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Distributed Quantum Error Mitigation: Global and Local ZNE encodings

arXiv Quantum Physics
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⚡ Quantum Brief
A February 2026 study examines error mitigation in distributed quantum computing, where network noise compounds existing quantum processor errors. Zero Noise Extrapolation (ZNE), effective in standalone systems, faces uncharted challenges in distributed architectures. Researchers compared two ZNE approaches: Global (applied before circuit partitioning) and Local (applied to individual sub-circuits post-partitioning). Global ZNE outperformed Local, reducing errors by up to 48% across six quantum processing units (QPUs). Counterintuitively, increasing QPUs improved mitigation effectiveness despite added communication noise. This defies expectations that more nodes would degrade performance due to higher overhead. The study used teleportation-based communication primitives to simulate distributed circuits, testing heterogeneous noise conditions. Findings reveal critical trade-offs between circuit partitioning, noise distribution, and mitigation strategies. Results underscore the need to rethink distributed quantum error mitigation, highlighting unexplored interactions between circuit structure, partitioning methods, and network-induced noise.
Distributed Quantum Error Mitigation: Global and Local ZNE encodings

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Quantum Physics arXiv:2602.04981 (quant-ph) [Submitted on 4 Feb 2026] Title:Distributed Quantum Error Mitigation: Global and Local ZNE encodings Authors:Maria Gragera Garces View a PDF of the paper titled Distributed Quantum Error Mitigation: Global and Local ZNE encodings, by Maria Gragera Garces View PDF HTML (experimental) Abstract:Errors are the primary bottleneck preventing practical quantum computing. This challenge is exacerbated in the distributed quantum computing regime, where quantum networks introduce additional communication-induced noise. While error mitigation techniques such as Zero Noise Extrapolation (ZNE) have proven effective for standalone quantum processors, their behavior in distributed architectures is not yet well understood. We investigate ZNE in this setting by comparing Global optimization (ZNE is applied prior to circuit partitioning), against Local optimization (ZNE is applied independently to each sub-circuit). Partitioning is performed on a monolithic circuit, which is then transformed into a distributed implementation by inserting noisy teleportation-based communication primitives between sub-circuits. We evaluate both approaches across varying numbers of quantum processing units (QPUs) and under heterogeneous local and network noise conditions. Our results demonstrate that Global ZNE exhibits superior scalability, achieving error reductions of up to $48\%$ across six QPUs. Moreover, we observe counterintuitive noise behavior, where increasing the number of QPUs improves mitigation effectiveness despite higher communication overhead. These findings highlight fundamental trade-offs in distributed quantum error mitigation and raise new questions regarding the interplay between circuit structure, partitioning strategies, and network noise. Subjects: Quantum Physics (quant-ph); Distributed, Parallel, and Cluster Computing (cs.DC); Emerging Technologies (cs.ET) Cite as: arXiv:2602.04981 [quant-ph] (or arXiv:2602.04981v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2602.04981 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Maria Gragera Garces [view email] [v1] Wed, 4 Feb 2026 19:12:07 UTC (74 KB) Full-text links: Access Paper: View a PDF of the paper titled Distributed Quantum Error Mitigation: Global and Local ZNE encodings, by Maria Gragera GarcesView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-02 Change to browse by: cs cs.DC cs.ET 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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government-funding
quantum-computing
quantum-hardware
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quantum-error-correction

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Source: arXiv Quantum Physics