Excited States of Coherent Harmonic Qubits With Long‐Range Photon Coupling and Dissipation
When N qubits are strongly coupled with photons in a cavity, they can condense into a ground state with negative energy gap. Some new information is found on coherent transitions among excited states of this system, by simulating them numerically for small N.
L. Gamberale, G. Modanese
wiley +1 more source
Microscopic Theory of Polaron-Polariton Dispersion and Propagation. [PDF]
Blackham L +3 more
europepmc +1 more source
Quasi‐invariance of Gaussian measures for the 3d$3d$ energy critical nonlinear Schrödinger equation
Abstract We consider the 3d$3d$ energy critical nonlinear Schrödinger equation with data distributed according to the Gaussian measure with covariance operator (1−Δ)−s$(1-\Delta)^{-s}$, where Δ$\Delta$ is the Laplace operator and s$s$ is sufficiently large. We prove that the flow sends full measure sets to full measure sets. We also discuss some simple
Chenmin Sun, Nikolay Tzvetkov
wiley +1 more source
Uncovering Relationships between the Electronic Self-Energy and Coupled-Cluster Doubles Theory. [PDF]
Coveney CJN.
europepmc +1 more source
Renormalization group flow in non-compact QED with two charged staggered Fermions [PDF]
Arifa Ali Khan, Arifa Ali Khan
openalex +1 more source
Impact of Endothelial Diversity and Dysfunction on Cardiovascular Disease
The vascular endothelium is highly diverse, regulating permeability, vascular tone, repair, and inter‐organ communication. Endothelial heterogeneity supports tissue‐specific needs, but dysfunction drives cardiovascular disease. Transcriptomics, in vitro models, and redox signaling studies reveal therapeutic targets for precision treatment of ...
Anna E. Williams +6 more
wiley +1 more source
Dynamical renormalization of the magnetic excitation spectrum via high-momentum nonlinear magnonics. [PDF]
Schönfeld C +11 more
europepmc +1 more source
Erratum: Renormalized site density functional theory (2021 J. Stat. Mech. 2021 033205)
Gennady N. Chuev +2 more
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Comonotonic‐Based Time Series Clustering With Constraints: A Review and a Conceptual Framework
ABSTRACT Time series clustering is a widely used unsupervised learning approach that identifies groups of similar time series to uncover hidden patterns in complex datasets. In recent years, this technique has gained traction in the analysis of geo‐referenced time series, where spatial information must be incorporated into the dissimilarity measure to ...
Alessia Benevento +2 more
wiley +1 more source

