Results 141 to 150 of about 41,558 (198)

Improving convection‐permitting all‐sky infrared radiance ensemble data assimilation through mitigating deleterious non‐Gaussian artifacts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Ensemble Kalman filters (EnKFs) with quality control (QC) are commonly used in the data assimilation (DA) of all‐sky satellite‐sensed infrared radiance (IR) observations. However, the statistical assumptions underlying EnKFs and QC are violated in such DA.
Man‐Yau Chan
wiley   +1 more source

Robust Confidence Intervals for Process Capability Index Based on Cost and Loss Functions With Bootstrap Enhancement

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Process capability indices (PCIs) are commonly used to evaluate a process's performance in relation to the standards. Greater PCIs do not necessarily translate into lower rejection rates, even though they do indicate a higher level of process quality. Thus, a loss‐ and cost‐based PCI is a better way to measure process capability.
Sanku Dey, Chanseok Park
wiley   +1 more source

Powerful Foldover Designs

Quality and Reliability Engineering International, EarlyView.
ABSTRACT The foldover technique for screening designs is well‐known to guarantee zero aliasing of the main effect estimators with respect to two‐factor interactions and quadratic effects. It is a key feature of many popular response surface designs, including central composite designs, definitive screening designs, and most orthogonal, minimally ...
Jonathan Stallrich, Rakhi Singh, Kyle Vogt‐Lowell, Fanxing Li   +3 more
wiley   +1 more source

Robust Inference for Intermittently‐Monitored Step‐Stress Tests Under Weibull Lifetime Distributions

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Many modern products exhibit high reliability under normal operating conditions. Conducting life tests under these conditions may result in very few observed failures, insufficient for accurate inferences. Instead, accelerated life tests (ALTs) must be performed.
Narayanaswamy Balakrishnan, María Jaenada, Leandro Pardo   +2 more
wiley   +1 more source

Statistical Complexity of Quantum Learning

Advanced Quantum Technologies, EarlyView.
The statistical performance of quantum learning is investigated as a function of the number of training data N$N$, and of the number of copies available for each quantum state in the training and testing data sets, respectively S$S$ and V$V$. Indeed, the biggest difference in quantum learning comes from the destructive nature of quantum measurements ...
Leonardo Banchi, Jason Luke Pereira, Sharu Theresa Jose, Osvaldo Simeone   +3 more
wiley   +1 more source

Probing Quantum Anomalous Heat Flow Using Mid‐Circuit Measurements

Advanced Quantum Technologies, EarlyView.
Using IBM's prototype quantum computers with mid‐circuit measurement capabilities, researchers caught heat flowing from a colder to a hotter qubit — impossible in everyday physics. This eye‐catching reversal, driven by quantum correlations between the qubits, doubles as a stress‐test for today's noisy hardware and a blueprint for future quantum ...
Aabhaas Vineet Mallik, Loris Maria Cangemi, Amikam Levy, Emanuele G. Dalla Torre   +3 more
wiley   +1 more source

Accreditation Against Limited Adversarial Noise

Advanced Quantum Technologies, EarlyView.
An upgraded accreditation (a variant of quantum verification) scheme is presented, significantly relaxing the assumptions, to allow adversarial noise, while preserving the suitability for near‐term / immediate usage. Abstract An accreditation protocol (a variety of quantum verification) is presented, where error is assumed to be adversarial (in ...
Andrew Jackson
wiley   +1 more source

Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics

Advanced Quantum Technologies, EarlyView.
Quantum algorithms for differential equations are developed with applications in computational fluid dynamics. The methods follow an iterative simulation framework, implementing Jacobi and Gauss–Seidel schemes on quantum registers through linear combinations of unitaries.
Chelsea A. Williams, Antonio A. Gentile, Vincent E. Elfving, Daniel Berger, Oleksandr Kyriienko   +4 more
wiley   +1 more source

Proper Implicit Discretization of Arbitrary‐Order Robust Exact Differentiators—Without and With Noise Filtering

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper considers the implicit Euler discretization of Levant's arbitrary order robust exact differentiator (RED) and Levant and Livne's arbitrary order robust exact filtering differentiator in the presence of sampled measurements.
Richard Seeber
wiley   +1 more source

Deadbeat Robust Model Predictive Control: Robustness Without Computing Robust Invariant Sets

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Deadbeat Robust Model Predictive Control (DRMPC) is introduced as a new approach of Robust Model Predictive Control (RMPC) for linear systems with additive disturbances. Its main idea is to completely extinguish the effect of the disturbances in the predictions within a small number of time steps, called the deadbeat horizon.
Georg Schildbach
wiley   +1 more source