Tootfinder

Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization
Ugo Nzongani, Dylan Laplace Mermoud, Giuseppe Di Molfetta, Andrea Simonetto
https://arxiv.org/abs/2509.15138

Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization
We introduce SamBa-GQW, a novel quantum algorithm for solving binary combinatorial optimization problems of arbitrary degree with no use of any classical optimizer. The algorithm is based on a continuous-time quantum walk on the solution space represented as a graph. The walker explores the solution space to find its way to vertices that minimize the cost function of the optimization problem. The key novelty of our algorithm is an offline classical sampling protocol that gives information about…

Гетто-бластер Marantz CD63-SE начал жевать диски.
Full repair kit looks like a purified fun! Типа что нам продавали как высокококококококачественное в 95м сегодня знаете сколько стоит? При рынке в 2.5 нерда? Да-да, меньше четверти ящика водки.
Будем, во имя Сатаны, ремонтировать. Разумеется, никакого экономического или технического смысла нет, чистый азарт и неудержимое веселие.

Another great year in music! The Tidal rewind looks great this year.
#music

Low-Frequency Gravitational Waves in Three-Dimensional Core-Collapse Supernova Models
Colter J. Richardson, Anthony Mezzacappa, Kya Schluterman, Haakon Andresen, Eric J. Lentz, Pedro Marronetti, Daniel Murphy, Michele Zanolin
https://arxiv.org/abs/2510.08764

Low-Frequency Gravitational Waves in Three-Dimensional Core-Collapse Supernova Models
We discuss the low-frequency gravitational wave signals from three state-of-the-art three-dimensional core-collapse supernova models produced with the \textsc{Chimera} supernova code. We provide a detailed derivation of the gravitational wave signal sourced from the anisotropic emission of neutrinos and provide the total (fluid sourced and neutrino sourced) gravitational waves signal generated in our models. We discuss the templatablity of this low-frequency signal, which is useful for future w…

Digital Innovation in Microenterprises: Current Trends and New Research Avenues
Juan E. G\'omez-Morantes (Pontificia Universidad Javeriana), Andrea Herrera (Universidad de los Andes), Sonia Camacho (Universidad de los Andes)
https://arxiv.org/abs/2510.07519

Digital Innovation in Microenterprises: Current Trends and New Research Avenues
The relationship between microenterprises and information and communication technologies (ICTs) has always been troublesome. Because of the rapid pace of modern digital technologies, digital innovation processes are permeating the industries, markets, and social contexts in which microenterprises exist today. However, microenterprises have severe difficulties engaging or performing in these digital contexts and are at risk of being left behind. This paper reviews the literature on ICTs and micr…

BOE-XSUM: Extreme Summarization in Clear Language of Spanish Legal Decrees and Notifications
Andr\'es Fern\'andez Garc\'ia, Javier de la Rosa, Julio Gonzalo, Roser Morante, Enrique Amig\'o, Alejandro Benito-Santos, Jorge Carrillo-de-Albornoz, V\'ictor Fresno, Adrian Ghajari, Guillermo Marco, Laura Plaza, Eva S\'anchez Salido
https://

BOE-XSUM: Extreme Summarization in Clear Language of Spanish Legal Decrees and Notifications
The ability to summarize long documents succinctly is increasingly important in daily life due to information overload, yet there is a notable lack of such summaries for Spanish documents in general, and in the legal domain in particular. In this work, we present BOE-XSUM, a curated dataset comprising 3,648 concise, plain-language summaries of documents sourced from Spain's ``Bolet\'ın Oficial del Estado'' (BOE), the State Official Gazette. Each entry in the dataset includes a short summary, t…

Photon-starved polarimetry via functional classical shadows
Matteo Rosati, Miranda Parisi, Linda Sansoni, Eleonora Stefanutti, Andrea Chiuri, Marco Barbieri
https://arxiv.org/abs/2509.19547

Photon-starved polarimetry via functional classical shadows
Polarimetry and optical imaging techniques face challenges in photon-starved scenarios, where the low number of detected photons imposes a trade-off between image resolution, integration time, and sample sensitivity. Here we introduce a quantum-inspired method, functional classical shadows, for reconstructing a polarization profile in the low photon-flux regime. Our method harnesses correlations between neighbouring datapoints, based on the recent realisation that machine learning can estimate …