Efficient percolation simulations for lossy photonic fusion networks

The study of percolation phenomena has various applications ranging from social networks or materials science to quantum information. The most common percolation models are bond or site percolation for which the Newman-Ziff algorithm enables an efficient simulation. Here, we consider several nonstandard percolation models that appear in the context of measurement-based photonic quantum computing with so-called graph states and fusion networks. The associated percolation thresholds determine the tolerance to photon loss in such systems and we develop modifications of the Newman-Ziff algorithm to efficiently perform the corresponding percolation simulations. We demonstrate our algorithms by using them to characterize exemplary fusion networks and graph states. Published by the American Physical Society 2024

Authors

Institutions

Publication Details

Journal
Physical Review Research
Published
2024-09-10
DOI
https://doi.org/10.1103/physrevresearch.6.033273
Citations
5
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
1.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient percolation simulations for lossy photonic fusion networks

Anders S. Sørensen, Matthias C. Löbl, Stefano Paesani
5 citations
Physical Review Research
Quantum Information and Cryptography
1.74
article

Efficient percolation simulations for lossy photonic fusion networks

Anders S. Sørensen, Matthias C. Löbl, Stefano Paesani
article en
5 citations

Abstract

The study of percolation phenomena has various applications ranging from social networks or materials science to quantum information. The most common percolation models are bond or site percolation for which the Newman-Ziff algorithm enables an efficient simulation. Here, we consider several nonstandard percolation models that appear in the context of measurement-based photonic quantum computing with so-called graph states and fusion networks. The associated percolation thresholds determine the tolerance to photon loss in such systems and we develop modifications of the Newman-Ziff algorithm to efficiently perform the corresponding percolation simulations. We demonstrate our algorithms by using them to characterize exemplary fusion networks and graph states. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(3)
University of Copenhagen (DK)
Neuroscience Nursing Foundation, Villum Fonden, Danmarks Grundforskningsfond, Novo Nordisk Fonden, H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 13%
Quantum Information and Cryptography
1.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Efficient percolation simulations for lossy photonic fusion networks — Anders S. Sørensen, Matthias C. Löbl, et al. · Physical Review Research (2024) | TGRS Research Map | TGRS