Evidence map›Paper›PMID 41800170›Full record

ArticleNanophotonics (Berlin, Germany)2026

Sensitivity Evaluation for Global Perturbations in Non-Hermitian Skin-Effect Sensors.

Letian Yu, Cesare Soci, Y D Chong, Baile Zhang

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2026. 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

4 authors.

Letian YuDivision of Physics and Applied Physics, School of Physical and Mathematical Sciences Nanyang Technological University Singapore.
Cesare SociDivision of Physics and Applied Physics, School of Physical and Mathematical Sciences Nanyang Technological University Singapore.
Y D ChongDivision of Physics and Applied Physics, School of Physical and Mathematical Sciences Nanyang Technological University Singapore.ORCID https://orcid.org/0000-0002-8649-7884
Baile ZhangDivision of Physics and Applied Physics, School of Physical and Mathematical Sciences Nanyang Technological University Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-Hermiticity has introduced new physical mechanisms into sensing, with approaches based on exceptional points and non-Hermitian skin effects demonstrating potential sensitivity enhancements over conventional sensing technologies. By monitoring the frequency shifts of specific eigenmodes, previous studies on non-Hermitian sensors have revealed extraordinary sensitivity to local perturbations. In contrast, the influence of global perturbations such as noise and disorder, which generally involve complex spectra and may even suppress these eigenmodes, seems largely incompatible with the current non-Hermitian sensing framework and has received far less attention. Here, motivated by recent theoretical advances on pseudospectra theory, we investigate the possibility of employing maximum transient growth to probe the level of global perturbations in non-Hermitian skin-effect sensors. Using discrete-time light walks in synthetic photonic lattices, we experimentally evaluate the performance of a non-Hermitian photonic lattice under static global phase noise. Remarkably, we demonstrate that the sensitivity grows exponentially with lattice size, manifesting in the maximum transient growth rather than the spectral shifts of previous non-Hermitian skin-effect sensors. Furthermore, numerical simulations reveal that this exponential sensitivity is preserved under dynamical perturbations. Our results highlight the limits as well as the potential of non-Hermitian systems to tackle a wide range of sensing requirements for next-generation ultrasensitive sensors.

Identifiers

PMID41800170
PMCPMC12965027

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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.