Zobrazeno 1 - 10
of 27 097
pro vyhledávání: '"Genovese A."'
We investigated the use of virtual technologies to digitise and enhance cultural heritage (CH), aligning with Open Science and FAIR principles. Through case studies in museums, we developed reproducible workflows, 3D models, and tools fostering acces
Externí odkaz:
http://arxiv.org/abs/2412.05880
This paper provides the final ingredient in the development of the deformation theory of pretriangulated dg-categories endowed with a nice t-structure, which was initiated by the authors and is modeled after the previously developed deformation theor
Externí odkaz:
http://arxiv.org/abs/2411.15359
Autor:
Di Pietra, Giuseppe, Piacentini, Fabrizio, Bernardi, Ettore, Moreva, Ekaterina, Napoli, Carmine, Degiovanni, Ivo Pietro, Genovese, Marco, Vedral, Vlatko, Marletto, Chiara
Recently, it has been proposed a new method [arXiv:2405.21029] to detect quantum gravity effects, based on generating gravitational entanglement between two nano-diamonds with Nitrogen-Vacancy defects, in a magnetically trapped configuration. Here we
Externí odkaz:
http://arxiv.org/abs/2410.19601
Autor:
Atzori, Francesco, Rebufello, Enrico, Violaris, Maria, Knoll, Laura T., Alhajri, Abdulla, Avella, Alessio, Gramegna, Marco, Marletto, Chiara, Vedral, Vlatko, Piacentini, Fabrizio, Degiovanni, Ivo Pietro, Genovese, Marco
Quantum theory is notoriously counterintuitive, and yet remains entirely self-consistent when applied universally. Here we uncover a new manifestation of its unusual consequences. We demonstrate, theoretically and experimentally (by means of polariza
Externí odkaz:
http://arxiv.org/abs/2409.20480
Autor:
Genovese, Marco, Piacentini, Fabrizio
Bell inequalities represent a milestone for contemporary Physics, both for quantum foundations investigation and technological applications (e.g., quantum communication and entanglement certification). Although loophole-free tests have been recently
Externí odkaz:
http://arxiv.org/abs/2409.02510
Autor:
Picariello, Fabio, Losero, Elena, Tchernij, Sviatoslav Ditalia, Boucher, Pauline, Genovese, Marco, Ruo-Berchera, Ivano, Degiovanni, Ivo Pietro
We present an advanced quantum super-resolution imaging technique based on photon statistics measurement and its accurate modeling. Our reconstruction algorithm adapts to any kind of non-Poissonian emitters, outperforming the corresponding classical
Externí odkaz:
http://arxiv.org/abs/2408.11654
Autor:
Faundez-Zanuy, Marcos, Faura-Pujol, Anna, Montalvo-Ruiz, Hector, Losada-Fors, Alexia, Genovese, Pablo, Sanz-Cartagena, Pilar
Publikováno v:
Applications of Artificial Intelligence and Neural Systems to Data Science. Smart Innovation, Systems and Technologies, vol 360. Springer 02 August 2023
In this paper we analyze and compare different movement sensors: micro-chip gesture-ID, leap motion, noitom mocap, and specially developed sensor for tapping and foot motion analysis. The main goal is to evaluate the accu-racy of measurements provide
Externí odkaz:
http://arxiv.org/abs/2408.07281
Autor:
Virzì, Salvatore, Meda, Alice, Redolfi, Elisa, Gramegna, Marco, Brida, Giorgio, Genovese, Marco, Degiovanni, Ivo Pietro
In this paper, we present a new experimental apparatus for the measurement of the detection efficiency of free-space single-photon detectors based on the substitution method. For the first time, we extend the analysis to account for the wavelength de
Externí odkaz:
http://arxiv.org/abs/2407.01120
Autor:
Vicentini, Marta, Bernardi, Ettore, Moreva, Ekaterina, Piacentini, Fabrizio, Napoli, Carmine, Degiovanni, Ivo Pietro, Manzin, Alessandra, Genovese, Marco
Unifying quantum theory and general relativity is the holy grail of contemporary physics. Nonetheless, the lack of experimental evidence driving this process led to a plethora of mathematical models with a substantial impossibility of discriminating
Externí odkaz:
http://arxiv.org/abs/2405.21029
Autor:
Bolognesi, Marianna Marcella, Collacciani, Claudia, Ferrari, Andrea, Genovese, Francesca, Lamarra, Tommaso, Loia, Adele, Rambelli, Giulia, Ravelli, Andrea Amelio, Villani, Caterina
Word Ladders is a free mobile application for Android and iOS, developed for collecting linguistic data, specifically lists of words related to each other through semantic relations of categorical inclusion, within the Abstraction project (ERC-2021-S
Externí odkaz:
http://arxiv.org/abs/2404.00184