Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting

• URL: http://arxiv.org/abs/2402.04322v1
• Date: Tue, 6 Feb 2024 19:07:19 GMT
• Title: Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting
• Authors: 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, Claudio Gatti
• Abstract summary: We first describe the realization and characterization of a transmon qubit coupled to a 3D resonator. We then report on a Quantum Machine Learning application implemented on the single-qubit device. 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.
• Score: 28.32051890758564
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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. We then report on a Quantum Machine Learning application implemented on the 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, favouring applications like axion dark matter searches.

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