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Journal articles on the topic 'Quantum sensing'

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1

Sherbert, Kyle M., Naveed Naimipour, Haleh Safavi, Harry C. Shaw, and Mojtaba Soltanalian. "Quantum Compressive Sensing: Mathematical Machinery, Quantum Algorithms, and Quantum Circuitry." Applied Sciences 12, no. 15 (2022): 7525. http://dx.doi.org/10.3390/app12157525.

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Compressive sensing is a sensing protocol that facilitates the reconstruction of large signals from relatively few measurements by exploiting known structures of signals of interest, typically manifested as signal sparsity. Compressive sensing’s vast repertoire of applications in areas such as communications and image reconstruction stems from the traditional approach of utilizing non-linear optimization to exploit the sparsity assumption by selecting the lowest-weight (i.e., maximum sparsity) signal consistent with all acquired measurements. Recent efforts in the literature consider instead a
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2

Osborne, Ian S. "Quantum enhanced sensing." Science 373, no. 6555 (2021): 637.5–638. http://dx.doi.org/10.1126/science.373.6555.637-e.

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3

Geurdes, Johannes F. "Quantum Remote Sensing." Physics Essays 11, no. 3 (1998): 367–74. http://dx.doi.org/10.4006/1.3025312.

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4

Kutas, Mirco, Björn Haase, Patricia Bickert, Felix Riexinger, Daniel Molter, and Georg von Freymann. "Terahertz quantum sensing." Science Advances 6, no. 11 (2020): eaaz8065. http://dx.doi.org/10.1126/sciadv.aaz8065.

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Quantum sensing is highly attractive for accessing spectral regions in which the detection of photons is technically challenging: Sample information is gained in the spectral region of interest and transferred via biphoton correlations into another spectral range, for which highly sensitive detectors are available. This is especially beneficial for terahertz radiation, where no semiconductor detectors are available and coherent detection schemes or cryogenically cooled bolometers have to be used. Here, we report on the first demonstration of quantum sensing in the terahertz frequency range in
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5

Osborne, Ian S. "Enhancing quantum sensing." Science 356, no. 6340 (2017): 816.3–816. http://dx.doi.org/10.1126/science.356.6340.816-c.

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6

Farooq, Ahmad, Uman Khalid, Junaid ur Rehman, and Hyundong Shin. "Robust Quantum State Tomography Method for Quantum Sensing." Sensors 22, no. 7 (2022): 2669. http://dx.doi.org/10.3390/s22072669.

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Reliable and efficient reconstruction of pure quantum states under the processing of noisy measurement data is a vital tool in fundamental and applied quantum information sciences owing to communication, sensing, and computing. Specifically, the purity of such reconstructed quantum systems is crucial in surpassing the classical shot-noise limit and achieving the Heisenberg limit, regarding the achievable precision in quantum sensing. However, the noisy reconstruction of such resourceful sensing probes limits the quantum advantage in precise quantum sensing. For this, we formulate a pure quantu
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Sinanan-Singh, Jasmine, Gabriel L. Mintzer, Isaac L. Chuang, and Yuan Liu. "Single-shot Quantum Signal Processing Interferometry." Quantum 8 (July 30, 2024): 1427. http://dx.doi.org/10.22331/q-2024-07-30-1427.

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Quantum systems of infinite dimension, such as bosonic oscillators, provide vast resources for quantum sensing. Yet, a general theory on how to manipulate such bosonic modes for sensing beyond parameter estimation is unknown. We present a general algorithmic framework, quantum signal processing interferometry (QSPI), for quantum sensing at the fundamental limits of quantum mechanics by generalizing Ramsey-type interferometry. Our QSPI sensing protocol relies on performing nonlinear polynomial transformations on the oscillator's quadrature operators by generalizing quantum signal proce
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8

XU Jiaxin, XU Lechen, LIU Jingyang, DING Huajian, and WANG Qin. "Research Progress on Artificial Intelligence Empowered Quantum Communication and Quantum Sensing Systems." Acta Physica Sinica 74, no. 12 (2025): 0. https://doi.org/10.7498/aps.74.20250322.

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Quantum communication and quantum sensing, which leverage the unique characteristics of quantum systems, enable information-theoretically secure communication and high-precision measurement of physical quantities. They have attracted significant attention in recent research. However, they both face numerous challenges on the path to practical application. For instance, device imperfections may lead to security vulnerability, and environmental noise may significantly reduce measurement accuracy. Traditional solutions often involve high computational complexity, long processing times, and substa
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9

Coleman, Hannah, and Matt Brookes. "Quantum sensing the brain." Physics World 34, no. 2 (2021): 23–27. http://dx.doi.org/10.1088/2058-7058/34/02/27.

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10

Bakhshandeh, Sadra. "Quantum sensing goes bio." Nature Reviews Materials 7, no. 4 (2022): 254. http://dx.doi.org/10.1038/s41578-022-00435-y.

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11

Mitchell, Morgan W. "Number-unconstrained quantum sensing." Quantum Science and Technology 2, no. 4 (2017): 044005. http://dx.doi.org/10.1088/2058-9565/aa80c0.

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12

Kongsuwan, Nuttawut, Xiao Xiong, Ping Bai, et al. "Quantum Plasmonic Immunoassay Sensing." Nano Letters 19, no. 9 (2019): 5853–61. http://dx.doi.org/10.1021/acs.nanolett.9b01137.

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13

Dowran, Mohammadjavad, Ashok Kumar, Benjamin J. Lawrie, Raphael C. Pooser, and Alberto M. Marino. "Quantum-enhanced plasmonic sensing." Optica 5, no. 5 (2018): 628. http://dx.doi.org/10.1364/optica.5.000628.

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14

Bonalda, Daniele, Luigi Seveso, and Matteo G. A. Paris. "Quantum Sensing of Curvature." International Journal of Theoretical Physics 58, no. 9 (2019): 2914–35. http://dx.doi.org/10.1007/s10773-019-04174-9.

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15

Xavier, Jolly, Deshui Yu, Callum Jones, Ekaterina Zossimova, and Frank Vollmer. "Quantum nanophotonic and nanoplasmonic sensing: towards quantum optical bioscience laboratories on chip." Nanophotonics 10, no. 5 (2021): 1387–435. http://dx.doi.org/10.1515/nanoph-2020-0593.

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Abstract Quantum-enhanced sensing and metrology pave the way for promising routes to fulfil the present day fundamental and technological demands for integrated chips which surpass the classical functional and measurement limits. The most precise measurements of optical properties such as phase or intensity require quantum optical measurement schemes. These non-classical measurements exploit phenomena such as entanglement and squeezing of optical probe states. They are also subject to lower detection limits as compared to classical photodetection schemes. Biosensing with non-classical light so
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16

Doskaliuk, Natalia, Yuliana Lukan, and Yuriy Khalavka. "Quantum dots for temperature sensing." Scientiae Radices 2, no. 1 (2023): 69–87. http://dx.doi.org/10.58332/scirad2023v2i1a04.

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Quantum dots are three-dimensional nanoparticles of semiconductors with typical sizes ranging from 2 to 10 nm. Due to the quantum confinement effect the energy gap increase with the size decreasing resulting in size-depended and fine-tunable optical characteristics. Besides this, the energy structure of a quantum dot with a certain size is highly sensitive to environmental conditions. These specific properties open a wide range of applications starting from optical and optoelectronic devices and ending with biosensing and life science. Temperature is one of those parameters influencing strongl
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17

Doskaliuk, Natalia, Yuliana Lukan, and Yuriy Khalavka. "Quantum dots for temperature sensing." Scientiae Radices 2, no. 2 (2023): 93–111. http://dx.doi.org/10.58332/scirad2023v2i2a01.

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Quantum dots are three-dimensional nanoparticles of semiconductors with typical sizes ranging from 2 to 10 nm. Due to the quantum confinement effect the energy gap increase with the size decreasing resulting in size-depended and fine-tunable optical characteristics. Besides this, the energy structure of a quantum dot with a certain size is highly sensitive to environmental conditions. These specific properties open a wide range of applications starting from optical and optoelectronic devices and ending with biosensing and life science. Temperature is one of those parameters influencing strongl
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18

Ajoy, Ashok, Yi-Xiang Liu, Kasturi Saha, et al. "Quantum interpolation for high-resolution sensing." Proceedings of the National Academy of Sciences 114, no. 9 (2017): 2149–53. http://dx.doi.org/10.1073/pnas.1610835114.

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Recent advances in engineering and control of nanoscale quantum sensors have opened new paradigms in precision metrology. Unfortunately, hardware restrictions often limit the sensor performance. In nanoscale magnetic resonance probes, for instance, finite sampling times greatly limit the achievable sensitivity and spectral resolution. Here we introduce a technique for coherent quantum interpolation that can overcome these problems. Using a quantum sensor associated with the nitrogen vacancy center in diamond, we experimentally demonstrate that quantum interpolation can achieve spectroscopy of
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19

Zhao, Wen, Xuan Tang, Xueshi Guo, Xiaoying Li, and Z. Y. Ou. "Quantum entangled Sagnac interferometer." Applied Physics Letters 122, no. 6 (2023): 064003. http://dx.doi.org/10.1063/5.0135084.

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A SU(1,1) interferometer (SUI) is a kind of quantum entangled interferometer that uses directly entangled quantum fields for sensing phase change. For rotational sensing, Sagnac geometry is usually adopted. However, because SUI depends on the phase sum of the two arms, traditional Sagnac geometry, when applied to SUI, will result in null signal. In this paper, we modify the traditional Sagnac interferometer by nesting SUIs inside. We show that the rotational signal comes from two parts labeled as “classical” and “quantum,” respectively, and the quantum part, where quantum entangled fields are
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20

Allen, Michael, Laura Hiscott, Margaret Harris, and Michael Banks. "Sensing gravity, the quantum way." Physics World 34, no. 12 (2021): 44–47. http://dx.doi.org/10.1088/2058-7058/34/12/38.

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Devices that exploit the extreme sensitivity of quantum states are making their way out of the lab and into everything from construction and healthcare to seismology. Michael Allen learns more about the technology that goes into building a quantum gravity sensor, and its multitude of uses in research and industry.
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21

Yang, Limin, Heyi Wang, Sen Yang, and Yang Lu. "Strained diamond for quantum sensing applications." Materials for Quantum Technology 4, no. 2 (2024): 023001. http://dx.doi.org/10.1088/2633-4356/ad4e8d.

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Abstract Apart from being an extraordinary optical and electronic material, diamond has also found applications in quantum mechanics especially in quantum sensing with the discovery and research development of various color centers. Elastic strain engineering (ESE), as a powerful modulation method, can tune the quantum properties and improve the performance of diamond quantum sensors. In recent years, deep ESE (DESE, when >5% elastic strain, or >σ ideal/2 is achieved) has been realized in micro/nano-fabricated diamond and shows a great potential for tuning the quantum mechanical properti
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22

Migliore, Agostino, Ron Naaman, and David N. Beratan. "Sensing of molecules using quantum dynamics." Proceedings of the National Academy of Sciences 112, no. 19 (2015): E2419—E2428. http://dx.doi.org/10.1073/pnas.1502000112.

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We design sensors where information is transferred between the sensing event and the actuator via quantum relaxation processes, through distances of a few nanometers. We thus explore the possibility of sensing using intrinsically quantum mechanical phenomena that are also at play in photobiology, bioenergetics, and information processing. Specifically, we analyze schemes for sensing based on charge transfer and polarization (electronic relaxation) processes. These devices can have surprising properties. Their sensitivity can increase with increasing separation between the sites of sensing (the
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23

Kantsepolsky, Boris, and Itzhak Aviv. "Quantum Sensing for the Cities of the Future." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W10-2024 (May 31, 2024): 93–100. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w10-2024-93-2024.

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Abstract. Quantum sensing technologies provide future cities with unimaginable techniques for solving their complex problems. Quantum sensors, through the utilization of quantum effects such as superposition, entanglement, and tunneling, can provide an unmatched level of sensitivity, precision, and durability against traditional sensing technologies. This study explores the potential applications of quantum sensing in four critical urban infrastructure domains: water, energy, transport, and construction. Throughout this study, we determine the most promising quantum sensing technologies for ea
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24

TAKEUCHI, Shigeki. "Quantum-Entangled Light Sources and Photonic Quantum Sensing." Journal of the Japan Society for Precision Engineering 89, no. 8 (2023): 610–14. http://dx.doi.org/10.2493/jjspe.89.610.

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25

Moore, Sean W., and Jacob A. Dunningham. "Secure quantum remote sensing without entanglement." AVS Quantum Science 5, no. 1 (2023): 014406. http://dx.doi.org/10.1116/5.0137260.

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Quantum metrology and quantum communications are typically considered as distinct applications in the broader portfolio of quantum technologies. However, there are cases where we might want to combine the two, and recent proposals have shown how this might be achieved in entanglement-based systems. Here, we present an entanglement-free alternative that has advantages in terms of simplicity and practicality, requiring only individual qubits to be transmitted. We demonstrate the performance of the scheme in both the low and high data limits, showing quantum advantages both in terms of measuremen
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26

Brady, Anthony J., Jing Wu, and Quntao Zhuang. "Safeguarding Oscillators and Qudits with Distributed Two-Mode Squeezing." Quantum 8 (September 19, 2024): 1478. http://dx.doi.org/10.22331/q-2024-09-19-1478.

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Recent advancements in multi-mode Gottesman-Kitaev-Preskill (GKP) codes have shown great promise in enhancing the protection of both discrete and analog quantum information. This broadened range of protection brings opportunities beyond quantum computing to benefit quantum sensing by safeguarding squeezing — the essential resource in many quantum metrology protocols. However, the potential for quantum sensing to benefit quantum error correction has been less explored. In this work, we provide a unique example where techniques from quantum sensing can be applied to improve multi-mode GKP codes.
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27

Nimra, Bashir, Bashir Aqsa, Mehar-Un-Nisa3, et al. "Ultrathin Transition Metal Dichalcogenides for Quantum Sensing: Synthesis, Properties, and Prospects." Global Scientific and Academic Research Journal of Multidisciplinary Studies 3, no. 11 (2024): 15–20. https://doi.org/10.5281/zenodo.14049065.

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<em>Transition metal Dichalcogenides (TMDs), particularly in their monolayer and ultrathin forms, are emerging as significant materials in quantum sensing due to their distinct quantum attributes. This review delves into the synthesis methods, intrinsic characteristics, and transformative potential of TMDs within quantum sensing technology. Beginning with an overview of TMDs' structural and electronic properties, it covers advanced synthesis techniques vital for achieving high-quality monolayers. Key quantum traits, such as direct band gaps, excitonic behavior, and spin-valley coupling, are an
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28

KAWASAKI, Hideya. "Quantum Dot-based Fluorescent Sensing." Analytical Sciences 33, no. 9 (2017): 987–88. http://dx.doi.org/10.2116/analsci.33.987.

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29

Stray, Ben, Andrew Lamb, Aisha Kaushik, et al. "Quantum sensing for gravity cartography." Nature 602, no. 7898 (2022): 590–94. http://dx.doi.org/10.1038/s41586-021-04315-3.

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AbstractThe sensing of gravity has emerged as a tool in geophysics applications such as engineering and climate research1–3, including the monitoring of temporal variations in aquifers4 and geodesy5. However, it is impractical to use gravity cartography to resolve metre-scale underground features because of the long measurement times needed for the removal of vibrational noise6. Here we overcome this limitation by realizing a practical quantum gravity gradient sensor. Our design suppresses the effects of micro-seismic and laser noise, thermal and magnetic field variations, and instrument tilt.
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30

Waasem, Niklas, Helmut Fedder, and Patrick Maletinsky. "Technology leaps in quantum sensing." PhotonicsViews 18, no. 4 (2021): 36–39. http://dx.doi.org/10.1002/phvs.202100048.

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31

Pirandola, S., B. R. Bardhan, T. Gehring, C. Weedbrook, and S. Lloyd. "Advances in photonic quantum sensing." Nature Photonics 12, no. 12 (2018): 724–33. http://dx.doi.org/10.1038/s41566-018-0301-6.

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32

Baker, Christopher G., and Warwick P. Bowen. "Sensing past the quantum limit." Nature 547, no. 7662 (2017): 164–65. http://dx.doi.org/10.1038/547164a.

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33

Bin, Shang-Wu, Xin-You Lü, Tai-Shuang Yin, Gui-Lei Zhu, Qian Bin, and Ying Wu. "Mass sensing by quantum criticality." Optics Letters 44, no. 3 (2019): 630. http://dx.doi.org/10.1364/ol.44.000630.

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34

Lawrie, B. J., P. D. Lett, A. M. Marino, and R. C. Pooser. "Quantum Sensing with Squeezed Light." ACS Photonics 6, no. 6 (2019): 1307–18. http://dx.doi.org/10.1021/acsphotonics.9b00250.

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35

Callan, John F., A. P. Silva, R. C. Mulrooney, and B. Mc Caughan. "Luminescent Sensing with Quantum Dots." Journal of Inclusion Phenomena and Macrocyclic Chemistry 58, no. 3-4 (2006): 257–62. http://dx.doi.org/10.1007/s10847-006-9152-8.

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36

Plakhotnik, Taras. "Diamonds for quantum nano sensing." Current Opinion in Solid State and Materials Science 21, no. 1 (2017): 25–34. http://dx.doi.org/10.1016/j.cossms.2016.08.001.

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37

Majumdar, Sarangam, and Sukla Pal. "Quorum sensing: a quantum perspective." Journal of Cell Communication and Signaling 10, no. 3 (2016): 173–75. http://dx.doi.org/10.1007/s12079-016-0348-4.

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38

Richardson, Logan, Adam Hines, Andrew Schaffer, Brian P. Anderson, and Felipe Guzman. "Quantum hybrid optomechanical inertial sensing." Applied Optics 59, no. 22 (2020): G160. http://dx.doi.org/10.1364/ao.393060.

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39

Dzurak, Andrew. "Silicon integration for quantum sensing." Nature Electronics 2, no. 7 (2019): 266–67. http://dx.doi.org/10.1038/s41928-019-0278-2.

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40

Kobe, Katrin. "Robust, compact quantum sensors to deliver unprecedented precision." PhotonicsViews 21, no. 1 (2024): 33–35. http://dx.doi.org/10.1002/phvs.202400003.

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AbstractQuantum sensing may be less well known than quantum computing but its impact on our world may be just as significant. Quantum sensors promise accuracy 1,000 times greater than that provided by today's conventional sensors, opening up new applications in medicine, navigation and more. Quantum sensing is also closer to market readiness than quantum computing.
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41

Zhao, Yaoli, Patatri Chakraborty, Ali Passian, and Thomas Thundat. "Chemical Sensing Using Thermocouple Cantilevers: Pushing Toward Quantum Sensing." ECS Meeting Abstracts MA2024-02, no. 64 (2024): 4314. https://doi.org/10.1149/ma2024-02644314mtgabs.

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Detecting and quantifying minuscule quantities of chemicals with high molecular selectivity remains a measurement challenge. We present a photothermal spectroscopic method that exploits the Seebeck effect in a finely engineered nanoscale thermocouple junction at the apex of a microcantilever. The temperature variations driving this thermoelectric effect are induced by the nonradiative decay of molecular adsorbates, efficiently excited by a tunable infrared source. This approach not only benefits from an extremely small thermal mass and superior thermal insulation but also achieves an atto-gram
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42

Maluleke, Rodney, and Oluwatobi Samuel Oluwafemi. "Synthetic Approaches, Modification Strategies and the Application of Quantum Dots in the Sensing of Priority Pollutants." Applied Sciences 11, no. 24 (2021): 11580. http://dx.doi.org/10.3390/app112411580.

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Polycyclic aromatic hydrocarbons (PAHs) and nitro-aromatic compounds (NACs) are two classifications of environmental pollutants that have become a source of health concerns. As a result, there have been several efforts towards the development of analytical methods that are efficient and affordable that can sense these pollutants. In recent decades, a wide range of techniques has been developed for the detection of pollutants present in the environment. Among these different techniques, the use of semiconductor nanomaterials, also known as quantum dots, has continued to gain more attention in s
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43

Degen, C. L., F. Reinhard, and P. Cappellaro. "Quantum sensing." Reviews of Modern Physics 89, no. 3 (2017). http://dx.doi.org/10.1103/revmodphys.89.035002.

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44

Li, Tongcang, Ren‐bao Liu, and Chong Zu. "Quantum Sensing." Advanced Quantum Technologies 8, no. 4 (2025). https://doi.org/10.1002/qute.202500120.

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45

Kasai, Hiroto, Yuki Takeuchi, Hideaki Hakoshima, Yuichiro Matsuzaki, and Yasuhiro Tokura. "Anonymous Quantum Sensing." Journal of the Physical Society of Japan 91, no. 7 (2022). http://dx.doi.org/10.7566/jpsj.91.074005.

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46

Zhang, Zheshen, and Quntao Zhuang. "Distributed quantum sensing." Quantum Science and Technology, December 17, 2020. http://dx.doi.org/10.1088/2058-9565/abd4c3.

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47

Fan, Wenjiang, Benjamin J. Lawrie, and Raphael C. Pooser. "Quantum plasmonic sensing." Physical Review A 92, no. 5 (2015). http://dx.doi.org/10.1103/physreva.92.053812.

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48

Zheng, Peng, Steve Semancik, and Ishan Barman. "Quantum Plexcitonic Sensing." Nano Letters, October 11, 2023. http://dx.doi.org/10.1021/acs.nanolett.3c03095.

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49

Dalvit, D. A. R., T. J. Volkoff, Y. S. Choi, A. K. Azad, H. T. Chen, and P. W. Milonni. "Quantum Frequency Combs with Path Identity for Quantum Remote Sensing." Physical Review X 14, no. 4 (2024). https://doi.org/10.1103/physrevx.14.041058.

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Quantum sensing promises to revolutionize sensing applications by employing quantum states of light or matter as sensing probes. Photons are the clear choice as quantum probes for remote sensing because they can travel to and interact with a distant target. Existing schemes are mainly based on the quantum illumination framework, which requires quantum memory to store a single photon of an initially entangled pair until its twin reflects off a target and returns for final correlation measurements. Existing demonstrations are limited to tabletop experiments, and expanding the sensing range faces
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50

Wang, Ning, and Jianming Cai. "Hybrid quantum sensing in diamond." Frontiers in Physics 12 (February 14, 2024). http://dx.doi.org/10.3389/fphy.2024.1320108.

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Quantum sensing is a quantum technology for ultrasensitive detection, which is particularly useful for sensing weak signals at the nanoscale. Nitrogen vacancy centers in diamond, thanks to their superb quantum coherence under ambient conditions and the stability of the material in extreme and complicated environments, have been demonstrated as promising quantum probes in multi-parameter sensing. Their spin properties make them particularly sensitive to magnetic fields, but they are insensitive to temperature, electric field, pressure, etc., and even immune to some bio-parameters (e.g., pH and
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