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Kicked-Ising Quantum Battery

Sebasti\'an V. Romero, Xi Chen, Yue Ban
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⚡ Quantum Brief
Researchers introduced a quantum battery model using the kicked-Ising framework, leveraging spin chains for superior charging performance. The study provides exact analytical solutions for energy injection, valid across all system sizes and Floquet cycles. The battery achieves maximal charging efficiency while resisting disorder, a critical advantage over classical systems. Boundary conditions and spin-chain parity significantly influence performance, as revealed through Clifford automata and Floquet analysis. An intensified protocol enables faster energy injection within fixed time windows, with non-uniform kick schedules improving experimental adaptability. Low-frequency driving enhances charging by linking it to quantum scrambling and delocalization. Tensor-network simulations validated the theory, which was further tested on IBM quantum hardware. The model accounts for platform constraints, demonstrating scalability and resilience in real-world quantum systems. This work establishes a disorder-tolerant quantum battery as a benchmark for evaluating quantum platforms, bridging theory with experimental implementation.
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Quantum Physics arXiv:2511.17835 (quant-ph) [Submitted on 21 Nov 2025] Title:Kicked-Ising Quantum Battery Authors:Sebastián V. Romero, Xi Chen, Yue Ban View a PDF of the paper titled Kicked-Ising Quantum Battery, by Sebasti\'an V. Romero and 2 other authors View PDF HTML (experimental) Abstract:Quantum batteries (QBs) have emerged as promising candidates capable of outperforming classical counterparts by utilizing entangled operators. Spin chains, in particular, exhibit unique {charging} properties across diverse settings. Here, we introduce the kicked-Ising model as a QB and analytically characterize its charging dynamics within the self-dual operator regime, valid for arbitrary system sizes and Floquet cycles. Using Clifford quantum cellular automata and momentum-space Floquet analysis with the Cayley-Hamilton theorem, we obtain exact expressions for energy injection, uncovering the influence of boundary conditions and spin-chain parity on charging performance. The kicked-Ising QB achieves maximal charging while exhibiting remarkable robustness against disorder. We further propose an intensified protocol within a fixed time window that enables faster and more efficient energy injection, while non-uniform kick schedules enhance experimental flexibility. Spin correlators analysis further shows that low-frequency driving boosts energy injection, highlighting a clear connection between charging, scrambling, and kick-induced delocalization. Our theoretical framework are supported by tensor-network simulations and finally verified on IBM quantum hardware. Accounting for platform-specific constraints, we demonstrate that the kicked-Ising QB offers a scalable, disorder-resilient protocol and testbed to assess quantum platforms. Comments: Subjects: Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech); Chaotic Dynamics (nlin.CD) Cite as: arXiv:2511.17835 [quant-ph] (or arXiv:2511.17835v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2511.17835 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Sebastián V. Romero [view email] [v1] Fri, 21 Nov 2025 23:08:54 UTC (1,786 KB) Full-text links: Access Paper: View a PDF of the paper titled Kicked-Ising Quantum Battery, by Sebasti\'an V. Romero and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-11 Change to browse by: cond-mat cond-mat.stat-mech nlin nlin.CD 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?) Links to Code Toggle Papers with Code (What is Papers with Code?) 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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