Exceptional-point-enhanced phase sensing.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
05 Apr 2024
Historique:
medline: 5 4 2024
pubmed: 5 4 2024
entrez: 5 4 2024
Statut: ppublish

Résumé

Optical sensors, crucial in diverse fields like gravitational wave detection, biomedical imaging, and structural health monitoring, rely on optical phase to convey valuable information. Enhancing sensitivity is important for detecting weak signals. Exceptional points (EPs), identified in non-Hermitian systems, offer great potential for advanced sensors, given their marked response to perturbations. However, strict physical requirements for operating a sensor at EPs limit broader applications. Here, we introduce an EP-enhanced sensing platform featuring plug-in external sensors separated from an EP control unit. EPs are achieved without modifying the sensor, solely through control-unit adjustments. This configuration converts and amplifies optical phase changes into quantifiable spectral features. By separating sensing and control functions, we expand the applicability of EP enhancement to various conventional sensors. As a proof-of-concept, we demonstrate a sixfold reduction in the detection limit of fiber-optic strain sensing using this configuration. This work establishes a universal platform for applying EP enhancement to diverse phase-dependent structures, promising ultrahigh-sensitivity sensing across various applications.

Identifiants

pubmed: 38579005
doi: 10.1126/sciadv.adl5037
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eadl5037

Auteurs

Wenbo Mao (W)

Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA.

Zhoutian Fu (Z)

Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA.

Yihang Li (Y)

Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA.

Fu Li (F)

Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA.

Lan Yang (L)

Department of Electrical and Systems Engineering, Washington University, St. Louis, MO 63130, USA.

Classifications MeSH