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CERN Document Server Намерени са 18 записа  1 - 10следващ  отиване на запис: Търсенето отне 0.67 секунди. 
1.
Enhanced feature encoding and classification on distributed quantum hardware / Moretti, Roberto (Milan Bicocca U. ; INFN, Milan Bicocca) ; Giachero, Andrea (Milan Bicocca U. ; INFN, Milan Bicocca) ; Radescu, Voica (Unlisted) ; Grossi, Michele (CERN)
The steady progress of quantum hardware is motivating the search for novel quantum algorithm optimization strategies for near-term, real-world applications. [...]
arXiv:2412.01664.
- 25.
Fulltext
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Qibocal: an open-source framework for calibration of self-hosted quantum devices / Pasquale, Andrea (Milan U. ; Technol. Innovation Inst., UAE ; INFN, Milan ; INFN, Milan Bicocca) ; Pedicillo, Edoardo (Milan U. ; Technol. Innovation Inst., UAE) ; Cereijo, Juan (Technol. Innovation Inst., UAE) ; Ramos-Calderer, Sergi (Technol. Innovation Inst., UAE ; ICC, Barcelona U.) ; Candido, Alessandro (CERN) ; Palazzo, Gabriele (Technol. Innovation Inst., UAE ; Milan Bicocca U. ; Unlisted, IT) ; Carobene, Rodolfo (Milan Bicocca U. ; INFN, Milan Bicocca) ; Gobbo, Marco (Milan Bicocca U. ; INFN, Milan Bicocca) ; Efthymiou, Stavros (Technol. Innovation Inst., UAE) ; Tan, Yuanzheng Paul (Nanyang Technol. U.) et al.
Calibration of quantum devices is fundamental to successfully deploy quantum algorithms on current available quantum hardware. [...]
TIF-UNIMI-2024-16 ; CERN-TH-2024-160 ; arXiv:2410.00101.
- 12.
Fulltext
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Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting / D'Elia, Alessandro (Frascati) ; Alfakes, Boulos (Unlisted) ; Alkhazaleh, Anas (Unlisted) ; Banchi, Leonardo (Florence U. ; INFN, Florence) ; Beretta, Matteo (Frascati) ; Carrazza, Stefano (Unlisted ; INFN, Milan ; Milan U. ; Padua U. ; INFN, Padua ; CERN) ; Chiarello, Fabio (Frascati ; IFN, Rome) ; Di Gioacchino, Daniele (Frascati) ; Giachero, Andrea (Milan Bicocca U. ; INFN, Milan Bicocca) ; Henrich, Felix (Heidelberg U.) et al.
In this paper we report the use of superconducting transmon qubit in a 3D cavity for quantum machine learning and photon counting applications. We first describe the realization and characterization of a transmon qubit coupled to a 3D resonator, providing a detailed description of the simulation framework and of the experimental measurement of important parameters, like the dispersive shift and the qubit anharmonicity. [...]
arXiv:2402.04322; TIF-UNIMI-2024-2.- 2024-02-11 - 21 p. - Published in : Appl. Sciences 14 (2024) 1478 Fulltext: Publication - PDF; 2402.04322 - PDF;
4.
Qibosoq: an open-source framework for quantum circuit RFSoC programming / Carobene, Rodolfo (Milan Bicocca U. ; INFN, Milan Bicocca ; Technol. Innovation Inst., UAE) ; Candido, Alessandro (Milan U. ; INFN, Milan ; CERN) ; Serrano, Javier (Technol. Innovation Inst., UAE ; Barcelona, Autonoma U.) ; Orgaz-Fuertes, Alvaro (Technol. Innovation Inst., UAE) ; Giachero, Andrea (Milan Bicocca U. ; INFN, Milan Bicocca) ; Carrazza, Stefano (Technol. Innovation Inst., UAE ; Milan U. ; INFN, Milan ; CERN)
We present Qibosoq, an open-source server-side software package designed for radio frequency system on chip (RFSoC) for executing arbitrary pulse sequences on self-hosted quantum processing units. [...]
arXiv:2310.05851 ; TIF-UNIMI-2023-18 ; CERN-TH-2023-180.
- 10 p.
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5.
Assessment of few-hits machine learning classification algorithms for low-energy physics in liquid argon detectors / Moretti, Roberto (INFN, Milan Bicocca ; Milan Bicocca U.) ; Rossi, Marco (CERN ; Milan U. ; INFN, Milan) ; Biassoni, Matteo (INFN, Milan Bicocca) ; Giachero, Andrea (INFN, Milan Bicocca ; Milan Bicocca U.) ; Grossi, Michele (CERN) ; Guffanti, Daniele (INFN, Milan Bicocca ; Milan Bicocca U.) ; Labranca, Danilo (INFN, Milan Bicocca ; Milan Bicocca U.) ; Terranova, Francesco (INFN, Milan Bicocca ; Milan Bicocca U.) ; Vallecorsa, Sofia (CERN)
The physics potential of massive liquid argon TPCs in the low-energy regime is still to be fully reaped because few-hits events encode information that can hardly be exploited by conventional classification algorithms. Machine learning (ML) techniques give their best in these types of classification problems. [...]
arXiv:2305.09744.- 2024-08-13 - 12 p. - Published in : Eur. Phys. J. Plus 139 (2024) 723 Fulltext: 2305.09744 - PDF; document - PDF;
6.
Search for Majorana neutrinos exploiting millikelvin cryogenics with CUORE / CUORE Collaboration
The possibility that neutrinos may be their own antiparticles, unique among the known fundamental particles, arises from the symmetric theory of fermions proposed by Ettore Majorana in 1937. Given the profound consequences of such Majorana neutrinos, among which is a potential explanation for the matter-antimatter asymmetry of the universe via leptogenesis, the Majorana nature of neutrinos commands intense experimental scrutiny globally; one of the primary experimental probes is neutrinoless double beta ($0 \nu \beta \beta$) decay. [...]
arXiv:2104.06906.- 2022-04-06 - 6 p. - Published in : Nature Fulltext: jhg - PDF; 2104.06906 - PDF; External links: Interactions.org; Nature News and Views article
7.
Radiation Hardness Qualification of the Amplifier/Discriminator ASICs Production for the Upgrade of the LHCb RICH Detector Front-end Electronics / Andreotti, Mirco (Ferrara U. ; INFN, Ferrara) ; Baszczyk, Mateusz (AGH-UST, Cracow ; Cracow, INP) ; Bolognesi, Manuel (Ferrara U. ; INFN, Ferrara) ; Calabrese, Roberto (Ferrara U. ; INFN, Ferrara) ; Carniti, Paolo (INFN, Milan Bicocca ; Milan Bicocca U.) ; Cassina, Lorenzo (INFN, Milan Bicocca ; Milan Bicocca U.) ; Cotta Ramusino, Angelo (Ferrara U. ; INFN, Ferrara) ; Dorosz, Piotr (AGH-UST, Cracow ; Cracow, INP) ; Fiorini, Massimiliano (Ferrara U. ; INFN, Ferrara) ; Giachero, Andrea (INFN, Milan Bicocca ; Milan Bicocca U.) et al.
Thirty-three-thousand CLARO8 ASICs were produced in 0.35μm CMOS technology and will be installed in the upgraded LHCb detector at CERN. Radiation hardness has been extensively characterized and compared to prototype production..
2018 - 4 p. - Published in : 10.1109/NSREC.2018.8584280
In : 2018 IEEE Radiation Effects Data Workshop, Waikoloa Village, HI, USA, 16 - 20 Jul 2018, pp.8584280
8.
Results of CUORE / CUORE Collaboration
The Cryogenic Underground Observatory for Rare Events (CUORE) at the Laboratori Nazionali del Gran Sasso, Italy, is the world's largest bolometric experiment. The detector consists of an array of 988 TeO$_{2}$ crystals, for a total mass of 742 kg. [...]
arXiv:1905.07667.- 2019 - 6 p. - Published in : (2019) , pp. 189-194 Fulltext: PDF;
In : 54th Rencontres de Moriond on Electroweak Interactions and Unified Theories, La Thuile, Italy, 16 - 23 Mar 2019, pp.189-194
9.
Radiation hardness assurance of the CLARO8 front-end chip for the LHCb RICH detector upgrade / Andreotti, M (Ferrara U. ; INFN, Ferrara) ; Baldini, W (Ferrara U. ; INFN, Ferrara) ; Baszczykc, M (AGH-UST, Cracow ; Cracow, INP) ; Calabrese, R (Ferrara U. ; INFN, Ferrara) ; Candelori, A (INFN, Padua ; Padua U.) ; Carniti, P (INFN, Milan Bicocca ; Milan Bicocca U.) ; Cassina, L (Ferrara U. ; INFN, Ferrara) ; Cotta Ramusino, A (Ferrara U. ; INFN, Ferrara) ; Dorosz, P (AGH-UST, Cracow ; Cracow, INP) ; Fiorini, M (Ferrara U. ; INFN, Ferrara) et al.
The CLARO8 chip has been designed for single-photon counting in the upgraded RICH detector of the LHCb experiment at CERN. The chip has 8 channels with 5 ns peaking time and a recovery time better than 25 ns. [...]
2017 - 3 p. - Published in : Nucl. Instrum. Methods Phys. Res., A 876 (2017) 126-128
In : 9th International Workshop on Ring Imaging Cherenkov Detectors, Bled, Slovenia, 5 - 9 Sep 2016, pp.126-128
10.
Characterization of the 8-channel single-photon counting front-end chip for the upgrade of the LHCb RICH detectors / Andreotti, M (Ferrara U. ; INFN, Ferrara) ; Baldini, W (Ferrara U. ; INFN, Ferrara) ; Baszczyk, M (AGH-UST, Cracow ; Cracow, INP) ; Calabrese, R (Ferrara U. ; INFN, Ferrara) ; Candelori, A (INFN, Padua) ; Carniti, P (INFN, Milan Bicocca ; Milan Bicocca U.) ; Cassina, L (INFN, Milan Bicocca ; Milan Bicocca U.) ; Cotta Ramusino, A (Ferrara U. ; INFN, Ferrara) ; Dorosz, P (AGH-UST, Cracow ; Cracow, INP) ; Fiorini, M (Ferrara U. ; INFN, Ferrara) et al.
An 8-channel front-end ASIC has been designed in 0.35 micron CMOS technology for the upgrade of the LHCb RICH detectors at CERN. The chip allows fast single-photon counting up to 40 MHz, with a peaking time of 5 ns and a power consumption of about 1 mW per channel. [...]
2016 - 3 p. - Published in : 10.1109/NSSMIC.2015.7581974
In : 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA, USA, 31 Oct - 7 Nov 2015, pp.7581974

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