Results 161 to 170 of about 11,194,513 (228)
A Mathematical Analysis of IPT-DMFT. [PDF]
Cancès E, Kirsch A, Perrin-Roussel S.
europepmc +1 more source
Statistical Quantum Mpemba Effect From Griffiths Rare Regions
The statistical quantum Mpemba effect emerges robustly in disordered open quantum systems. Griffiths rare regions generate a hierarchy of relaxation times that simple extended Bloch states naturally probe, without requiring fine‐tuned initial states or detailed knowledge of the Liouvillian spectrum.
Stefano Longhi
wiley +1 more source
The Cross‐Kernel Margin: A Robustness Measure for Quantum Kernel Methods
The cross‐kernel margin is introduced as a robustness measure for Quantum Kernel‐Assisted Support Vector Machines. This metric evaluates a classifier learned from a perturbed kernel within the ideal, unperturbed kernel geometry. Derived stability bounds quantify the corresponding inverse squared‐margin deviation and are numerically tested under local ...
S. Govender, I. Sinayskiy
wiley +1 more source
Asymptotics of Symmetric Polynomials: A Dynamical Point of View. [PDF]
Guionnet A, Huang J.
europepmc +1 more source
Ultraviolet photoacoustic microscopy enables label‐free visualization of nuclear morphology in intact human brain organoids. By exploiting endogenous nucleic acid absorption at 266 nm, this approach resolves individual nuclei without staining or sectioning.
Hyunjun Kye +5 more
wiley +1 more source
Invariant Boltzmann-Shannon Entropy for Black-Holes: A Manifestly-Covariant Canonical Quantum-Gravity Approach. [PDF]
Cremaschini C +2 more
europepmc +1 more source
Abstract Quinoa (Chenopodium quinoa Willd.) is gaining global importance for its nutritional value and adaptability; however, breeding progress remains limited. Genomic selection (GS), combined with rapid generation cycles, offers a strategy to accelerate genetic improvement.
Clara S. Stanschewski +8 more
wiley +1 more source
Weak solutions to gradient flows of functionals with inhomogeneous growth in metric spaces. [PDF]
Górny W.
europepmc +1 more source
An Introduction to Stochastic Deep Learning
The stochastic neural network, formulated as a composition of linear, logistic, and nonlinear regression modules, serves both as a deep learning model and as an analytical device for studying the properties of deep learning. It broadens deep learning beyond prediction‐oriented function approximation into a richer framework for statistical inference ...
Faming Liang
wiley +1 more source
Varifold solutions to volume-preserving mean curvature flow: existence and weak-strong uniqueness. [PDF]
Poiatti A.
europepmc +1 more source

