Tootfinder

Exploring an implementation of quantum learning pipeline for support vector machines
Mario Bifulco, Luca Roversi
https://arxiv.org/abs/2509.04983 https://a…

Exploring an implementation of quantum learning pipeline for support vector machines
This work presents a fully quantum approach to support vector machine (SVM) learning by integrating gate-based quantum kernel methods with quantum annealing-based optimization. We explore the construction of quantum kernels using various feature maps and qubit configurations, evaluating their suitability through Kernel-Target Alignment (KTA). The SVM dual problem is reformulated as a Quadratic Unconstrained Binary Optimization (QUBO) problem, enabling its solution via quantum annealers. Our exp…

@… certain bubbles split.
And I prefer the Fediverse because it's ethically the right thing.
Even if I'd be writing into the void. 😅

Gala bei den US Open - „Verrückt!“ Sogar Gegner staunt über Jannik Sinner #News #Nachrichten

A relativistic jet from a neutron star breaking out of its natal supernova remnant
K. V. S. Gasealahwe, K. Savard, I. M. Monageng, I. Heywood, R. P. Fender, P. A. Woudt, J. English, J. H. Matthews, H. Whitehead, F. J. Cowie, A. K. Hughes, P. Saikia, S. E. Motta
https://arxiv.org/abs/2507.22998

A relativistic jet from a neutron star breaking out of its natal supernova remnant
The young neutron star X-ray binary, Cir X-1, resides within its natal supernova remnant and experiences ongoing outbursts every 16.5 days, likely due to periastron passage in an eccentric orbit. We present the deepest ever radio image of the field, which reveals relativistic jet-punched bubbles that are aligned with the mean axis of the smaller-scale jets observed close to the X-ray binary core. We are able to measure the minimum energy for the bubble, which is around $E_{min}$ = $10^{45} $ er…

Evolution of magnetic bubble domains in the uniaxial ferromagnet CeRu$_2$Ga$_2$B inferred from the Hall effect and ac magnetic susceptibility
Peter E. Siegfried, Mark Maus, Alexander C. Bornstein, Dirk Wulferding, JeehoonKim, Ryan E. Baumbach, Eric D. Bauer, Filip Ronning, and Minhyea Lee
https://arxiv.org/abs/2508.16020

Evolution of magnetic bubble domains in the uniaxial ferromagnet CeRu$_2$Ga$_2$B inferred from the Hall effect and ac magnetic susceptibility
We study the Hall effect, AC magnetic susceptibility ($χ_{\rm ac}$), and magnetic force microscopy of the uniaxial ferromagnet CeRu$_2$Ga$_2$B with a centrosymmetric crystal structure. We observe a finite topological Hall effect (THE) within the ordered phase before the magnetization is polarized by applied field. By comparing the field dependences of the area fraction of the magnetic bubbles, the derivative of $χ_{\rm ac}$, and the THE signal, we deduce that the magnetic bubbles of CeRu$_2$G…

Language bubbles in online social networks
Alessandro Bellina, Donald Ruggiero Lo Sardo, Emanuele Brugnoli, Fabio Saracco, Pietro Gravino, Vittorio Loreto, Gabriele Di Bona
https://arxiv.org/abs/2507.13068

Language bubbles in online social networks
Social media platforms have become essential spaces for public discourse. While political polarisation and limited communication across different groups are widely acknowledged, the connection between social network fragmentation and the language features and quality used by various communities has received insufficient attention. This study aims to fill this gap by examining the social structure and linguistic richness of the Italian debate on Twitter/X. We analyse tweets and retweets from Ita…

Neural Machine Translation for Coptic-French: Strategies for Low-Resource Ancient Languages
Nasma Chaoui, Richard Khoury
https://arxiv.org/abs/2508.10683 https://

Neural Machine Translation for Coptic-French: Strategies for Low-Resource Ancient Languages
This paper presents the first systematic study of strategies for translating Coptic into French. Our comprehensive pipeline systematically evaluates: pivot versus direct translation, the impact of pre-training, the benefits of multi-version fine-tuning, and model robustness to noise. Utilizing aligned biblical corpora, we demonstrate that fine-tuning with a stylistically-varied and noise-aware training corpus significantly enhances translation quality. Our findings provide crucial practical ins…