$. This anisotropy selectively suppresses dominant decoherence pathways, thereby enabling the construction of a protected logical qubit in the ultrastrong and deep-strong coupling regimes. The logical states (formed by the ground and first excited states of the anisotropic Rabi model) possess coherence times that are enhanced compared to the isotropic case. Moreover, we construct a set of universal gate operations within the logical-state subspace and demonstrate that the gate operations associated with different values of $\eta$ exhibit robustness against external noise. These findings are expected to inspire applications and research directions for the anisotropic Rabi model with promising potential impacts. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2606.04487 [quant-ph] (or arXiv:2606.04487v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2606.04487 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Ye-Hong Chen Dr. [view email] [v1] Wed, 3 Jun 2026 06:13:48 UTC (686 KB) Full-text links: Access Paper: View a PDF of the paper titled Anisotropic Rabi Model as a Noise Biased Qubit, by Jia-Wen Yu and 9 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-06 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?)