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Dissipative Quantum Dynamics in Static Network with Different Topologies

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers Wei-Yang Liu and Hsuan-Wei Lee demonstrate how quantum network topology directly influences dissipative dynamics, using a spin model coupled to a thermal bath. Their findings reveal that tailored network structures can actively control quantum coherence. The study employs a Lindblad master equation to analyze small Ising spin networks, showing temperature emerges naturally from system-bath interactions. This approach quantifies how topology shapes coherence decay and population transfer. A novel mean-field method extends these insights to large-scale networks, linking macroscopic topology to quantum coherence. The work highlights sensitivity to structural variations in complex systems. Applications span beyond quantum physics, with implications for opinion dynamics, disease spread models, and biological systems. The framework bridges quantum mechanics and classical network theory. Published January 2026, the preprint suggests engineered quantum networks could optimize coherence for technologies like quantum computing and sensing. The work unifies dissipative dynamics across disciplines.
Dissipative Quantum Dynamics in Static Network with Different Topologies

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Quantum Physics arXiv:2601.15439 (quant-ph) [Submitted on 21 Jan 2026] Title:Dissipative Quantum Dynamics in Static Network with Different Topologies Authors:Wei-Yang Liu, Hsuan-Wei Lee View a PDF of the paper titled Dissipative Quantum Dynamics in Static Network with Different Topologies, by Wei-Yang Liu and 1 other authors View PDF HTML (experimental) Abstract:We investigate the dissipative dynamics of quantum population and coherence among different network topologies of a quantum network using a quantum spin model coupled to a thermal bosonic reservoir. Our study proceeds in two parts. First, we analyze a small network of Ising spins embedded in a large dissipative bath, modeled via the Lindblad master equation, where temperature arises naturally from system-bath coupling. This approach reveals how network topology shapes quantum dissipative dynamics, providing a basis for controlling quantum coherence through tailored network structures. Second, we propose a mean-field approach that extends the network to larger scales and captures dissipative dynamics in large-scale networks, connecting network topology to quantum coherence in complex systems and revealing the sensitivity of quantum coherence to network structure. Our results highlight how dissipative quantum dynamics depend on network topology, providing insight into the coherent dynamics of entangled states in networks. These results may be extended to dynamics in complex systems such as opinion propagation in social models, epidemiology, and various condensed-phase and biological systems. Comments: Subjects: Quantum Physics (quant-ph); Statistical Mechanics (cond-mat.stat-mech) Cite as: arXiv:2601.15439 [quant-ph] (or arXiv:2601.15439v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2601.15439 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Wei-Yang Liu [view email] [v1] Wed, 21 Jan 2026 20:08:07 UTC (4,711 KB) Full-text links: Access Paper: View a PDF of the paper titled Dissipative Quantum Dynamics in Static Network with Different Topologies, by Wei-Yang Liu and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-01 Change to browse by: cond-mat cond-mat.stat-mech 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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Source: arXiv Quantum Physics