Photonic multipartite entanglement in discrete variables without arbitrary unitaries

We present an approach for designing sources of postselected multipartite states based on photon-pair sources. Our approach can be applied to arbitrary target states in different encoding schemes and physical platforms. It also allows one to limit the types of components to be used in the device, such that lossy or difficult-to-implement optical elements can be avoided. As an example, we apply this strategy to design a passive integrated source of frequency-bin-encoded high-dimensional GHZ states with a 10-kHz on-chip generation rate for picojoule pump pulses.

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Publication Details

Journal
Physical Review Research
Published
2025-01-16
DOI
https://doi.org/10.1103/physrevresearch.7.013060
Citations
2
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
4.96

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article

Photonic multipartite entanglement in discrete variables without arbitrary unitaries

Marco Liscidini, Milica Banić, J. E. Sipe
2 citations
Physical Review Research
Neural Networks and Reservoir Computing
4.96
article

Photonic multipartite entanglement in discrete variables without arbitrary unitaries

Marco Liscidini, Milica Banić, J. E. Sipe
article en
2 citations

Abstract

We present an approach for designing sources of postselected multipartite states based on photon-pair sources. Our approach can be applied to arbitrary target states in different encoding schemes and physical platforms. It also allows one to limit the types of components to be used in the device, such that lossy or difficult-to-implement optical elements can be avoided. As an example, we apply this strategy to design a passive integrated source of frequency-bin-encoded high-dimensional GHZ states with a 10-kHz on-chip generation rate for picojoule pump pulses.

Physical Review ResearchVol. 7(1)
University of Toronto (CA), University of Pavia (IT), National Research Council Canada (CA)
Ministero dell'Università e della Ricerca, Natural Sciences and Engineering Research Council of Canada, National Research Council Canada
Openalex Percentile: Top 6%
Neural Networks and Reservoir Computing
4.96
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Photonic multipartite entanglement in discrete variables without arbitrary unitaries — Marco Liscidini, Milica Banić, et al. · Physical Review Research (2025) | TGRS Research Map | TGRS