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Relevant bibliographies by topics / Quantum-enhanced filtering

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Academic literature on the topic 'Quantum-enhanced filtering'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Quantum-enhanced filtering"

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Sindugatta Nagaraja, Prajwalasimha, Naveen Kulkarani, Raghavendra M. Ichangi, et al. "QEMF for spatial domain pre-processing in iris biometrics: advancing accuracy and efficiency in recognition systems." Bulletin of Electrical Engineering and Informatics 14, no. 3 (2025): 1959–68. https://doi.org/10.11591/eei.v14i3.9036.

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This article presents a Quantum-Enhanced Median Filtering (QEMF) method for spatial domain pre-processing in iris biometrics, designed to improve image denoising and recognition accuracy. Traditional median filtering often struggles with high noise density, leading to inconsistencies in the denoised image. Our approach enhances the median filtering process by integrating quantum-inspired principles with statistical measures, combining median and average values of neighboring pixels. This hybrid strategy preserves the structural integrity of the original image while effectively reducing noise.

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Xu, Rui, Lulu Huang, Jian Zhang, et al. "Nanostructured SnSe integrated with Se quantum dots with ultrahigh power factor and thermoelectric performance from magnetic field-assisted hydrothermal synthesis." Journal of Materials Chemistry A 7, no. 26 (2019): 15757–65. http://dx.doi.org/10.1039/c9ta03967h.

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Through magnetic field-assisted hydrothermal synthesis, high thermoelectric performance of SnSe is obtained due to Se quantum dots and smaller nano grains, leading to enhanced density of states and energy filtering effect.

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Ruiz, Virginia, Ana Pérez-Marquez, Jon Maudes, Hans-Jürgen Grande, and Nieves Murillo. "Enhanced photostability and sensing performance of graphene quantum dots encapsulated in electrospun polyacrylonitrile nanofibrous filtering membranes." Sensors and Actuators B: Chemical 262 (June 2018): 902–12. http://dx.doi.org/10.1016/j.snb.2018.02.081.

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4

BO, TAO, FU-LI LI, and YU FENG. "OMNIDIRECTIONAL FILTERING BASED ON ZERO-AVERAGED REFRACTIVE INDEX GAP IN PHOTONIC QUANTUM WELL STRUCTURES." Modern Physics Letters B 23, no. 25 (2009): 2943–53. http://dx.doi.org/10.1142/s021798490902103x.

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A photonic quantum well (PQW) structure based on the zero-averaged refractive index gap is constructed and the transmission properties are investigated. Quantized confined photonic states resulting from the photonic confinement effect are observed. We find that the resonant transmissions are not only weakly dependent on the incident angle but also insensitive to polarization of light. More importantly, the number of the confined photonic states can be controlled by simply adjusting the cell number of the well photonic crystal. It is shown that strong field localization is found when the well p

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Anitha, Mary C. "Second-order polynomial interpolation filters for image demosaicking with perceptual-based tone mapping and quantum-inspired optimization." i-manager's Journal on Information Technology 13, no. 4 (2024): 25. https://doi.org/10.26634/jit.13.4.21521.

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An innovative method for image demosaicking is introduced, leveraging perceptual-based tone mapping, secondorder polynomial interpolation filters, and Quantum-Inspired Optimization to achieve superior image reconstruction quality. The proposed approach integrates an Autoregressive Wavelet Water Optimization (WWO) algorithm to determine coefficients for second-order polynomial filters within the LPA-ICI framework. Simultaneously, a Deep Convolutional Neural Network (Deep CNN) is employed to generate residual images, capturing intricate features. The outputs of the interpolation-based method and

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Lin, Guoxiong, Yaodan Chi, Xinyu Ding, et al. "Wind-Speed Prediction in Renewable-Energy Generation Using an IHOA." Sustainability 17, no. 14 (2025): 6279. https://doi.org/10.3390/su17146279.

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Accurate wind-speed prediction plays an important role in improving the operation stability of wind-power generation systems. However, the inherent complexity of meteorological dynamics poses a major challenge to forecasting accuracy. In order to overcome these limitations, we propose a new hybrid framework, which combines variational mode decomposition (VMD) for signal processing, enhanced quantum particle swarm optimization (e-QPSO), an improved walking optimization algorithm (IHOA) for feature selection and the long short-term memory (LSTM) network, and which finally establishes a reliable

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Amorós-Binefa, Júlia, and Jan Kołodyński. "Noisy atomic magnetometry in real time." New Journal of Physics 23, no. 12 (2021): 123030. http://dx.doi.org/10.1088/1367-2630/ac3b71.

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Abstract Continuously monitored atomic spin-ensembles allow, in principle, for real-time sensing of external magnetic fields beyond classical limits. Within the linear-Gaussian regime, thanks to the phenomenon of measurement-induced spin-squeezing, they attain a quantum-enhanced scaling of sensitivity both as a function of time, t, and the number of atoms involved, N. In our work, we rigorously study how such conclusions based on Kalman filtering methods change when inevitable imperfections are taken into account: in the form of collective noise, as well as stochastic fluctuations of the field

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Ferreri, Alessandro, Matteo Santandrea, Michael Stefszky, et al. "Spectrally multimode integrated SU(1,1) interferometer." Quantum 5 (May 27, 2021): 461. http://dx.doi.org/10.22331/q-2021-05-27-461.

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Nonlinear SU(1,1) interferometers are fruitful and promising tools for spectral engineering and precise measurements with phase sensitivity below the classical bound. Such interferometers have been successfully realized in bulk and fiber-based configurations. However, rapidly developing integrated technologies provide higher efficiencies, smaller footprints, and pave the way to quantum-enhanced on-chip interferometry. In this work, we theoretically realised an integrated architecture of the multimode SU(1,1) interferometer which can be applied to various integrated platforms. The presented int

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Jiang, Jia-Huei, Ning-Yuan Lue, Feng-Wu Chen, and Yu-Shu G. Wu. "All-electrical valley filtering in graphene systems (II): Numerical study of electron transport in valley valves." Journal of Applied Physics 132, no. 16 (2022): 164302. http://dx.doi.org/10.1063/5.0114389.

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This work performs a numerical study of electron transport through the fundamental logic gate in valleytronics—a valley valve consisting of two or increasing number of valley filters. Various typical effects on the transport are investigated, such as those due to interface scattering, long- and short-range impurity scattering, edge roughness, strain, inter-filter spacing, or increasing number of valley filters. For illustration, we consider the class of specific valves built from graphene quantum wire valley filters in single layer or bilayer graphene, with the filters subject to separate cont

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Tsarev, Sergey, Daria Proniakova, Xuqi Liu, et al. "Vertically stacked monolithic perovskite colour photodetectors." Nature 642, no. 8068 (2025): 592–98. https://doi.org/10.1038/s41586-025-09062-3.

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Abstract Modern colour image sensors face challenges in further improving sensitivity and image quality because of inherent limitations in light utilization efficiency1. A major factor contributing to these limitations is the use of passive optical filters, which absorb and dissipate a substantial amount of light, thereby reducing the efficiency of light capture2. On the contrary, active optical filtering in Foveon-type vertically stacked architectures still struggles to deliver optimal performance owing to their lack of colour selectivity, making them inefficient for precise colour imaging3.

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Conference papers on the topic "Quantum-enhanced filtering"

1

A J, Dazzle, Shashank Singh, Dishant Naik, and Sujithra Kanmani R. "Advancing E-commerce Recommendations: A Comparative Study of BERT-Enhanced Collaborative Filtering and Alternative Approaches." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882202.

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Vineeshkumar, T. V., S. Prasanth, R. Pragash, N. V. Unnikrishnan, and C. Sudarsanakumar. "Structural, optical and enhanced power filtering application of PEG capped Zn1-xCoxS quantum dots." In DAE SOLID STATE PHYSICS SYMPOSIUM 2017. Author(s), 2018. http://dx.doi.org/10.1063/1.5028751.

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Dmitriev, Artemiy, Haixing Miao, Jiri Smetana, and Denis Martynov. "A table-top optical interferometer with shot-noise sensitivity enhanced by optomechanical phase-insensitive quantum filtering." In Quantum Sensing, Imaging, and Precision Metrology, edited by Selim M. Shahriar and Jacob Scheuer. SPIE, 2023. http://dx.doi.org/10.1117/12.2650385.

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Holló, Csaba Tamás, Tamás Sarkadi, Máté Galambos, et al. "Compact, Portable, Fiber-Coupled Correlated Photon Pair Source with Enhanced Performance." In Quantum 2.0. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/quantum.2022.qtu2a.18.

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Our recently published photon source has been enhanced in terms of robustness and spectral width. Thanks to a custom breadboard rigidity increased by 350%, due to 10nm spectral filtering the heralding ratio grew to 39%.

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Coscelli, E., F. Poli, T. T. Alkeskjold, M. Jorgensen, A. Cucinotta, and S. Selleri. "Enhanced thermal-effect resilience in distributed modal filtering large mode area photonic crystal fibers." In 2013 Conference on Lasers & Electro-Optics. Europe & International Quantum Electronics Conference (CLEO EUROPE/IQEC). IEEE, 2013. http://dx.doi.org/10.1109/cleoe-iqec.2013.6801370.

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Khodabakhsh, Amir, Lucile Rutkowski, Jerome Morville, Alexandra C. Johansson, Grzegorz Sobon та Aleksandra Foltynowicz. "Cavity-enhanced continuous-filtering vernier spectroscopy at 3.3 μm using a femtosecond optical parametric oscillator". У 2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC). IEEE, 2017. http://dx.doi.org/10.1109/cleoe-eqec.2017.8086857.

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