Results 81 to 90 of about 630 (239)

Sometimes Hot, Sometimes Not: The Relations Between Selected Situational Vocational Interests and Situation Perception

open access: yesEuropean Journal of Personality, EarlyView., 2020
Abstract Vocational interests are traditionally conceived as stable preferences for different activities. However, recent theorizing suggests their intraindividual variability. This preregistered experience sampling study examined intraindividual variation in selected vocational interests states and related situation and person factors (N = 237 ...
Lena Roemer   +3 more
wiley   +1 more source

Scales of Time Where the Quantum Discord Allows an Efficient Execution of the DQC1 Algorithm

open access: yesAdvances in Mathematical Physics, 2014
The power of one qubit deterministic quantum processor (DQC1) (Knill and Laflamme (1998)) generates a nonclassical correlation known as quantum discord.
M. Ávila, G. H. Sun, A. L. Salas-Brito
doaj   +1 more source

Interpreting quantum discord in quantum metrology

open access: yesJournal of Physics: Conference Series, 2015
Multipartite quantum systems show properties which do not admit a classical explanation. In particular, even nonentangled states can enjoy a kind of quantum correlations called quantum discord. I discuss some recent results on the role of quantum discord in metrology. Given an interferometric phase estimation protocol where the Hamiltonian is initially
openaire   +2 more sources

Entanglement Irreversibility from Quantum Discord and Quantum Deficit [PDF]

open access: yesPhysical Review Letters, 2011
Typos corrected. Improved figures.
Cornelio, Marcio F.   +2 more
openaire   +3 more sources

SPICE‐Compatible Compact Modeling of Cuprate‐Based Memristors Across a Wide Temperature Range

open access: yesAdvanced Electronic Materials, EarlyView.
A physics‐guided compact model for YBCO memristors is introduced, incorporating carrier trapping, field‐induced detrapping, and a differential balance equation to describe their switching dynamics. The model is compared with experiments and implemented in LTspice, allowing realistic circuit‐level simulations.
Thomas Günkel   +6 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Efficient Classical Simulation of the DQC1 Circuit with Zero Discord [PDF]

open access: yesQuantum
A path for efficient classical simulation of the DQC1 circuit that estimates the trace of an implementable unitary under the zero discord condition \cite{dakic2010necessary} is presented.
Shalin Jose   +2 more
doaj   +1 more source

Quantum correlations beyond entanglement in a classical-channel model of gravity

open access: yesScientific Reports, 2022
A direct quantization of the Newtonian interaction between two masses is known to establish entanglement, which if detected would witness the quantum nature of the gravitational field.
Federico Roccati   +6 more
doaj   +1 more source

Quantum Games and Quantum Discord

open access: yes, 2010
We quantize prisoners dilemma and chicken game by our generalized quantization scheme to explore the role of quantum discord in quantum games. In order to establish this connection we use Werner-like state as an initial state of the game. In this quantization scheme measurement can be performed in entangled as well as in product basis.
Nawaz, Ahmad, Toor, A. H.
openaire   +2 more sources

A practical electrodialysis model for accelerating system development

open access: yesAIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman   +3 more
wiley   +1 more source

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