Article
Physics, Multidisciplinary
Wei Cui, Yang Yang
Summary: This study uses machine learning techniques to define a measure for the degree of non-commuting behavior of quantum measurements, and constructs measurement strength effect and angle effect between two observables using K-means clustering method. The rationality of the measure is demonstrated and its application in obtaining physically realizable measurement limitation is presented. This work contributes to the understanding of quantum non-commuting measurements and quantum control theory.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Saumya Patel, Ankita Vaish
Summary: This paper introduces an optimization algorithm for generating the measurement matrix (MM) of compressive sensing (CS) based on Restricted Isometric Property (RIP). The algorithm reduces the eigenvalues of the sensing matrix through SVD decomposition, thus reducing the operational complexity. Experimental results and analysis show that the optimized MM effectively reduces the mutual coherence between the MM and the sparsifying basis, outperforming some state-of-the-art works.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2023)
Article
Computer Science, Artificial Intelligence
Mehmet Yamac, Ugur Akpinar, Erdem Sahin, Moncef Gabbouj, Serkan Kiranyaz
Summary: Efforts in compressive sensing (CS) literature can be categorized into finding a measurement matrix that preserves compressed information effectively and finding a reliable reconstruction algorithm. While traditional CS methods use random matrices and iterative optimizations, recent deep learning-based solutions accelerate recovery and improve accuracy. However, jointly learning the entire measurement matrix remains challenging. This work introduces a separable multi-linear learning method for the CS matrix, which improves performance compared to block-wise CS, especially at low measurement rates.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2023)
Article
Optics
Lan Jiang, Zhenhua Li, Tao Li
Summary: We propose a nonlocal generalized quantum measurement protocol for measuring product observables using a meter in a mixed entangled state. By tuning the entanglement of the meter, arbitrary measurement strength can be achieved for nonlocal product observables. Furthermore, we present a specific scheme to measure the polarization of two nonlocal photons using linear optics. This protocol is useful for applications involving nonlocal product observables and nonlocal weak values, and for testing quantum foundations in nonlocal scenarios.
Article
Optics
Yufang Chen, Zhixin Liu
Summary: This paper studies power quality detection and synchrophasor measurement based on compressive sensing technology. It simplifies the DFT calculation amount using the RDFT recursive formula and calculates the system frequency by fitting the phase angle sequence using the least squares estimation method. It achieves accuracy in high frequency and phase angle detection and linear measurement of the signal by using the Gaussian random measurement matrix, obtaining compressed sensing signal. The experimental data statistics show that the proposed model has a good effect.
Article
Physics, Multidisciplinary
Ya-Li Mao, Hu Chen, Chang Niu, Zheng-Da Li, Sixia Yu, Jingyun Fan
Summary: This paper reports the first experimental study of MURs of three quantum observables and proposes a novel implementation method. The exact value of the incompatibility measure and the optimal measurements are determined using a numerical method, and several experimental demonstrations are conducted using a single-photon qubit. Besides, it is theoretically shown that MURs for joint measurement can be attained by sequential measurements in certain cases.
PHYSICAL REVIEW LETTERS
(2023)
Article
Acoustics
Arijit Sinharay, Raj Rakshit, Supriya Gain, Subhadeep Basu, A. Anil Kumar, Tapas Chakravarty
Summary: Quick quality assessment of fluid is important for many industries. Swept Frequency Acoustic Interferometry (SFAI) is a noninvasive technique for measuring acoustic parameters of fluid from outside the container walls. In this work, we focused on assessing sound speed in liquid through SFAI and achieved 25 times faster scanning speed compared to standard SFAI measurements, while significantly reducing the volume of data to be processed on a daily basis.
Article
Computer Science, Information Systems
Jirayu Peetakul, Yibo Fan, Jinjia Zhou
Summary: Block-based compressive image sensor (BCIS) captures light and represents them as compressed data called measurement. In this study, an intra prediction based measurement coding algorithm is introduced to improve compression performance. The algorithm reduces bitrate significantly and increases peak signal-to-noise ratio effectively by utilizing a structural sensing matrix.
Article
Engineering, Electrical & Electronic
Haoning Sun, Hui Deng, Ping Meng, Senlin Wang, Yiting Shuai, Qiang Gao
Summary: In this article, a subwavelength planar microwave sensor is proposed for simultaneous measurement of thickness and permittivity of a dielectric sheet. By adding the coupling effect between the circular complementary spiral resonators, the sensitivity of the sensor is improved.
IEEE SENSORS JOURNAL
(2022)
Article
Optics
Jingjing Cai, Aijun Wen, Panpan Li, Hao Zhuo, Wu Zhang, Yang-Yang Dong
Summary: In this paper, an instantaneous photonic frequency measurement approach based on chromatic dispersion and compressive sensing is proposed for frequency measurement of microwave signals in a wide band range. The relationship between power ratio and frequency is nonlinear and least square matching is not optimal, therefore compressive sensing is used to achieve better frequency measurement. Experimental results show that the proposed optical system achieves frequency measurement error within +/- 0.09 GHz in the frequency range of 6 to 30 GHz, except for about 8% frequencies with extremely large or small power ratios, which is much better than least square matching.
OPTICS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Sameh Ghanem
Summary: This paper introduces a proposed adaptive compressive measurement method for decoding frequency-hopping receivers, enhancing detection performance of received frequencies and decoding accuracy. The proposed method effectively recovers transmitted symbols by relying on the instantaneous sparsity of the spectra of FHSS signals.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2021)
Article
Physics, Nuclear
Mary Cody, Sean Gavin, Brendan Koch, Mark Kocherovsky, Zoulfekar Mazloum, George Moschelli
Summary: Two-particle correlations are used to study relativistic nuclear collisions, and multiplicity fluctuations comparing charge and particle species can be a potential signal for quark-gluon plasma and the QCD critical point. Momentum correlations and covariances of momentum fluctuations can extract properties of the nuclear collision medium, and searches for critical fluctuations are done using these observables. A mathematical relationship between number and momentum density correlation observables is derived, and it can be used to validate measurements, interpret the contributions of different physics mechanisms, and test theoretical and phenomenological models.
Article
Optics
Chao Jiang, Gentaro Watanabe
Summary: In this study, we propose a new scheme to generate a pure ideal quadrature-squeezed state in a one-dimensional harmonic oscillator system by measuring noncommutative quadrature observables. By appropriately setting the strengths of measurement and feedback control, the pure ideal quadrature-squeezed state with arbitrary squeezedness can be produced.
Article
Engineering, Electrical & Electronic
Marc Andrew Valdez, Alex J. Yuffa, Michael B. Wakin
Summary: In this paper, we prove a compressive sensing guarantee on the rotation group by defining Slepian functions on a measurement sub-domain and transforming the inverse problem to the Slepian functions. By requiring measurements on a select-able sub-domain, our approach provides higher accuracy and reduces the number of measurements compared to other methods using Wigner D-functions. Numerical examples demonstrate the superiority of our method in reconstruction quality.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Jian Zhao, Yong Zhao, Ri-Qing Lv, Xue-Gang Li, Cheng-Liang Zhu, Qiang Zhao
Summary: The ring-shaped sensor utilizes a polymer coated no-core fiber for simultaneous temperature and pressure measurements. By adjusting the NCF size and ring-shaped structure diameter, the sensor's performance can be modified, showing potential for a wider range of seawater parameter measurements.
IEEE SENSORS JOURNAL
(2021)
Article
Optics
James Schneeloch, Samuel H. Knarr, Gregory A. Howland, John C. Howell
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS
(2015)
Article
Physics, Multidisciplinary
Gregory A. Howland, Samuel H. Knarr, James Schneeloch, Daniel J. Lum, John C. Howell
Article
Multidisciplinary Sciences
Jeffrey A. Steidle, Michael L. Fanto, Stefan F. Preble, Christopher C. Tison, Gregory A. Howland, Zihao Wang, Paul M. Alsing
JOVE-JOURNAL OF VISUALIZED EXPERIMENTS
(2017)
Article
Multidisciplinary Sciences
James Schneeloch, Christopher C. Tison, Michael L. Fanto, Paul M. Alsing, Gregory A. Howland
NATURE COMMUNICATIONS
(2019)
Article
Physics, Applied
David J. Starling, Jacob Poirier, Michael Fanto, Jeffrey A. Steidle, Christopher C. Tison, Gregory A. Howland, Stefan F. Preble
PHYSICAL REVIEW APPLIED
(2020)
Article
Physics, Multidisciplinary
James Schneeloch, Richard J. Birrittella, Christopher C. Tison, Gregory A. Howland, Michael L. Fanto, Paul M. Alsing
Summary: In this work, a method is proposed to quantify genuine tripartite entanglement in continuous-variable states, and its effectiveness is demonstrated through an example.
PHYSICAL REVIEW RESEARCH
(2022)
Proceedings Paper
Education, Scientific Disciplines
Sajan Saini, Stefan Preble, Milos Popovic, Jaime Cardenas, Alan Kost, Erik Verlage, Gregory Howland, Lionel C. Kimerling
FIFTEENTH CONFERENCE ON EDUCATION AND TRAINING IN OPTICS AND PHOTONICS (ETOP 2019)
(2019)
Proceedings Paper
Education, Scientific Disciplines
Samuel Serna, Nancy Hidalgo, Janice Tjan, Kevin McComber, Lionel Kimerling, Erik Verlage, Julie Diop, Juejun Hu, Sajan Saini, Anu Agarwal, Gerald Gagnon, Stefan Preble, Gregory Howland, Matthew van Niekerk, Jeff Steidle, Karl Mcnulty, Jaime Cardenas, Meiting Song, Milos Popovic, Anatoly Khilo, Pradnya Nagarkar, Farhad Vazehgoo, Ira Moskowitz, Guiru Gu, Cheryl Schnitzer, Edward Deveney, Thomas Kling, Douglas Petkie, Jacob Longacre
FIFTEENTH CONFERENCE ON EDUCATION AND TRAINING IN OPTICS AND PHOTONICS (ETOP 2019)
(2019)
Article
Optics
James Schneeloch, Gregory A. Howland
Proceedings Paper
Engineering, Electrical & Electronic
Z. Vernon, M. Menotti, C. C. Tison, J. A. Steidle, M. L. Fanto, P. M. Thomas, S. F. Preble, G. A. Howland, A. M. Smith, P. M. Alsing, M. Liscidini, J. E. Sipe
2017 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)
(2017)
Article
Optics
David J. Starling, Ian Storer, Gregory A. Howland
Proceedings Paper
Engineering, Electrical & Electronic
Samuel H. Knarr, Gregory A. Howland, James Schneeloch, Daniel J. Lum, John C. Howell
2015 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
James Schneeloch, Samuel H. Knarr, Gregory A. Howland, John C. Howell
QUANTUM INFORMATION AND COMPUTATION XIII
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
Gregory A. Howland, James Schneeloch, Daniel J. Lum, Samuel H. Knarr, John C. Howell
QUANTUM INFORMATION AND COMPUTATION XIII
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
Michael L. Fanto, Christopher C. Tison, Gregory A. Howland, Stefan F. Preble, Paul M. Alsing, A. Matthew Smith
QUANTUM INFORMATION AND COMPUTATION XIII
(2015)