Evidence map›Paper›PMID 40557296›Full record

ArticleACS photonics2025

Adiabatic Energetic Annealing via Dual Single-Pixel Detection in an Optical Nonlinear Ising Machine.

Luana Olivieri, Andrew R Cooper, Luke Peters, Vittorio Cecconi, Alessia Pasquazi, Marco Peccianti, Juan S Totero Gongora

Abstract read
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. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

7 authors.

Luana OlivieriEmergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU, Loughborough, United Kingdom.ORCID https://orcid.org/0000-0003-1729-7894
Andrew R CooperEmergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU, Loughborough, United Kingdom.ORCID https://orcid.org/0009-0005-1810-4857
Luke PetersEmergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU, Loughborough, United Kingdom.ORCID https://orcid.org/0000-0003-0553-2965
Vittorio CecconiEmergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU, Loughborough, United Kingdom.ORCID https://orcid.org/0000-0002-4054-717X
Alessia PasquaziEmergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU, Loughborough, United Kingdom.ORCID https://orcid.org/0000-0003-3330-584X
Marco PecciantiEmergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU, Loughborough, United Kingdom.ORCID https://orcid.org/0000-0001-8894-496X
Juan S Totero GongoraEmergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU, Loughborough, United Kingdom.ORCID https://orcid.org/0000-0003-2300-4218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photonic Ising machines are leading key advancements in solving large combinatorial problems, leveraging large-scale platforms with parallel computing capabilities. A well-known bottleneck of complex problems is the appearance of multiple minima in the energetic landscape that attract Metropolis-based iterations in suboptimal solutions, thus hindering the performance of standard optical solvers in large systems. By introducing a double single-pixel detection scheme based on intensity and field averages in an optical-based Ising machine, we effectively implement local and nonlocal nonlinear Hamiltonians, representing a complex and simple state, respectively. Transitioning from nonlocal to local nonlinear detection enables to adiabatically morph the energetic landscape, enhancing the success rate of finding the optimal solution compared to standard isothermal approaches.

Indexed as

computational single-pixel sensingIsing machinesoptical computingspin-glass

Identifiers

PMID40557296
PMCPMC12183720

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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.