Zobrazeno 1 - 10
of 4 419
pro vyhledávání: '"A. Cataliotti"'
Autor:
Hernández-Gómez, Santiago, Poggiali, Francesco, Cappellaro, Paola, Cataliotti, Francesco S., Trombettoni, Andrea, Fabbri, Nicole, Gherardini, Stefano
Exchange energy statistics between two bodies at different thermal equilibrium obey the Jarzynski-W\'ojcik fluctuation theorem. The corresponding energy scale factor is the difference of the inverse temperatures associated to the bodies at equilibriu
Externí odkaz:
http://arxiv.org/abs/2404.05310
In a multi-level quantum system Fano coherences stand for the formation of quantum coherences due to the interaction with the continuum of modes characterizing an incoherent process. When the incoherent source vanishes, Fano coherences tend to disapp
Externí odkaz:
http://arxiv.org/abs/2402.16056
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract In a multi-level quantum system Fano coherences stand for the formation of quantum coherences due to the interaction with the continuum of modes characterizing an incoherent process. In this paper we propose a V-type three-level quantum syst
Externí odkaz:
https://doaj.org/article/dbc6a667240643f787c6e2374ce69598
Autor:
Donati, Ludovica1,2,3, Cataliotti, Francesco Saverio1,2,3 francescosaverio.cataliotti@cnr.it, Gherardini, Stefano1,2 stefano.gherardini@ino.cnr.it
Publikováno v:
Scientific Reports. 9/2/2024, Vol. 14 Issue 1, p1-17. 17p.
Autor:
Mastroserio, Ivana, Gherardini, Stefano, Lovecchio, Cosimo, Calarco, Tommaso, Montangero, Simone, Cataliotti, Francesco Saverio, Caruso, Filippo
Publikováno v:
Advanced Quantum Technologies 5 (12), 2200057 (2022)
We report on the use of the dCRAB optimal control algorithm to realize time-reversal procedures for the implementation of quantum undo operations, to be applied in quantum technology contexts ranging from quantum computing to quantum communications.
Externí odkaz:
http://arxiv.org/abs/2206.02746
Autor:
Ribezzo, Domenico, Zahidy, Mujtaba, Vagniluca, Ilaria, Biagi, Nicola, Francesconi, Saverio, Occhipinti, Tommaso, Oxenløwe, Leif K., Lončarić, Martin, Cvitić, Ivan, Stipčević, Mario, Pušavec, Žiga, Kaltenbaek, Rainer, Ramšak, Anton, Cesa, Francesco, Giorgetti, Giorgio, Scazza, Francesco, Bassi, Angelo, De Natale, Paolo, Cataliotti, Francesco Saverio, Inguscio, Massimo, Bacco, Davide, Zavatta, Alessandro
Publikováno v:
Adv Quantum Technol. 2023, 6, 2200061
Around forty years have passed since the first pioneering works have introduced the possibility of using quantum physics to strongly enhance communications safety. Nowadays Quantum Cryptography, and in particular, Quantum Key Distribution (QKD) exite
Externí odkaz:
http://arxiv.org/abs/2203.11359
Autor:
Artale, Giovanni, Cataliotti, Antonio, Cimaz, Lionel, Cosentino, Valentina, Di Cara, Dario, Ditta, Vito, Dipaola, Nunzio, Guaiana, Salvatore, Panzavecchia, Nicola, Sambataro, Marilena, Tinè, Giovanni
Publikováno v:
In Measurement January 2025 242 Part B
Autor:
Stefano Caputo, Silvia Viciani, Stefano Gherardini, Giacomo Borghini, Francesco Cataliotti, Lorenzo Mucchi
Publikováno v:
IEEE Access, Vol 12, Pp 148693-148705 (2024)
Noise Level Modulation (NLM) is a robust physical-layer security technique which uses the injection of random phase noise into the transmitted signal to provide confidentiality in optical networks. The legitimate receiver can seamlessly recover the i
Externí odkaz:
https://doaj.org/article/8eb527e21fca409e8e1b397cae09d76b
Autor:
Murtaza, Ghulam, Colautti, Maja, Hilke, Michael, Lombardi, Pietro, Cataliotti, Francesco Saverio, Zavatta, Alessandro, Bacco, Davide, Toninelli, Costanza
Quantum Key Distribution (QKD) allows the distribution of cryptographic keys between multiple users in an information-theoretic secure way, exploiting quantum physics. While current QKD systems are mainly based on attenuated laser pulses, determinist
Externí odkaz:
http://arxiv.org/abs/2202.12635
Autor:
Gianani, Ilaria, Mastroserio, Ivana, Buffoni, Lorenzo, Bruno, Natalia, Donati, Ludovica, Cimini, Valeria, Barbieri, Marco, Cataliotti, Francesco S., Caruso, Filippo
The classification of big data usually requires a mapping onto new data clusters which can then be processed by machine learning algorithms by means of more efficient and feasible linear separators. Recently, Lloyd et al. have advanced the proposal t
Externí odkaz:
http://arxiv.org/abs/2106.13835