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Collective dynamics versus entanglement in quantum battery performance

Rohit Kumar Shukla, Sunil K. Mishra, Ujjwal Sen
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⚡ Quantum Brief
Researchers from India’s quantum physics community analyzed quantum battery performance, revealing that peak charging power occurs before strong quantum entanglement forms. Their January 2026 study shows coherent transport—not entanglement—drives initial energy storage efficiency. The team compared energy dynamics with multipartite correlation measures, finding instantaneous power spikes precede quantum correlation buildup. This challenges assumptions that entanglement directly enhances charging speed, instead highlighting coherent collective dynamics as the primary driver. Testing k-local interaction protocols under fair and unconstrained conditions, they found higher interaction orders don’t guarantee better performance. Effective charging depends on how many particles achieve mutual correlation, not just interaction complexity. Fully collective interactions outperformed partial schemes by ensuring all particles contribute coherently. Partial extensions failed to consistently increase active particle participation, limiting efficiency gains despite theoretical interaction scaling. The work clarifies that quantum advantage in batteries stems from coherent participation, not just interaction range or entanglement depth, offering a framework to distinguish classical scaling from genuine quantum enhancements.
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Quantum Physics arXiv:2601.03119 (quant-ph) [Submitted on 6 Jan 2026] Title:Collective dynamics versus entanglement in quantum battery performance Authors:Rohit Kumar Shukla, Sunil K. Mishra, Ujjwal Sen View a PDF of the paper titled Collective dynamics versus entanglement in quantum battery performance, by Rohit Kumar Shukla and 2 other authors View PDF HTML (experimental) Abstract:Identifying the physical origin of enhanced charging performance in many-body quantum batteries is a key challenge in quantum thermodynamics. We investigate whether improvements in stored energy and instantaneous charging power arise from genuine quantum correlations or from coherent collective dynamics that are not intrinsically quantum. We compare the time evolution of energetic quantities with a hierarchy of information-theoretic measures probing bipartite, tripartite, and further-partite correlations. Across different battery charger configurations, we find a consistent temporal ordering in which the instantaneous power peaks before the buildup of strong quantum correlations, indicating that peak charging is dominated by coherent transport, while entanglement and scrambling develop at later times. Furthermore, charging protocols based on k local interactions are examined under both unconstrained and norm-constrained (fair) settings, enabling a clear distinction between classical scaling effects and genuine collective enhancements. Increasing the interaction order or the participation number does not automatically translate into higher charging power. Instead, the performance is primarily dictated by how many particles actually become mutually correlated and contribute to entanglement. Fully collective interactions provide a genuine advantage because all particles participate coherently, whereas partially extended interaction schemes fail to monotonically increase the number of effectively interacting particles, and therefore do not guarantee improved charging efficiency. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2601.03119 [quant-ph] (or arXiv:2601.03119v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2601.03119 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Rohit Kumar Shukla [view email] [v1] Tue, 6 Jan 2026 15:48:24 UTC (1,664 KB) Full-text links: Access Paper: View a PDF of the paper titled Collective dynamics versus entanglement in quantum battery performance, by Rohit Kumar Shukla and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-01 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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