Evidence map›Paper›PMID 39741127›Full record

ArticleLight, science & applications2025

Enhanced sensitivity via non-Hermitian topology.

Midya Parto, Christian Leefmans, James Williams, Robert M Gray, Alireza Marandi

Abstract read
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Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed.

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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

5 authors.

Midya Parto *Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.ORCID http://orcid.org/0000-0003-2100-5671
Christian Leefmans *Department of Applied Physics, California Institute of Technology, Pasadena, CA, 91125, USA.
James WilliamsDepartment of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Robert M GrayDepartment of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.ORCID http://orcid.org/0000-0001-5980-8774
Alireza MarandiDepartment of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA. marandi@caltech.edu.ORCID http://orcid.org/0000-0002-0470-0050

Funding

National Science Foundation (NSF) 1846273National Science Foundation (NSF) 1918549United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-23-1-0048
6 · The paper itself

Abstract

Sensors are indispensable tools of modern life that are ubiquitously used in diverse settings ranging from smartphones and autonomous vehicles to the healthcare industry and space technology. By interfacing multiple sensors that collectively interact with the signal to be measured, one can go beyond the signal-to-noise ratios (SNR) attainable by the individual constituting elements. Such techniques have also been implemented in the quantum regime, where a linear increase in the SNR has been achieved via using entangled states. Along similar lines, coupled non-Hermitian systems have provided yet additional degrees of freedom to obtain better sensors via higher-order exceptional points. Quite recently, a new class of non-Hermitian systems, known as non-Hermitian topological sensors (NTOS) has been theoretically proposed. Remarkably, the synergistic interplay between non-Hermiticity and topology is expected to bestow such sensors with an enhanced sensitivity that grows exponentially with the size of the sensor network. Here, we experimentally demonstrate NTOS using a network of photonic time-multiplexed resonators in the synthetic dimension represented by optical pulses. By judiciously programming the delay lines in such a network, we realize the archetypal Hatano-Nelson model for our non-Hermitian topological sensing scheme. Our experimentally measured sensitivities for different lattice sizes confirm the characteristic exponential enhancement of NTOS. We show that this peculiar response arises due to the combined synergy between non-Hermiticity and topology, something that is absent in Hermitian topological lattices. Our demonstration of NTOS paves the way for realizing sensors with unprecedented sensitivities.

Identifiers

PMID39741127
PMCPMC11688499

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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.