Characterization of a transmon qubit in a 3D cavity for quantum machine learning and photon counting
In this paper, we report the use of a 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...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
11 February 2024
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| In: |
Applied Sciences
Year: 2024, Jahrgang: 14, Heft: 4, Pages: 1-21 |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app14041478 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.3390/app14041478 Verlag, kostenfrei, Volltext: https://www.mdpi.com/2076-3417/14/4/1478 
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| Verfasserangaben: | Alessandro D’Elia, Boulos Alfakes, Anas Alkhazaleh, Leonardo Banchi, Matteo Beretta, Stefano Carrazza, Fabio Chiarello, Daniele Di Gioacchino, Andrea Giachero, Felix Henrich, Alex Stephane Piedjou Komnang, Carlo Ligi, Giovanni Maccarrone, Massimo Macucci, Emanuele Palumbo, Andrea Pasquale, Luca Piersanti, Florent Ravaux, Alessio Rettaroli, Matteo Robbiati, Simone Tocci and Claudio Gatti |
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| 245 | 1 | 0 | |a Characterization of a transmon qubit in a 3D cavity for quantum machine learning and photon counting |c Alessandro D’Elia, Boulos Alfakes, Anas Alkhazaleh, Leonardo Banchi, Matteo Beretta, Stefano Carrazza, Fabio Chiarello, Daniele Di Gioacchino, Andrea Giachero, Felix Henrich, Alex Stephane Piedjou Komnang, Carlo Ligi, Giovanni Maccarrone, Massimo Macucci, Emanuele Palumbo, Andrea Pasquale, Luca Piersanti, Florent Ravaux, Alessio Rettaroli, Matteo Robbiati, Simone Tocci and Claudio Gatti |
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| 520 | |a In this paper, we report the use of a 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, such as the dispersive shift and the qubit anharmonicity. We then report on a Quantum Machine Learning application implemented on a single-qubit device to fit the u-quark parton distribution function of the proton. In the final section of the manuscript, we present a new microwave photon detection scheme based on two qubits coupled to the same 3D resonator. This could in principle decrease the dark count rate, favoring applications like axion dark matter searches. | ||
| 650 | 4 | |a microwave photon detection | |
| 650 | 4 | |a qubit characterization | |
| 650 | 4 | |a transmon | |
| 650 | 4 | |a transmon simulation | |
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| 700 | 1 | |a Gatti, Claudio |e VerfasserIn |4 aut | |
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