Optimization of deterministic photonic-graph-state generation via local operations

Realizing photonic graph states, crucial in various quantum protocols, is challenging due to the absence of deterministic entangling gates in linear optics. To address this, emitter qubits have been leveraged to establish and transfer the entanglement to photons. We introduce an optimization method for such protocols based on the local Clifford equivalency of states and the graph theoretical correlations of the generation cost parameters. Employing this method, we achieve a 50% reduction in use of the two-qubit gates for generation of the arbitrary large repeater graph states and similar significant reductions in the total gate count for generation of random dense graphs.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2024-11-15
DOI
https://doi.org/10.1103/physreva.110.052605
Citations
8
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
2.78

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article

Optimization of deterministic photonic-graph-state generation via local operations

Hoi‐Kwong Lo, Benjamin MacLellan, Jie Lin, Piotr Roztocki et al.
8 citations
Physical review. A/Physical review, A
Neural Networks and Reservoir Computing
2.78
article

Optimization of deterministic photonic-graph-state generation via local operations

Hoi‐Kwong Lo, Benjamin MacLellan, Jie Lin, Piotr Roztocki, Luc Robichaud, Sobhan Ghanbari
article en
8 citations

Abstract

Realizing photonic graph states, crucial in various quantum protocols, is challenging due to the absence of deterministic entangling gates in linear optics. To address this, emitter qubits have been leveraged to establish and transfer the entanglement to photons. We introduce an optimization method for such protocols based on the local Clifford equivalency of states and the graph theoretical correlations of the generation cost parameters. Employing this method, we achieve a 50% reduction in use of the two-qubit gates for generation of the arbitrary large repeater graph states and similar significant reductions in the total gate count for generation of random dense graphs.

Physical review. A/Physical review, AVol. 110(5)
University of Waterloo (CA), University of Toronto (CA), Applied Quantum Technologies (United States) (US)
Mitacs, Natural Sciences and Engineering Research Council of Canada, National Research Council Canada, Air Force Office of Scientific Research
Openalex Percentile: Top 8%
Neural Networks and Reservoir Computing
2.78
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Optimization of deterministic photonic-graph-state generation via local operations — Hoi‐Kwong Lo, Benjamin MacLellan, et al. · Physical review. A/Physical review, A (2024) | TGRS Research Map | TGRS