Article
Astronomy & Astrophysics
Satadru Bag, Arman Shafieloo, Kai Liao, Tommaso Treu
Summary: Multiply imaged quasars can be identified using unresolved light curves, without prior knowledge or template assumption. Simulation and observational data demonstrate the effectiveness and accuracy of this method. The technique shows significant potential for identifying lensed quasars in wide-field imaging surveys.
ASTROPHYSICAL JOURNAL
(2022)
Article
Astronomy & Astrophysics
Ofer M. Springer, Eran O. Ofek
Summary: This study examines the phenomena in astrophysics that generate light curves with time delays, focusing on reverberation mapping and lensed quasars. By deriving the likelihood function of the observations, researchers can identify lensed quasars and measure their time delays, contributing to the understanding of active galactic nuclei.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Optics
Thomas Zacharias, Liran Hareli, Alon Bahabad
Summary: Slow and fast light refer to light pulses moving at group velocities slower or faster than the speed of light in vacuum. Different methods have been developed to achieve slow and fast light, with the latest involving superoscillations and weak measurements of arrival time, allowing for applications in various fields such as telecommunication, interferometry, and laser radars.
LASER & PHOTONICS REVIEWS
(2021)
Article
Astronomy & Astrophysics
Satadru Bag, Alex G. Kim, Eric V. Linder, Arman Shafieloo
Summary: Gravitationally lensed Type Ia supernovae can provide independent constraints on dark energy, spatial curvature, and the Hubble constant through measurements of time delays between multiple images. Upcoming time domain surveys are expected to detect hundreds of such systems, some of which will have images spatially unresolved.
ASTROPHYSICAL JOURNAL
(2021)
Article
Physics, Multidisciplinary
Lupei Qin, Luting Xu, Xin-Qi Li
Summary: We present a theoretical analysis for the metrology quality of joint weak measurements (JWMs), in close comparison with the weak-value-amplification technique. We point out that the difference probability function employed in the JWM scheme cannot be used to calculate the uncertainty variance and Fisher information (FI). In order to carry out the metrological precision, we reformulate the problem in terms of difference-combined stochastic variables, which makes all calculations well defined. We reveal that, in general, the metrological precision of the JWM scheme cannot reach that indicated by the total FI, despite that all the readouts are collected without discarding. We also analyze the effect of technical noise, showing that the technical noise cannot be removed by the subtracting procedure, which yet can be utilized to outperform the conventional measurement, when considering the imaginary weak value measurement.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2023)
Article
Astronomy & Astrophysics
Ofer M. Springer, Eran O. Ofek
Summary: The paper introduces a new method to identify lensed quasars and measure their time delays using unresolved galaxy images, even with small separations or low flux ratios. The method is demonstrated on simulated data and has the potential to be applied to real data in the future. The study provides Python and Matlab implementations for the proposed method.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Quantum Science & Technology
Pere Mujal, Rodrigo Martinez-Pena, Gian Luca Giorgi, Miguel C. C. Soriano, Roberta Zambrini
Summary: Time-series processing is a significant challenge in machine learning, which has made tremendous progress in tasks like speech recognition and chaotic series prediction in recent years. Quantum machine learning, with models like quantum neural networks and reservoir computing, presents a promising avenue for sequential data analysis. This work proposes different measurement protocols and evaluates their efficiency in terms of resources through theoretical predictions and numerical analysis. The study demonstrates that by exploiting the quantum characteristics of the reservoir, ideal performance can be achieved in memory and forecasting tasks using two successful measurement protocols. The findings establish the conditions for efficient time-series processing, paving the way for its implementation in various quantum technologies.
NPJ QUANTUM INFORMATION
(2023)
Article
Automation & Control Systems
Tandong Li, Shaobo Li
Summary: In this study, a dynamic event-triggered control strategy is proposed for n-link flexible-joint robots with prescribed tracking performance and time delays. The strategy includes the design of an adaptive fixed-time filter, the introduction of a given-time prescribed performance method, the design of an auxiliary system and Lyapunov-Krasovskii functionals, and the integration of neural networks to handle unknown dynamics. The effectiveness of the proposed scheme is confirmed through simulations.
Article
Economics
Xiao Fu, Yufan Zuo, Shanqi Zhang, Zhiyuan Liu
Summary: This paper proposes a new method for measuring space-time accessibility in individuals' joint activities considering travel time uncertainty. The results show significant differences between space-time accessibility to independent activities and joint activities under various on-time arrival probabilities.
Article
Multidisciplinary Sciences
Joshua Foo, Estelle Asmodelle, Austin P. Lund, Timothy C. Ralph
Summary: Bohmian mechanics is a nonlocal hidden-variable interpretation of quantum theory that predicts deterministic trajectories for particles in spacetime. This study proposes an approach to construct relativistic Bohmian-type velocity field and applies it to obtain relativistic spacetime trajectories of photons in a Michelson-Sagnac interferometer.
NATURE COMMUNICATIONS
(2022)
Article
Astronomy & Astrophysics
Nan Li, Christoph Becker, Simon Dye
Summary: This paper investigates the impact of line-of-sight structures on time-delay measurements in strong lensing systems and concludes that lens modelling must incorporate multiple-lens planes to accurately infer H-0.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Mathematics
Antanas Laurincikas
Summary: This paper investigates the approximation of a collection of analytic functions by shifts in the Riemann zeta-function and proves that the set of such shifts has a positive lower density.
Article
Computer Science, Artificial Intelligence
Chang Liu, Zhuo Wang, Renquan Lu, Tingwen Huang, Yong Xu
Summary: This paper studies the issue of finite-time state estimation for discrete-time Markovian bidirectional associative memory neural networks. It considers the asymmetrical system mode-dependent time-varying delays and uses a Markov chain to describe the inconstant measurement. A nonfragile estimator is designed to improve robustness and stochastically bounded stability is guaranteed under certain conditions. An example is provided to illustrate the effectiveness of the state estimation.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Physics, Multidisciplinary
Amjad Ashoorioon, Mohammad Bagher Jahani Poshteh, Robert B. Mann
Summary: This article discusses a method of observing the acceleration of supermassive black holes through gravitational lensing, and points out the significant difference in time delays between accelerating and non-accelerating black holes.
PHYSICAL REVIEW LETTERS
(2022)
Article
Biotechnology & Applied Microbiology
Jianxiong Yang, Jiajin Li, Zhihang Xiong, Wei Cui, Ran Bi, Ran Liao, Hui Ma
Summary: In this study, a new method was used to monitor the effect of chlorination treatment in real-time by measuring the polarization and fluorescence parameters of single Microcystis cells. The results showed that the PFPs changed significantly and had a strong correlation with the concentration of the chlorination agent. Additionally, a machine learning model was able to predict the proportion of dead cells at different concentrations.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2023)
Article
Physics, Multidisciplinary
Gaomin Tang, Christoph Bruder, Wolfgang Belzig
Summary: Superconductivity is usually destroyed by a magnetic field due to pair breaking, but spin-valley locking in a two-dimensional superconductor with spin-orbit interaction can make the superconducting state resilient to large magnetic fields. The interaction of in-plane magnetic field and Ising spin-orbit coupling results in noncollinear effective fields, leading to the emergence of mirage gaps in the spectrum. These mirage gaps are signatures of equal-spin triplet finite-energy pairing correlations and are sensitive to intervalley scattering.
PHYSICAL REVIEW LETTERS
(2021)
Article
Engineering, Electrical & Electronic
M. F. Ritter, N. Crescini, D. Z. Haxell, M. Hinderling, H. Riel, C. Bruder, A. Fuhrer, F. Nichele
Summary: Recent experiments have shown that superconductivity in metallic nanowires can be suppressed by applying a moderate gate voltage. This suppression is not due to the presence of electric fields at the nanowire surface, but rather requires the flow of high-energy electrons. The decay of these electrons into phonons, which propagate through the substrate and affect superconductivity, is the key factor in the suppression of superconductivity in nanowires.
NATURE ELECTRONICS
(2022)
Article
Quantum Science & Technology
Ryan Tan, Christoph Bruder, Martin Koppenhofer
Summary: This study focuses on the quantum synchronization of a single spin system driven by an external semi-classical signal, with spin numbers larger than S = 1. The interference-based quantum synchronization blockade is found to be qualitatively different for integer and half-integer spin numbers. The explanation lies in the interplay between the external signal and the limit cycle structure in generating coherence. Furthermore, the dissipative limit-cycle stabilization mechanism leads to different levels of quantum synchronization for integer and half-integer spins, but comparable levels can be achieved by choosing appropriate limit cycles.
Article
Materials Science, Multidisciplinary
Gaomin Tang, Raffael L. Klees, Christoph Bruder, Wolfgang Belzig
Summary: This study investigates a Josephson junction formed by proximitized Ising superconductors with ferromagnetic layers, leading to highly tunable spin-triplet pairing correlations and modulation of charge and spin supercurrents. The charge current can be switched by changing the alignment of the in-plane exchange fields, and a pi state can be achieved. Additionally, the charge and spin current-phase relations exhibit phi 0-junction behavior with a strongly spin-polarized FM barrier.
Article
Computer Science, Artificial Intelligence
Frank Schafer, Pavel Sekatski, Martin Koppenhofer, Christoph Bruder, Michal Kloc
Summary: In this study, we proposed an automated control scheme design framework based on differentiable programming and utilized neural networks as controllers to stabilize a quantum bit to a target state successfully.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Frank Schafer, Michal Kloc, Christoph Bruder, Niels Lorch
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
(2020)
Article
Physics, Multidisciplinary
Martin Koppenhofer, Christoph Bruder, Alexandre Roulet
PHYSICAL REVIEW RESEARCH
(2020)
Article
Physics, Multidisciplinary
Gaomin Tang, Wolfgang Belzig, Ulrich Zuelicke, Christoph Bruder
PHYSICAL REVIEW RESEARCH
(2020)
Article
Physics, Multidisciplinary
Martin Koppenhoefer, Christoph Bruder, Niels Loerch
PHYSICAL REVIEW RESEARCH
(2020)
Article
Physics, Multidisciplinary
Niels Lorch, Yaxing Zhang, Christoph Bruder, M. Dykman
PHYSICAL REVIEW RESEARCH
(2019)
Article
Materials Science, Multidisciplinary
Dante M. Kennes, Niclas Mueller, Mikhail Pletyukhov, Clara Weber, Christoph Bruder, Fabian Hassler, Jelena Klinovaja, Daniel Loss, Herbert Schoeller
Article
Materials Science, Multidisciplinary
M. Dykman, Christoph Bruder, Niels Loerch, Yaxing Zhang
Article
Materials Science, Multidisciplinary
Tibor Sekera, Christoph Bruder, Rakesh P. Tiwari
Article
Materials Science, Multidisciplinary
Dmitri V. Averin, Christoph Bruder
Article
Quantum Science & Technology
Niels Lorch, Christoph Bruder, Nicolas Brunner, Patrick P. Hofer
QUANTUM SCIENCE AND TECHNOLOGY
(2018)
