Blog
Deep Neural Network Emulation des quantenklassischen Übergangs über Erlernte die Dynamik der Wigner-Funktion
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: Eine neue Dimensionsreduktionsmethode zur Erhaltung der nächsten Nachbarn in der hochdimensionalen Vektorsuche
Hochdimensionale Vektoreinbettungen werden häufig in Retrieval-Systemen verwendet, yet dimensionality reduction (DR) is seldom applied due to its tendency to distort nearest-neighbor (NN) Struktur entscheidend für die Suche. Existing DR techniques such as PCA and UMAP optimize global or manifold-preserving criteria, rather...
Überblick über die experimentelle und theoretische Landschaft des Elektrons Transport in edlen Flüssigkeiten
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....
Transitives Array: Ein effizienter GEMM-Beschleuniger mit Wiederverwendung der Ergebnisse
Deep Neural Networks (DNNs) and Large Language Models (LLMs) 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...
Bayesianische Inferenz in Echtzeit im extremen Maßstab: Ein digitaler Zwilling für Tsunami-Frühwarnung für die Cascadia-Subduktionszone
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...
Eine effiziente Offline-Sensorplatzierungsmethode zur Durchflussschätzung
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...
Supermassive Binärdateien in ultraleichten Solitonen aus Dunkler Materie
Ultraleicht (oder unscharf) dunkle Materie (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: Anwendungen zur Abwehr gegnerischer Eingabeangriffe
Perceptual hashing is used to detect whether an input image is similar to a reference image with a variety of security applications. Kürzlich, they have been shown to succumb to adversarial input attacks which make small imperceptible changes to the input image...
Exakte stationäre Zustände und fragmentierungsinduzierte Entspannung im No-Passing-asymmetrischer einfacher Ausschlussprozess
We introduce a multi-species generalization of the asymmetric simple exclusion process (ASEP) mit einem “Überholverbot” Zwang, forbidding overtaking, auf einer eindimensionalen offenen Kette. This no-passing rule fragments the Hilbert space into an exponential number of disjoint sectors labeled by the particle sequence,...
Hamiltonsche Quantisierung der komplexen Chern-Simons-Theorie auf der Ebene-$k$
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...