Results 261 to 270 of about 13,417,881 (325)
Data assimilation errors due to incomplete accounting of balanced versus unbalanced moisture
We investigate data assimilation strategies with moisture and assess the impact of accounting for moisture's balanced and unbalanced components. To illustrate the main ideas, examples are presented using a simple model consisting of linear, moist, shallow‐water equations with stochastic forcing.
H. Reed Ogrosky+3 more
wiley +1 more source
The quantum gravity seeds for laws of nature. [PDF]
Lam V, Oriti D.
europepmc +1 more source
Unbiased calculation, evaluation, and calibration of ensemble forecast anomalies
Standard methods for calculating ensemble forecast anomalies result in statistical inconsistencies between forecast and verification anomalies, even if the underlying forecasts are perfectly reliable. An unbiased evaluation of anomaly‐based ensemble forecasts must account for differences in climatological sampling uncertainty between forecasts and ...
Christopher D. Roberts+1 more
wiley +1 more source
Exploring novel solitary wave phenomena in Klein-Gordon equation using ϕ 6 model expansion method. [PDF]
Madani YA+5 more
europepmc +1 more source
On quasi-integrable deformation scheme of the KdV system. [PDF]
Abhinav K, Guha P.
europepmc +1 more source
Magic spreading in random quantum circuits. [PDF]
Turkeshi X, Tirrito E, Sierant P.
europepmc +1 more source
Quantum Nonlinear Spectroscopy via Correlations of Weak Faraday‐Rotation Measurements
Quantum many‐body systems can have a rich structure of high‐order correlations. Conventional nonlinear spectroscopy can detect only a few types of correlation. A Faraday‐rotation‐based quantum sensing scheme is proposed to extract arbitrary types and orders of correlations, offering a new approach to studying quantum many‐body physics.
Brian Chung Hang Cheung, Ren‐Bao Liu
wiley +1 more source
Low-rank iterative infilling for zero echo-time (ZTE) imaging. [PDF]
Huo Z+4 more
europepmc +1 more source
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini+2 more
wiley +1 more source
Computational study of thin films made from the ferroelectric materials with Paul Painlevé approach and expansion and variational methods. [PDF]
Shao R+5 more
europepmc +1 more source