Results 131 to 140 of about 562,872 (260)
Exploring Imprecise Probabilities in Quantum Algorithms with Possibility Theory
ABSTRACT Quantum computing utilizes the underlying principles of quantum mechanics to perform computations with unmatched performance capabilities. Rather than using classical bits, it operates on qubits, which can exist in superposition and entangled states. This enables the solution of problems that are considered intractable for classical computers.
Jan Schneider +2 more
wiley +1 more source
ABSTRACT Chemo‐mechanically coupled phenomena such as stress‐driven diffusion and diffusion‐induced stresses are of high interest, for example, in battery materials and metals. In this work, a chemo‐mechanically fully coupled multiphase‐field model for a multicomponent system is derived and validated with a sharp interface solution. Ensuring mechanical
Thea Kannenberg +3 more
wiley +1 more source
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 +3 more
wiley +1 more source
Qubit‐Efficient Quantum Local Search for Combinatorial Optimization
We introduce a qubit‐efficient variational quantum algorithm for combinatorial optimization that adaptively uses from logarithmic to a linear number of qubits to implement quantum local search. The method encodes flip probabilities of spin groups into quantum amplitudes, enabling exploration of classically intractable neighborhoods while maintaining ...
Mikhail Podobrii +4 more
wiley +1 more source
Simulating Quantum State Transfer Between Distributed Devices Using Noisy Interconnects
Noisy connections challenge future networked quantum computers. This work presents a practical method to address this by simulating an ideal state transfer over noisy interconnects. The approach reduces the high sampling cost of previous methods, an advantage that improves as interconnect quality gets better.
Marvin Bechtold +3 more
wiley +1 more source
Digital Twin Simulations Toolbox of the Nitrogen‐Vacancy Center in Diamond
The Nitrogen‐vacancy (NV) center in diamond is a key platform within quantum technologies. This work introduces a Python based digital‐twin of the NV, where the spin dynamics of the system is simulated without relying on commonly used approximations, such as the adoption of rotating frame. The digital‐twin is validated through three different examples,
Lucas Tsunaki +3 more
wiley +1 more source
ABSTRACT High‐dimensional omics data often exhibit complex yet organized dependencies, characterized by intelligent network properties like high modularity, small‐worldness characteristics, and scale‐free topology. However, integrating these structured interdependencies between omics variables into multivariate regression models presents challenges ...
Yifan Yang +5 more
wiley +1 more source
A. E. Sergeev +2 more
openaire +1 more source
Using genomic selection to examine subgenome dominance and epistasis in allopolyploid strawberry
Abstract Allopolyploids are organisms that possess multiple sets of chromosomes derived from distinct ancestral species, resulting in multiple subgenomes. Many important crops are allopolyploid, including wheat (Triticum aestivum), cotton (Gossypium hirsutum), coffee (Coffea arabica), and strawberry (Fragaria × ananassa).
Joshua A. Sleper +3 more
wiley +1 more source
The Functional Delta Method for Deriving Asymptotic Distributions
The distribution of the scaled difference between the plug‐in estimator Tθ̂n$$ T\left({\hat{\boldsymbol{\theta}}}_n\right) $$ and the true parameter Tθ0$$ T\left({\boldsymbol{\theta}}_0\right) $$ is approximated by the distribution of the scaled difference between θ̂n$$ {\hat{\boldsymbol{\theta}}}_n $$ and θ0$$ {\boldsymbol{\theta}}_0 $$ and a ...
Eric Beutner
wiley +1 more source

