Derives causal second-order relativistic MHD equations from kinetic theory for non-resistive and resistive two-component plasmas, predicting cyclotron-related oscillations in Bjorken flow.
DeMille, Phys
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A standardized pipeline converts time series to graphs, computes persistence diagrams, and extracts features that classify UCR benchmarks, with diffusion distance outperforming shortest-path metrics and performance varying by graph type.
Hybrid pulsed-CW architecture for optical quantum computation with experimental proof-of-principle of ultrafast homodyne detection on pulsed single-photon states yielding W(0,0) = -0.153.
A method strengthens Mermin-Klyshko-Bell inequalities beyond local bounds for entanglement detection in multipartite systems using coarsely calibrated measurements and derives trade-offs for separable versus general states.
A machine learning model based on atomic properties predicts diatomic dipole moments, screens the periodic table for the largest values, and condenses into an analytical expression.
Quantum teleportation using noisy top-quark pairs stays above the classical fidelity threshold of 2/3.
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What is the diatomic molecule with the largest dipole moment?
A machine learning model based on atomic properties predicts diatomic dipole moments, screens the periodic table for the largest values, and condenses into an analytical expression.