Evidence map›Paper›PMID 40730837›Full record

ArticleNature communications2025

An on-chip phased array for non-classical light.

Volkan Gurses, Samantha I Davis, Raju Valivarthi, Neil Sinclair, Maria Spiropulu, Ali Hajimiri

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Volkan GursesDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA. gurses@caltech.edu.ORCID http://orcid.org/0000-0001-8184-208X
Samantha I DavisDivision of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-9994-8165
Raju ValivarthiDivision of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA, USA.
Neil SinclairAlliance for Quantum Technologies (AQT), California Institute of Technology, Pasadena, CA, USA.
Maria SpiropuluDivision of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-8172-7081
Ali HajimiriDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-6736-8019

Funding

U.S. Department of Energy (DOE) AQNET
6 · The paper itself

Abstract

Quantum science and technology can offer fundamental enhancements in sensing, communications and computing. The expansion from wired to wireless links is an exciting prospect for quantum technologies. For classical technologies, the advent of phased arrays enabled directional and adaptive wireless links by manipulating electromagnetic waves over free space. Here we demonstrate a phased array system on a chip that can receive, image and manipulate non-classical light over free space. We use an integrated photonic-electronic system with more than 1000 functional components on-chip to detect squeezed light. By integrating an array of 32 sub-wavelength engineered metamaterial antennas, we demonstrate a direct free-space-to-chip interface for reconfigurable quantum links. On the same chip, we implement a large-scale array of quantum-limited coherent receivers that can resolve non-classical signals simultaneously across 32 channels. With coherent readout and manipulation of these signals, we demonstrate 32-pixel imaging and spatially configurable reception of squeezed light over free space. Our work advances wireless quantum technologies that could enable practical applications in quantum communications and sensing.

Identifiers

PMID40730837
PMCPMC12307807

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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.