Data underlying the publication: Resource efficient piece-wise entanglement distribution from a quantum switch

DOI:10.4121/b0a77b85-10a8-47df-8d69-77de8f2f0f24.v1
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DOI: 10.4121/b0a77b85-10a8-47df-8d69-77de8f2f0f24

Datacite citation style

Prielinger, Luise; Goodenough, Kenneth; Avis, Guus; Vardoyan, Gayane (2025): Data underlying the publication: Resource efficient piece-wise entanglement distribution from a quantum switch. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b0a77b85-10a8-47df-8d69-77de8f2f0f24.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

We introduce a family of piece-wise distribution protocols that create and deliver stabilizer states ranging from Greenberger-Horne-Zeilinger (GHZ) states to arbitrary graph states via a single entanglement switch. Unlike existing schemes that wait for all Bell-pair links to be established before distributing the desired state, our approach stores only a minimal subset of links while processing every subsequent link immediately. Our protocols provably shorten average individual storage times, and lower cumulative noise as a direct consequence. Furthermore, in order to deliver general stabilizer states to the end nodes efficiently, we utilize a well studied concept of stabilizer states, namely local Clifford equivalence, which allows us to generate an intermediate state, before restoring the desired final state. In our comprehensive numerical evaluation, we compare our delivered state fidelities to prior literature for state sizes up to n = 50 qubits and find that our protocol achieves up to 45% reduction in relative error probability when choosing our scheme over the baseline.


This data accompanies the work and comprises its numerical findings.

History

  • 2025-07-25 first online, published, posted

Publisher

4TU.ResearchData

Format

csv, pdf, png, md, pickle

Funding

  • NWO funding 2020–2024 Part I ‘Fundamental Research’ (grant code 601.QT.001-1) Dutch Research Council (NWO)

Organizations

QuTech, Delft University of Technology

DATA

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