Evidence map›Paper›PMID 40470081›Full record

ArticleNanophotonics (Berlin, Germany)2025

Improving quantum metrology protocols with programmable photonic circuits.

Alberto Muñoz de Las Heras, Diego Porras, Alejandro González-Tudela

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 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. Quantum light: creation, integration, and applications.Nanophotonics (Berlin, Germany) · 2025
    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

3 authors.

Alberto Muñoz de Las HerasInstitute of Fundamental Physics IFF-CSIC, Calle Serrano 113b, 28006, Madrid, Spain.ORCID https://orcid.org/0000-0003-3836-6107
Diego PorrasInstitute of Fundamental Physics IFF-CSIC, Calle Serrano 113b, 28006, Madrid, Spain.ORCID https://orcid.org/0000-0003-2995-0299
Alejandro González-TudelaInstitute of Fundamental Physics IFF-CSIC, Calle Serrano 113b, 28006, Madrid, Spain.ORCID https://orcid.org/0000-0003-2307-6967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photonic quantum metrology enables the measurement of physical parameters with precision surpassing classical limits by using quantum states of light. However, generating states providing a large metrological advantage is hard because standard probabilistic methods suffer from low generation rates. Deterministic protocols using non-linear interactions offer a path to overcome this problem, but they are currently limited by the errors introduced during the interaction time. Thus, finding strategies to minimize the interaction time of these non-linearities is still a relevant question. In this work, we introduce and compare different deterministic strategies based on continuous and programmable Jaynes-Cummings and Kerr-type interactions, aiming to maximize the metrological advantage while minimizing the interaction time. We find that programmable interactions provide a larger metrological advantage than continuous operations at the expense of slightly larger interaction times. We show that while for Jaynes-Cummings non-linearities the interaction time grows with the photon number, for Kerr-type ones it decreases, favoring the scalability to big photon numbers. Finally, we also optimize different measurement strategies for the deterministically generated states based on photon-counting and homodyne detection.

Indexed as

non-linear optics and photonicsphotonic quantum metrologyprogrammable photonic circuitsvariational quantum algorithms

Identifiers

PMID40470081
PMCPMC12133255

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.