Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting
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.
Keywords
Cite
@article{arxiv.2402.04322,
title = {Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting},
author = {Alessandro D'Elia and Boulos Alfakes and Anas Alkhazaleh and Leonardo Banchi and Matteo Beretta and Stefano Carrazza and Fabio Chiarello and Daniele Di Gioacchino and Andrea Giachero and Felix Henrich and Alex Stephane Piedjou Komnang and Carlo Ligi and Giovanni Maccarrone and Massimo Macucci and Emanuele Palumbo and Andrea Pasquale and Luca Piersanti and Florent Ravaux and Alessio Rettaroli and Matteo Robbiati and Simone Tocci and Claudio Gatti},
journal= {arXiv preprint arXiv:2402.04322},
year = {2024}
}
Comments
22 pages, 10 figures, accepted in Applied Sciences, code available at https://qibo.science