Evidence map›Paper›PMID 39830854›Full record

ArticleACS photonics2025

Visible-Telecom Entangled-Photon Pair Generation with Integrated Photonics: Guidelines and a Materials Comparison.

Liao Duan, Trevor J Steiner, Paolo Pintus, Lillian Thiel, Joshua E Castro, John E Bowers, Galan Moody

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS photonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Liao DuanDepartment of Physics, University of California, Santa Barbara, California 93106, United States.
Trevor J SteinerMaterials Department, University of California, Santa Barbara, California 93106, United States.
Paolo PintusElectrical and Computer Engineering Department, University of California, Santa Barbara, California 93106, United States.
Lillian ThielElectrical and Computer Engineering Department, University of California, Santa Barbara, California 93106, United States.
Joshua E CastroElectrical and Computer Engineering Department, University of California, Santa Barbara, California 93106, United States.
John E BowersElectrical and Computer Engineering Department, University of California, Santa Barbara, California 93106, United States.
Galan MoodyElectrical and Computer Engineering Department, University of California, Santa Barbara, California 93106, United States.ORCID https://orcid.org/0000-0002-6265-2034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Correlated photon-pair sources are key components for quantum computing, networking, synchronization, and sensing applications. Integrated photonics has enabled chip-scale sources using nonlinear processes, producing high-rate time-energy and polarization entanglement at telecom wavelengths with sub-100 microwatt pump power. Many quantum systems operate in the visible or near-infrared ranges, necessitating visible-telecom entangled-pair sources for connecting remote systems via entanglement swapping and teleportation. This study evaluates biphoton pair generation and time-energy entanglement through spontaneous four-wave mixing in various nonlinear integrated photonic materials, including silicon nitride, lithium niobate, aluminum gallium arsenide, indium gallium phosphide, and gallium nitride. We demonstrate how geometric dispersion engineering facilitates phase-matching for each platform and reveals unexpected results, such as robust designs to fabrication variations and a Type-1 cross-polarized phase-matching condition for III-V materials that expands the operational wavelength range.

Identifiers

PMID39830854
PMCPMC11741160

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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.