Evidence map›Paper›PMID 39622814›Full record

ArticleNature communications2024

A thin film lithium niobate near-infrared platform for multiplexing quantum nodes.

Daniel Assumpcao, Dylan Renaud, Aida Baradari, Beibei Zeng, Chawina De-Eknamkul, C J Xin, Amirhassan Shams-Ansari, David Barton, Bartholomeus Machielse, Marko Loncar

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In one paragraph

Article in Nature communications, 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. Review
  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

10 authors.

Daniel Assumpcao *John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. dassumpcao@g.harvard.edu.ORCID http://orcid.org/0000-0002-0374-9901
Dylan Renaud *John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. renaud@g.harvard.edu.ORCID http://orcid.org/0000-0002-7709-9606
Aida BaradariJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0009-0006-2552-5710
Beibei ZengAWS Center for Quantum Networking, Boston, MA, USA.
Chawina De-EknamkulAWS Center for Quantum Networking, Boston, MA, USA.
C J XinJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-9596-1407
Amirhassan Shams-AnsariDRS Daylight Solutions, San Diego, CA, USA.
David BartonJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Bartholomeus MachielseAWS Center for Quantum Networking, Boston, MA, USA.
Marko LoncarJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA. loncar@g.harvard.edu.ORCID http://orcid.org/0000-0002-5029-5017

Funding

National Science Foundation (NSF) NSF EEC-1941583United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) AFOSR FA9550-19-1-037United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) ARO MURI W911NF1810432
6 · The paper itself

Abstract

Practical quantum networks will require multi-qubit quantum nodes. This in turn will increase the complexity of the photonic circuits needed to control each qubit and require strategies to multiplex memories. Integrated photonics operating at visible to near-infrared (VNIR) wavelength range can provide solutions to these needs. In this work, we realize a VNIR thin-film lithium niobate (TFLN) integrated photonics platform with the key components to meet these requirements, including low-loss couplers (<1 dB/facet), switches (>20 dB extinction), and high-bandwidth electro-optic modulators (>50 GHz). With these devices, we demonstrate high-efficiency and CW-compatible frequency shifting (>50% efficiency at 15 GHz), as well as simultaneous laser amplitude and frequency control. Finally, we highlight an architecture for multiplexing quantum memories and outline how this platform can enable a 2-order of magnitude improvement in entanglement rates over single memory nodes. Our results demonstrate that TFLN can meet the necessary performance and scalability benchmarks to enable large-scale quantum nodes.

Identifiers

PMID39622814
PMCPMC11612428

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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.