A Fuzzy Approach to LPFG-Based Optical Sensor Processing and Interrogation

Barino, Felipe Oliveira; Aguiar, Eduardo Pestana de; Honório, Leonardo de Mello; Silva, Vinícius N. H.; Lopez-Barbero, A.P.; Santos, Alexandre Bessa dos

doi:10.1109/tim.2022.3216390

Cited by 7 publications

(1 citation statement)

References 38 publications

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“…Furthermore, it is imperative to evaluate how quantum plexcitonic sensing performs under the influence of optical noise. Herein, white noise, − which was modeled using additive white Gaussian noise − with various levels of the signal-to-noise ratio (SNR), was added to the reflection spectra in panels a and d of Figure to investigate noise-modulated sensitivity based on Monte Carlo simulations (details in section S4).…”

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confidence: 99%

Quantum Plexcitonic Sensing

Zheng,

Semancik,

Barman

2023

Nano Lett.

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While fundamental to quantum sensing, quantum state control has been traditionally limited to extreme conditions. This restricts the impact of the practical implementation of quantum sensing on a broad range of physical measurements. Plexcitons, however, provide a promising path under ambient conditions toward quantum state control and thus quantum sensing, owing to their origin from strong plasmon–exciton coupling. Herein, we harness plexcitons to demonstrate quantum plexcitonic sensing by strongly coupling excitonic particles to a plasmonic hyperbolic metasurface. As compared to classical sensing in the weak-coupling regime, our model of quantum plexcitonic sensing performs at a level that is ∼40 times more sensitive. Noise-modulated sensitivity studies reinforce the quantum advantage over classical sensing, featuring better sensitivity, smaller sensitivity uncertainty, and higher resilience against optical noise. The successful demonstration of quantum plexcitonic sensing opens the door for a variety of physical, chemical, and biological measurements by leveraging strongly coupled plasmon–exciton systems.

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