Evidence map›Paper›PMID 38724516›Full record

ArticleLight, science & applications2024

Entangled photon pair generation in an integrated SiC platform.

Anouar Rahmouni, Ruixuan Wang, Jingwei Li, Xiao Tang, Thomas Gerrits, Oliver Slattery, Qing Li, Lijun Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anouar RahmouniNational Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899, USA. anouar.rahmouni@nist.gov.ORCID http://orcid.org/0000-0002-3418-5790
Ruixuan WangDepartment of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Jingwei LiDepartment of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Xiao TangNational Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899, USA.
Thomas GerritsNational Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899, USA.
Oliver SlatteryNational Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899, USA.
Qing LiDepartment of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA. qingli2@andrew.cmu.edu.ORCID http://orcid.org/0000-0002-8023-811X
Lijun MaNational Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD, 20899, USA. lijun.ma@nist.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Entanglement plays a vital role in quantum information processing. Owing to its unique material properties, silicon carbide recently emerged as a promising candidate for the scalable implementation of advanced quantum information processing capabilities. To date, however, only entanglement of nuclear spins has been reported in silicon carbide, while an entangled photon source, whether it is based on bulk or chip-scale technologies, has remained elusive. Here, we report the demonstration of an entangled photon source in an integrated silicon carbide platform for the first time. Specifically, strongly correlated photon pairs are efficiently generated at the telecom C-band wavelength through implementing spontaneous four-wave mixing in a compact microring resonator in the 4H-silicon-carbide-on-insulator platform. The maximum coincidence-to-accidental ratio exceeds 600 at a pump power of 0.17 mW, corresponding to a pair generation rate of (9 ± 1) × 10

Identifiers

PMID38724516
PMCPMC11082171

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.