Blog
Emulazione della rete neurale profonda della transizione quantistica-classica tramite Dinamica della funzione Wigner appresa
The emergence of classical behavior from quantum mechanics as Planck’s constant $\hbar$ approaches zero remains a fundamental challenge in physics [1-3]. This paper introduces a novel approach employing deep neural networks to directly learn the dynamical mapping from initial quantum state parameters...
MPAD: Un nuovo metodo di riduzione delle dimensioni per preservare i vicini più vicini nella ricerca vettoriale ad alta dimensione
Gli incorporamenti di vettori ad alta dimensione sono ampiamente utilizzati nei sistemi di recupero, yet dimensionality reduction (DR) is seldom applied due to its tendency to distort nearest-neighbor (NN) struttura critica per la ricerca. Existing DR techniques such as PCA and UMAP optimize global or manifold-preserving criteria, rather...
Revisione del panorama sperimentale e teorico dell'elettrone trasporto in liquidi nobili
We present a review of the current experimental and theoretical understanding of electron transport in noble liquids. Special attention is given to recent measurements that coincide with the development of time projection chambers (TPCs) using liquid xenon and argon as detector media....
Array transitivo: Un efficiente acceleratore GEMM con riutilizzo dei risultati
Reti neurali profonde (DNN) e modelli linguistici di grandi dimensioni (LLM) have revolutionized artificial intelligence, yet their deployment faces significant memory and computational challenges, especially in resource-constrained environments. Quantization techniques have mitigated some of these issues by reducing data precision, primarily focusing on General...
Inferenza bayesiana in tempo reale su scala estrema: Un gemello digitale per L'allerta precoce per lo tsunami è stata applicata alla zona di subduzione della Cascadia
We present a Bayesian inversion-based digital twin that employs acoustic pressure data from seafloor sensors, along with 3D coupled acoustic-gravity wave equations, to infer earthquake-induced spatiotemporal seafloor motion in real time and forecast tsunami propagation toward coastlines for early warning with quantified...
Un efficiente metodo di posizionamento del sensore offline per la stima del flusso
We present an efficient method to optimize sensor placement for flow estimation using sensors with time-delay embedding in advection-dominated flows. Our solution allows identifying promising candidates for sensor positions using solely preliminary flow field measurements with non-time-resolved Particle Image Velocimetry (PIV), without...
Sistemi binari supermassicci nei solitoni di materia oscura ultraleggera
Ultraleggero (o sfocato) materia oscura (ULDM) is an alternative to cold dark matter. A key feature of ULDM is the presence of solitonic cores at the centers of collapsed halos. These would potentially increase the drag experienced by supermassive black hole (SMBH)...
Property-Preserving Hashing for $\ell_1$-Distance Predicates: Applicazioni per contrastare gli attacchi di input contraddittori
Perceptual hashing is used to detect whether an input image is similar to a reference image with a variety of security applications. Recentemente, they have been shown to succumb to adversarial input attacks which make small imperceptible changes to the input image...
Stati stazionari esatti e rilassamento indotto dalla frammentazione nel processo di esclusione semplice asimmetrico senza passaggio
We introduce a multi-species generalization of the asymmetric simple exclusion process (ASEP) con a “Divieto di passaggio” vincolo, forbidding overtaking, su una catena aperta unidimensionale. This no-passing rule fragments the Hilbert space into an exponential number of disjoint sectors labeled by the particle sequence,...
Quantizzazione hamiltoniana della teoria complessa di Chern-Simons al livello-$k$
This paper develops a framework for the Hamiltonian quantization of complex Chern-Simons theory with gauge group $\mathrm{SL}(2,\mathbb{C})$ at an even level $k\in\mathbb{Z}_+$. Our approach follows the procedure of combinatorial quantization to construct the operator algebras of quantum holonomies on 2-surfaces and develop...