Scaling of computational order parameters in Rydberg-atom graph states

Graph states are computationally powerful quantum states with many applications, including use as resource states for measurement-based quantum computing (MBQC). We demonstrate construction of graph states on a Rydberg atom quantum analog simulator. We show how an always-on interaction can be used to simultaneously entangle all Rydberg atoms into a graph state. We construct and implement many-body computational order parameters for graph states using nonlocal measurement-based logic operations in the Clifford group. The order parameters measure the efficacy of entanglement to allow MBQC on graph states of any size. We parametrize finite-size scaling of these order parameters. Our results define a route to efficiently test computational power in quantum devices.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-04-21
DOI
https://doi.org/10.1103/physreva.111.042617
Primary Topic
Cold Atom Physics and Bose-Einstein Condensates
Type
article
Field-Weighted Citation Impact
0.00

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article

Scaling of computational order parameters in Rydberg-atom graph states

V. W. Scarola, Zhangjie Qin
Physical review. A/Physical review, A
Cold Atom Physics and Bose-Einstein Condensates
article

Scaling of computational order parameters in Rydberg-atom graph states

V. W. Scarola, Zhangjie Qin
article en

Abstract

Graph states are computationally powerful quantum states with many applications, including use as resource states for measurement-based quantum computing (MBQC). We demonstrate construction of graph states on a Rydberg atom quantum analog simulator. We show how an always-on interaction can be used to simultaneously entangle all Rydberg atoms into a graph state. We construct and implement many-body computational order parameters for graph states using nonlocal measurement-based logic operations in the Clifford group. The order parameters measure the efficacy of entanglement to allow MBQC on graph states of any size. We parametrize finite-size scaling of these order parameters. Our results define a route to efficiently test computational power in quantum devices.

Physical review. A/Physical review, AVol. 111(4)
Virginia Tech (US)
Air Force Office of Scientific Research, Army Research Office
Openalex Percentile: Top 94%
Cold Atom Physics and Bose-Einstein Condensates
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