Article
Mechanics
Xiaoling Jin, Zhanchao Huang, Yong Wang, Zhilong Huang, Isaac Elishakoff
Summary: Canonical equations are crucial in various fields of physics and mathematics. This study focuses on automatically extracting canonical equations from random state data, without the need for additional system information or excitations. The identification procedure involves nested optimization, identifying momentum (density) functions and energy (density) functions simultaneously. The procedure shows high accuracy, requires minimal data, and is robust to excitations and dissipation. It serves as a filter, retaining conservative information and filtering out nonconservative information, making it especially useful for systems with unobtainable excitations.
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME
(2023)
Article
Computer Science, Information Systems
Jiacheng Liu, Feilong Tang, Yanmin Zhu, Jiadi Yu, Long Chen, Ming Gao
Summary: This paper presents a novel approach INFER that extracts uncertain rules from human knowledge to enhance model performance.
INFORMATION SCIENCES
(2023)
Article
Physics, Multidisciplinary
Arunava Majumder, Harshank Shrotriya, Leong-Chuan Kwek
Summary: Quantum metrology is important in overcoming standard precision limits, with the Heisenberg uncertainty principle imposing constraints on measurement precision. Quantum strategies such as squeezing and entanglement can surpass conventional bounds like the shot noise limit. The concept of bipartite entangled quantum states with a positive partial transpose and bound entangled states are discussed, highlighting their differences in quantum state properties.
Article
Physics, Multidisciplinary
Rui Qu, Yunlong Wang, Min An, Feiran Wang, Quan Quan, Hongrong Li, Hong Gao, Fuli Li, Pei Zhang
Summary: Through experiments, we have demonstrated the stronger correlations and better noise robustness of high-dimensional quantum systems, and shown a method to enhance noise resistance by increasing measurement settings without increasing dimension.
PHYSICAL REVIEW LETTERS
(2022)
Article
Quantum Science & Technology
Kyung Hoon Han, Seung-Hyeok Kye
Summary: In this note, criteria for three-qubit partially entangled states arising from distributive rules are provided, along with corresponding witnesses. The criteria are given in terms of diagonal and anti-diagonal entries, characterizing partial entanglement completely when all entries are zero except for diagonal and anti-diagonal entries. Important states like Greenberger-Horne-Zeilinger diagonal states fall under this category.
QUANTUM INFORMATION PROCESSING
(2021)
Article
Environmental Sciences
James V. Carretta, Allison G. Henry
Summary: Entanglements and vessel strikes have a significant impact on large whales worldwide. This study uses the Random Forest classification tree model to classify the health status of right whales and humpback whales after entanglements and vessel strikes. The model achieves high accuracy in predicting the post-event health status of whales, and identifies important predictor variables for injury assessment. The RF method has advantages in risk modeling and data collection standards.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Yingshan Shen, Zhitao Luo, Muxin Xu, Zhihao Liang, Xiaomao Fan, Xiaohe Lu
Summary: Retinopathy of Prematurity (ROP) is a potentially blinding eye disease that primarily occurs in premature infants. This study proposes a lightweight TR-ROP detection neural network trained with knowledge distilling from a multi-stream fusion neural network based on early-stage fundus images. Experimental results show that the proposed network achieves promising accuracy, sensitivity, and specificity in ROP and TR-ROP detection, surpassing existing state-of-the-art methods.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Materials Science, Multidisciplinary
Y. Mohdeb, J. Vahedi, S. Kettemann
Summary: Studied entanglement entropy scaling of excited states in random spin systems, revealing a delocalization transition in the energy spectrum, and showing different growth behaviors of EE for various parameters, leading to interesting conclusions on systems with power-law interactions.
Article
Water Resources
Auguste Gires, Ioulia Tchiguirinskaia, Daniel Schertzer
Summary: Despite limitations, a new extension method based on the parsimonious framework of universal multifractals is suggested to address scale issues in geosciences. The method smooths the increments at each cascade step through a geometrical moving average, preserving simplicity and intuitiveness while overcoming non-stationarity features. The numerical simulations show that the expected multifractal behavior is retrieved for typical rainfall parameters. A new algorithm is developed to generate the missing half of multifractal fields in various dimensions, tested on rainfall fields and simulations, and discussed for potential applications in hydro-meteorological extremes nowcasting.
HYDROLOGICAL SCIENCES JOURNAL
(2023)
Article
Engineering, Industrial
Guilherme A. Veloso, Rosangela H. Loschi
Summary: General path models are commonly used to model degradation data, assuming a common functional form for all populations. A dynamic linear degradation model is proposed in this study to address irregular evolution of degradation paths over time, allowing for varying baseline and rate of degradations. Results show that this proposed model is competitive and useful for representing degradation data with varying shapes of degradation paths.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Physics, Multidisciplinary
Dongyang Wang, Junjie Wu, Jiangfang Ding, Yingwen Liu, Anqi Huang, Xuejun Yang
Summary: The research explores the summation of extractable information of a quanton's wave and particle properties in superposition state, showing a violation of the relation between the two in quantum superposition. However, the relation still holds when considering quantum coherence C. Experimental verification indicates that the full-particle property is observed when the quantum which-path detector is partially present.
Article
Automation & Control Systems
Dimitris Boskos, Jorge Cortes, Sonia Martinez
Summary: Distributional ambiguity sets provide quantifiable ways to characterize uncertainty about the true probability distribution of random variables, making them essential for data-driven robust optimization. This article explores the construction of Wasserstein ambiguity sets in dynamic scenarios, leveraging assimilated samples for inferences. The study provides sufficient conditions relating trajectory growth and sampling rate, establishing a reduction of ambiguity set size as the horizon increases.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Computer Science, Information Systems
Yichen Huang
Summary: The study reveals that for any geometrically local Hamiltonian on a lattice, the entanglement entropy is likely to be bounded away from the maximum entropy at all times with a random product state. In a spin-glass model with random all-to-all interactions, regardless of the initial state, the average entanglement entropy remains bounded away from the maximum entropy at all times. These findings highlight the difference in entanglement generation between (chaotic) Hamiltonian dynamics and random states, as the latter approaches maximum.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Computer Science, Artificial Intelligence
Bin Liao, Fangyi Wan, Yi Hua, Ruirui Ma, Shenrui Zhu, Xinlin Qing
Summary: This paper proposes a modified RRT* algorithm, F-RRT*, which optimizes the cost of paths by creating a parent node for the random point. This results in a better initial solution and faster convergence rate compared to RRT*, demonstrating higher performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Chemistry, Analytical
Cheng-Ming Huang, Shu-Hsien Hsu
Summary: This paper presents an efficient algorithm for path planning for microrobots in narrow passage environments using bidirectional RRT and image processing techniques. The proposed algorithm quickly generates paths suitable for narrow passages.
Article
Materials Science, Multidisciplinary
Larissa Vertchenko, Lorenzo Leandro, Evgeniy Shkondin, Osamu Takayama, Igor Bondarev, Nika Akopian, Andrei Lavrinenko
OPTICAL MATERIALS EXPRESS
(2019)
Review
Physics, Mathematical
J. Avron, O. Kenneth
REVIEWS IN MATHEMATICAL PHYSICS
(2020)
Article
Multidisciplinary Sciences
Larissa Vertchenko, Nika Akopian, Andrei V. Lavrinenko
SCIENTIFIC REPORTS
(2019)
Article
Multidisciplinary Sciences
L. Leandro, R. Reznik, J. D. Clement, J. Repan, M. Reynolds, E. Ubyivovk, I. Shtrom, G. Cirlin, N. Akopian
SCIENTIFIC REPORTS
(2020)
Article
Multidisciplinary Sciences
Jacob Hastrup, Lorenzo Leandro, Nika Akopian
SCIENTIFIC REPORTS
(2020)
Article
Quantum Science & Technology
Lorenzo Leandro, Jacob Hastrup, Rodion Reznik, George Cirlin, Nika Akopian
NPJ QUANTUM INFORMATION
(2020)
Article
Chemistry, Multidisciplinary
Rodion R. Reznik, George E. Cirlin, Konstantin P. Kotlyar, Igor V. Ilkiv, Nika Akopian, Lorenzo Leandro, Valentin V. Nikolaev, Alexey V. Belonovski, Mikhail A. Kaliteevski
Summary: Control of emission directionality plays a crucial role in the development of novel nanophotonic devices based on nanowires. In this study, we demonstrate highly directional light emissions near 800 nm wavelength from core-shell AlGaAs nanowires with GaAs quantum dots, despite inefficient emission into waveguided modes. Experimental measurements show significantly higher emission intensity around the axis of the nanowire compared to perpendicular directions, suggesting that axial electric dipole transitions in quantum dots contribute to directional emissions.
Article
Physics, Applied
Dan Cogan, Giora Peniakov, Oded Kenneth, Yaroslav Don, David Gershoni
Summary: This method utilizes quantum dots to generate spin-multiphoton states, measures the polarization of both spin and photons through time-resolved polarization-sensitive multiphoton correlation measurements, and uses a gradient-descent algorithm to map the periodic physical process that generates the entangled state. The study shows that the enhanced generation rate improves the entanglement robustness of the generated multiqubit state.
PHYSICAL REVIEW APPLIED
(2022)
Article
Chemistry, Multidisciplinary
Daniele Barettin, Igor V. Shtrom, Rodion R. Reznik, Sergey V. Mikushev, George E. Cirlin, Matthias Auf der Maur, Nika Akopian
Summary: We conducted a study on Wurtzite AlGaAs using both experimental and numerical methods, and found that it is a technologically promising yet unexplored material. By developing a complete numerical model based on an 8-band (k) over right arrow center dot(p) over right arrow method, including electromechanical fields, we calculated the optoelectronic properties of wurtzite AlGaAs nanowires with different Al content and compared them with experimental data. Our results strongly indicate that wurtzite AlGaAs is a direct band gap material. Additionally, we numerically obtained the band gap of wurtzite AlAs and the valence band offset between AlAs and GaAs in the wurtzite symmetry.
Article
Optics
Dan Cogan, Zu-En Su, Oded Kenneth, David Gershoni
Summary: Entanglement between particles is crucial for quantum technology, and entanglement between light particles is particularly important for quantum communication. The generation of entangled multiphoton cluster states is essential for communication between quantum nodes. In this study, a multi-indistinguishable photon cluster is generated from a quantum dot with a continuously generated string of photons at deterministic rates and an optimized entanglement length of about ten photons. The indistinguishability of the photons opens up new possibilities for scaling up the cluster's dimensionality by fusion.
Article
Materials Science, Multidisciplinary
Dan Cogan, Zu-En Su, Oded Kenneth, David Gershoni
Summary: We experimentally and theoretically investigate the temporal evolution of the spin of the conduction band electron and that of the valence band heavy hole in the same semiconductor quantum dot. Using all-optical pulse techniques, we measure the total spin purity as a function of time after initialization and study its complex temporal oscillations in the presence of a weak externally applied magnetic field. Our findings contribute to the design and optimization of quantum-dot-spin-based entangled multiphoton sources.
Article
Optics
J. Avron, Ofer Casper, Ilan Rozen
Summary: Distributed quantum computing can reduce noise and still exhibit quantum advantage in certain algorithms. However, some algorithms may have higher complexity in a distributed environment.
Article
Materials Science, Multidisciplinary
Jonatan Zimmermann, Paz London, Yaniv Yirmiyahu, Fedor Jelezko, Aharon Blank, David Gershoni
Article
Materials Science, Multidisciplinary
G. Peniakov, Z-E Su, A. Beck, D. Cogan, O. Amar, D. Gershoni
Article
Materials Science, Multidisciplinary
Dan Cogan, Giora Peniakov, Zu-En Su, David Gershoni
