Results 71 to 80 of about 590,145 (336)

Robust quantum correlations in out-of-equilibrium matter–light systems

open access: yesNew Journal of Physics, 2015
High precision macroscopic quantum control in interacting light–matter systems remains a significant goal toward novel information processing and ultra-precise metrology. We show that the out-of-equilibrium behavior of a paradigmatic light–matter system (
O L Acevedo   +3 more
doaj   +1 more source

Optimal superposition enhancement of a mixed state by stochastic diagonal superposition-free operations

open access: yesResults in Physics, 2022
The resource theory of superposition is a generalization of coherence theory. A rigorous framework for quantifying superposition of linear independent states has been given by previous studies.
Hai-Bo Xing
doaj   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Exponential Clustering of Bipartite Quantum Entanglement at Arbitrary Temperatures

open access: yesPhysical Review X, 2022
Many inexplicable phenomena in low-temperature many-body physics are a result of macroscopic quantum effects. Such macroscopic quantumness is often evaluated via long-range entanglement, that is, entanglement in the macroscopic length scale.
Tomotaka Kuwahara, Keiji Saito
doaj   +1 more source

Quantum Correlations in Biomolecules

open access: yesProcedia Chemistry, 2011
AbstractIn this paper we identify quantum entanglement, quantum discord and classical correlations as the main classes of correlations present in many body systems, such as biomolecules. We show how to witness the presene of entanglement and quantum discord. All witnesses can be accessed with simple measurements and implemented with current technology.
Vlatko Vedral, Vlatko Vedral
openaire   +2 more sources

Quantum Correlations and Secret Bits [PDF]

open access: yesPhysical Review Letters, 2005
4 pages, published ...
Acin, Antonio, Gisin, Nicolas
openaire   +5 more sources

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Coherently driven quantum features using a linear optics-based polarization-basis control

open access: yesScientific Reports, 2023
Quantum entanglement generation is generally known to be impossible by any classical means. According to Poisson statistics, coherent photons are not considered quantum particles due to the bunching phenomenon.
Byoung S. Ham
doaj   +1 more source

Monogamy of quantum correlations reveals frustration in a quantum Ising spin system: Experimental demonstration

open access: yes, 2013
We report a nuclear magnetic resonance experiment, which simulates the quantum transverse Ising spin system in a triangular configuration and further show that the monogamy of quantum correlations can be used to distinguish between the frustrated and non-
De, Aditi Sen   +5 more
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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