Article
Chemistry, Analytical
Samuel da Silva Oliveira, Bruno Motta de Carvalho, Marcio Eduardo Kreutz
Summary: This paper proposes a method of optimizing networks with irregular topologies using genetic algorithms, aiming to find networks that are optimized for average latency and percentage of real-time packets delivered within the deadline. The results show that networks have been found that can deliver all real-time packets, obtain acceptable latency values, and shrink the chip area.
Article
Multidisciplinary Sciences
Antti Ranni, Fredrik Brange, Elsa T. Mannila, Christian Flindt, Ville F. Maisi
Summary: Detecting the splitting of Cooper pairs in superconductors has been a challenge, but in this study, the authors successfully observed the real-time splitting of individual Cooper pairs in a superconducting device. By overcoming the challenge of accessing split Cooper pairs, the researchers were able to statistically analyze the correlation arising from two-electron processes with significant results. This breakthrough offers new possibilities for experiments involving the spin-entanglement of split Cooper pairs.
NATURE COMMUNICATIONS
(2021)
Article
Quantum Science & Technology
Sheng-Hsuan Lin, Rohit Dilip, Andrew G. Green, Adam Smith, Frank Pollmann
Summary: The current generation of noisy intermediate-scale quantum computers introduces new opportunities for studying quantum many-body systems. It is shown in this paper that quantum circuits can provide a more efficient representation of quantum states generated under nonequilibrium quantum dynamics compared to current classical numerics. By benchmarking algorithms on classical computers and implementing (classically optimized) gates on a quantum processing unit, the authors demonstrate the effectiveness of their algorithm in capturing real-time evolution.
Article
Computer Science, Software Engineering
Damien Rohmer, Marco Tarini, Niranjan Kalyanasundaram, Faezeh Moshfeghifar, Marie-Paule Cani, Victor Zordan
Summary: Secondary animation effects are important for creating lively animations. This method proposes a real-time solution for adding secondary animation effects on top of standard skinning, allowing for interactive control and stylization of skeletal motion. By combining specific velocity terms, cartoon-like squashy and floppy effects can be achieved, enhancing and stylizing physical-looking behaviors for arbitrary skinned characters in a standard animation pipeline.
COMPUTER GRAPHICS FORUM
(2021)
Article
Computer Science, Artificial Intelligence
Xiaowei Hu, Lei Zhu, Tianyu Wang, Chi-Wing Fu, Pheng-Ann Heng
Summary: Analyzing the visual effects of rain based on scene depth, a comprehensive rain imaging model was formulated considering both rain streaks and fog. Through a real-time end-to-end deep neural network, a dataset named RainCityscapes was prepared for real outdoor photos, achieving superior performance compared to other state-of-the-art methods in both visual and quantitative evaluations.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Editorial Material
Psychology, Biological
Shira Gabriel, Melanie C. Green, Esha Naidu, Elaine Paravati
Summary: Imaginary worlds fulfill the innate need for human beings to feel connected to others, providing a sense of social connection and protection against rejection and loneliness.
BEHAVIORAL AND BRAIN SCIENCES
(2022)
Article
Physics, Multidisciplinary
M. E. Stroeks, J. Helsen, B. M. Terhal
Summary: This paper examines the task of spectral estimation of local quantum Hamiltonians. It presents a classical Monte Carlo scheme and a quantum phase estimation scheme for efficient estimation of oscillation frequencies or decay rates. By comparing the efficiency of the two schemes, it highlights some opportunities and limitations.
NEW JOURNAL OF PHYSICS
(2022)
Article
Automation & Control Systems
Shize Lin, Chuxiong Hu, Suqin He, Wenxiang Zhao, Ze Wang, Yu Zhu
Summary: This article proposes a novel set invariant trajectory planning method to address the problem of real-time time-optimal planning for continuous multiaxis trajectories. The method is computationally efficient and maintains strict global time optimality.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Chemistry, Physical
Tao Xing, Tianchu Li, Yaming Yan, Shuming Bai, Qiang Shi
Summary: This study investigates the application of the imaginary time hierarchical equations of motion method for calculating real time quantum correlation functions. By deriving a new set of equations that decouple the imaginary time propagation and the calculation of auxiliary density operators, the calculation process is greatly simplified and different decomposition schemes can be explored. The applicability of the method is demonstrated through numerical examples.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Computer Science, Artificial Intelligence
Eduardo Alcain, Ana I. Munoz, Emanuele Schiavi, Antonio S. Montemayor
Summary: In this paper, a general non-smooth, non-local variational model is proposed and numerically solved for saliency detection in natural images. By formulating a convex energy minimization problem in feature space and employing a non-local primal-dual method, the computational complexity is significantly reduced while achieving high performance for real-time applications on both CPU and GPU platforms.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Shirin Rezasoltani, Leszek Szczecinski, Chadi Assi
Summary: In this study, we investigate the issue of semantics in non real-time communication scenarios and propose new definitions of timeliness and accuracy in non real-time applications. By comparing the semantic metrics under different buffer management strategies, we find that the optimality of transmission strategies differs between real-time and non real-time applications.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Huibin Tan, Xiang Zhang, Zhipeng Zhang, Long Lan, Wenju Zhang, Zhigang Luo
Summary: Nocal-Siam improves Siamese trackers by introducing two novel non-local blocks to address the sensitivity to distracters issue, and it performs favorably against well-behaved counterparts in both quantity and quality.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Physics, Multidisciplinary
Jiuyu Sun, Cheng-Wei Lee, Alina Kononov, Andre Schleife, Carsten A. Ullrich
Summary: Linear-response time-dependent density-functional theory (TDDFT) can accurately describe excitonic features in the optical spectra of insulators and semiconductors. By utilizing real-time TDDFT, it is possible to model excitons and study femtosecond exciton dynamics following short-pulse excitations, with potential extensions into the nonlinear regime.
PHYSICAL REVIEW LETTERS
(2021)
Article
Materials Science, Multidisciplinary
Suzana Miladic, Nenad Vukmirovic
Summary: We developed a path-integral quantum Monte Carlo-based methodology to calculate polaron mobility in systems with electron-phonon interaction. The method accurately calculates the current-current correlation function in both imaginary and real time. By using a specific representation for the path integral, we were able to overcome the sign problem and perform real-time calculations for longer times. The DC polaron mobility was determined by analytic continuation of real and imaginary-time data, and the method was applied to the Holstein polaron model in one dimension.
Article
Computer Science, Software Engineering
Tianye Lan, Furong Dou, Ziliang Feng, Chengfang Zhang
Summary: This paper introduces a fast non-local attention network (FNANet) for real-time semantic segmentation, which achieves a balance between segmentation accuracy and computational overhead by utilizing fast non-local attention modules and fusion modules.
Article
Physics, Multidisciplinary
D. Lonardoni, J. Carlson, S. Gandolfi, J. E. Lynn, K. E. Schmidt, A. Schwenk, X. B. Wang
PHYSICAL REVIEW LETTERS
(2018)
Article
Chemistry, Multidisciplinary
J. P. J. Chen, J. J. Donatelli, K. E. Schmidt, R. A. Kirian
ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES
(2019)
Review
Physics, Nuclear
Ingo Tews, Zohreh Davoudi, Andreas Ekstrom, Jason D. Holt, Joel E. Lynn
JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS
(2020)
Article
Microscopy
J. P. J. Chen, K. E. Schmidt, J. C. H. Spence, R. A. Kirian
Summary: The algorithm developed is capable of reconstructing a three-dimensional object from a collection of two-dimensional images significantly influenced by the curvature of the Ewald sphere, particularly useful in cryoelectron microscopy when larger samples, higher resolution, or lower energy electron beams are desired.
Article
Engineering, Electrical & Electronic
Farzad Faramarzi, Peter Day, Jacob Glasby, Sasha Sypkens, Marco Colangelo, Ralph Chamberlin, Mohammad Mirhosseini, Kevin Schmidt, Karl K. Berggren, Philip Mauskopf
Summary: The study describes a superconducting kinetic inductance qubit operating at W-band frequencies, which provides the anharmonicity required for two distinct quantum energy states. Operating the qubits at higher frequencies may reduce the dilution refrigerator temperature requirements for these devices and enable multiplexing a large number of qubits.
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY
(2021)
Article
Physics, Condensed Matter
Stefano Gandolfi, Georgios Palkanoglou, Joseph Carlson, Alexandros Gezerlis, Kevin E. Schmidt
Summary: In this study, we report ab initio calculations and quantum Monte Carlo simulations of the S wave pairing gap in neutron matter. Our results show a modest suppression of the pairing gap compared to mean-field values, and they have implications for cold atom experiments and the cooling of neutron stars.
Article
Chemistry, Multidisciplinary
B. R. Mobley, K. E. Schmidt, J. P. J. Chen, R. A. Kirian
Summary: This paper describes the modification of the EMC algorithm to use Metropolis Monte Carlo sampling for merging diffraction patterns with multiple missing parameters. Through comparison with the standard EMC algorithm, the effectiveness of this modification is demonstrated.
ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES
(2022)
Article
Physics, Nuclear
Rong Chen, Kevin E. Schmidt
Summary: This study presents a path-integral ground-state quantum Monte Carlo method for light nuclei in continuous space, demonstrating its efficiency in handling spin-isospin and spin-orbit interactions. The path-integral formulation allows straightforward calculation of operators that do not commute with the Hamiltonian, and Euclidean response functions, without the typical increase in variance seen in diffusion methods.
Article
Optics
Andrew S. H. Shevchuk, John C. H. Spence, Richard A. Kirian, William S. Graves, Kevin E. Schmidt
Summary: A semiclassical theory of incoherent diffractive imaging based on the Hanbury Brown and Twiss effect is proposed for imaging inner-shell x-ray fluorescence from heavy atoms excited by femtosecond pulses of an x-ray laser. The study demonstrates that compact XFELs with reduced flux but sub-femtosecond pulses are ideally suited for atomic-resolution three-dimensional mapping of heavy atoms in materials science, chemistry, and biology.
Article
Optics
Renato Pessoa, S. A. Vitiello, K. E. Schmidt
Article
Physics, Nuclear
Lucas Madeira, Stefano Gandolfi, Kevin E. Schmidt, Vanderlei S. Bagnato
Article
Physics, Nuclear
Lucas Madeira, Alessandro Lovato, Francesco Pederiva, Kevin E. Schmidt
Article
Physics, Nuclear
J. E. Lynn, I. Tews, J. Carlson, S. Gandolfi, A. Gezerlis, K. E. Schmidt, A. Schwenk
Article
Optics
Lucas Madeira, Stefano Gandolfi, Kevin E. Schmidt
Article
Physics, Nuclear
D. Lonardoni, S. Gandolfi, J. E. Lynn, C. Petrie, J. Carlson, K. E. Schmidt, A. Schwenk