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10 results on '"Banchi L"'

1. Transmon qubit modeling and characterization for Dark Matter search

Author

Moretti, R., Labranca, D., Campana, P., Carobene, R., Gobbo, M., Castellanos-Beltran, M. A., Olaya, D., Hopkins, P. F., Banchi, L., Borghesi, M., Candido, A., Corti, H. A., D'Elia, A., Faverzani, M., Ferri, E., Nucciotti, A., Origo, L., Pasquale, A., Komnang, A. S. Piedjou, Rettaroli, A., Tocci, S., Carrazza, S., Gatti, C., and Giachero, A.

Subjects
Quantum Physics
Abstract

This study presents the design, simulation, and experimental characterization of a superconducting transmon qubit circuit prototype for potential applications in dark matter detection experiments. We describe a planar circuit design featuring two non-interacting transmon qubits, one with fixed frequency and the other flux tunable. Finite-element simulations were employed to extract key Hamiltonian parameters and optimize component geometries. The qubit was fabricated and then characterized at $20$ mK, allowing for a comparison between simulated and measured qubit parameters. Good agreement was found for transition frequencies and anharmonicities (within 1\% and 10\% respectively) while coupling strengths exhibited larger discrepancies (30\%). We discuss potential causes for measured coherence times falling below expectations ($T_1\sim\,$1-2 \textmu s) and propose strategies for future design improvements. Notably, we demonstrate the application of a hybrid 3D-2D simulation approach for energy participation ratio evaluation, yielding a more accurate estimation of dielectric losses. This work represents an important first step in developing planar Quantum Non-Demolition (QND) single-photon counters for dark matter searches, particularly for axion and dark photon detection schemes.

Published
2024

2. Design and Simulation of a Transmon Qubit Chip for Axion Detection

Author

Moretti, R, Corti, H, Labranca, D, Ahrens, F, Avallone, G, Babusci, D, Banchi, L, Barone, C, Beretta, M, Borghesi, M, Buonomo, B, Calore, E, Carapella, G, Chiarello, F, Cian, A, Cidronali, A, Costa, F, Cuccoli, A, D'Elia, A, Gioacchino, D, Pascoli, S, Falferi, P, Fanciulli, M, Faverzani, M, Felici, G, Ferri, E, Filatrella, G, Foggetta, L, Gatti, C, Giachero, A, Giazotto, F, Giubertoni, D, Granata, V, Guarcello, C, Lamanna, G, Ligi, C, Maccarrone, G, Macucci, M, Manara, G, Mantegazzini, F, Marconcini, P, Margesin, B, Mattioli, F, Miola, A, Nucciotti, A, Origo, L, Pagano, S, Paolucci, F, Piersanti, L, Rettaroli, A, Sanguinetti, S, Schifano, S, Spagnolo, P, Tocci, S, Toncelli, A, Torrioli, G, Vinante, A, Moretti R., Corti H. A., Labranca D., Ahrens F., Avallone G., Babusci D., Banchi L., Barone C., Beretta M. M., Borghesi M., Buonomo B., Calore E., Carapella G., Chiarello F., Cian A., Cidronali A., Costa F., Cuccoli A., D'Elia A., Gioacchino D. D., Pascoli S. D., Falferi P., Fanciulli M., Faverzani M., Felici G., Ferri E., Filatrella G., Foggetta L. G., Gatti C., Giachero A., Giazotto F., Giubertoni D., Granata V., Guarcello C., Lamanna G., Ligi C., Maccarrone G., Macucci M., Manara G., Mantegazzini F., Marconcini P., Margesin B., Mattioli F., Miola A., Nucciotti A., Origo L., Pagano S., Paolucci F., Piersanti L., Rettaroli A., Sanguinetti S., Schifano S. F., Spagnolo P., Tocci S., Toncelli A., Torrioli G., Vinante A., Moretti, R, Corti, H, Labranca, D, Ahrens, F, Avallone, G, Babusci, D, Banchi, L, Barone, C, Beretta, M, Borghesi, M, Buonomo, B, Calore, E, Carapella, G, Chiarello, F, Cian, A, Cidronali, A, Costa, F, Cuccoli, A, D'Elia, A, Gioacchino, D, Pascoli, S, Falferi, P, Fanciulli, M, Faverzani, M, Felici, G, Ferri, E, Filatrella, G, Foggetta, L, Gatti, C, Giachero, A, Giazotto, F, Giubertoni, D, Granata, V, Guarcello, C, Lamanna, G, Ligi, C, Maccarrone, G, Macucci, M, Manara, G, Mantegazzini, F, Marconcini, P, Margesin, B, Mattioli, F, Miola, A, Nucciotti, A, Origo, L, Pagano, S, Paolucci, F, Piersanti, L, Rettaroli, A, Sanguinetti, S, Schifano, S, Spagnolo, P, Tocci, S, Toncelli, A, Torrioli, G, Vinante, A, Moretti R., Corti H. A., Labranca D., Ahrens F., Avallone G., Babusci D., Banchi L., Barone C., Beretta M. M., Borghesi M., Buonomo B., Calore E., Carapella G., Chiarello F., Cian A., Cidronali A., Costa F., Cuccoli A., D'Elia A., Gioacchino D. D., Pascoli S. D., Falferi P., Fanciulli M., Faverzani M., Felici G., Ferri E., Filatrella G., Foggetta L. G., Gatti C., Giachero A., Giazotto F., Giubertoni D., Granata V., Guarcello C., Lamanna G., Ligi C., Maccarrone G., Macucci M., Manara G., Mantegazzini F., Marconcini P., Margesin B., Mattioli F., Miola A., Nucciotti A., Origo L., Pagano S., Paolucci F., Piersanti L., Rettaroli A., Sanguinetti S., Schifano S. F., Spagnolo P., Tocci S., Toncelli A., Torrioli G., and Vinante A.

Abstract

Quantum Sensing is a rapidly expanding research field that finds one of its applications in Fundamental Physics, as the search for Dark Matter. Devices based on superconducting qubits have already been successfully applied in detecting few-GHz single photons via Quantum Non-Demolition measurement (QND). This technique allows us to perform repeatable measurements, bringing remarkable sensitivity improvements and dark count rate suppression in experiments based on high-precision microwave photon detection, such as for Axions and Dark Photons search. In this context, the INFN Qub-IT project goal is to realize an itinerant single-photon counter based on superconducting qubits that will exploit QND for enhancing Axion search experiments. In this study, we present Qub-IT's status towards the realization of its first superconducting qubit device, illustrating design and simulation procedures and the characterization of fabricated Coplanar Waveguide Resonators (CPWs) for readout. We match target qubit parameters and assess a few-percent level agreement between lumped and distributed element simulation models. We reach a maximum internal quality factor of 9.2×105 for -92 dBm on-chip readout power.

Published
2024

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

Author

D’Elia, A, Alfakes, B, Alkhazaleh, A, Banchi, L, Beretta, M, Carrazza, S, Chiarello, F, Di Gioacchino, D, Giachero, A, Henrich, F, Piedjou Komnang, A, Ligi, C, Maccarrone, G, Macucci, M, Palumbo, E, Pasquale, A, Piersanti, L, Ravaux, F, Rettaroli, A, Robbiati, M, Tocci, S, Gatti, C, D’Elia, Alessandro, Alfakes, Boulos, Alkhazaleh, Anas, Banchi, Leonardo, Beretta, Matteo, Carrazza, Stefano, Chiarello, Fabio, Di Gioacchino, Daniele, Giachero, Andrea, Henrich, Felix, Piedjou Komnang, Alex Stephane, Ligi, Carlo, Maccarrone, Giovanni, Macucci, Massimo, Palumbo, Emanuele, Pasquale, Andrea, Piersanti, Luca, Ravaux, Florent, Rettaroli, Alessio, Robbiati, Matteo, Tocci, Simone, Gatti, Claudio, D’Elia, A, Alfakes, B, Alkhazaleh, A, Banchi, L, Beretta, M, Carrazza, S, Chiarello, F, Di Gioacchino, D, Giachero, A, Henrich, F, Piedjou Komnang, A, Ligi, C, Maccarrone, G, Macucci, M, Palumbo, E, Pasquale, A, Piersanti, L, Ravaux, F, Rettaroli, A, Robbiati, M, Tocci, S, Gatti, C, D’Elia, Alessandro, Alfakes, Boulos, Alkhazaleh, Anas, Banchi, Leonardo, Beretta, Matteo, Carrazza, Stefano, Chiarello, Fabio, Di Gioacchino, Daniele, Giachero, Andrea, Henrich, Felix, Piedjou Komnang, Alex Stephane, Ligi, Carlo, Maccarrone, Giovanni, Macucci, Massimo, Palumbo, Emanuele, Pasquale, Andrea, Piersanti, Luca, Ravaux, Florent, Rettaroli, Alessio, Robbiati, Matteo, Tocci, Simone, and Gatti, Claudio

Abstract

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.

Published
2024

4. Design and Simulation of a Transmon Qubit Chip for Axion Detection

Author

Moretti, R., primary, Corti, H. Atse, additional, Labranca, D., additional, Ahrens, F., additional, Avallone, G., additional, Babusci, D., additional, Banchi, L., additional, Barone, C., additional, Beretta, M. M., additional, Borghesi, M., additional, Buonomo, B., additional, Calore, E., additional, Carapella, G., additional, Chiarello, F., additional, Cian, A., additional, Cidronali, A., additional, Costa, F., additional, Cuccoli, A., additional, D'Elia, A., additional, Gioacchino, D. Di, additional, Pascoli, S. Di, additional, Falferi, P., additional, Fanciulli, M., additional, Faverzani, M., additional, Felici, G., additional, Ferri, E., additional, Filatrella, G., additional, Foggetta, L. G., additional, Gatti, C., additional, Giachero, A., additional, Giazotto, F., additional, Giubertoni, D., additional, Granata, V., additional, Guarcello, C., additional, Lamanna, G., additional, Ligi, C., additional, Maccarrone, G., additional, Macucci, M., additional, Manara, G., additional, Mantegazzini, F., additional, Marconcini, P., additional, Margesin, B., additional, Mattioli, F., additional, Miola, A., additional, Nucciotti, A., additional, Origo, L., additional, Pagano, S., additional, Paolucci, F., additional, Piersanti, L., additional, Rettaroli, A., additional, Sanguinetti, S., additional, Schifano, S. F., additional, Spagnolo, P., additional, Tocci, S., additional, Toncelli, A., additional, Torrioli, G., additional, and Vinante, A., additional

Published
2024
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5. First design of a superconducting qubit for the QUB-IT experiment

Author

Labranca, D, Corti, H, Banchi, L, Cidronali, A, Felicetti, S, Gatti, C, Giachero, A, Nucciotti, A, Labranca D., Corti H. A., Banchi L., Cidronali A., Felicetti S., Gatti C., Giachero A., Nucciotti A., Labranca, D, Corti, H, Banchi, L, Cidronali, A, Felicetti, S, Gatti, C, Giachero, A, Nucciotti, A, Labranca D., Corti H. A., Banchi L., Cidronali A., Felicetti S., Gatti C., Giachero A., and Nucciotti A.

Abstract

Quantum sensing is a rapidly growing field of research which is already improving sensitivity in fundamental physics experiments. The ability to control quantum devices to measure physical quantities received a major boost from superconducting qubits and the improved capacity in engineering and fabricating this type of devices. The goal of the QUB-IT project is to realize an itinerant single-photon counter exploiting Quantum Non Demolition (QND) measurements and entangled qubits, in order to surpass current devices in terms of efficiency and low dark-count rates. Such a detector has direct applications in Axion dark-matter experiments (such as QUAX Alesini et al., 2021 [1]), which require the photon to travel along a transmission line before being measured. In this contribution we present the design and simulation of the first superconducting device consisting of a transmon qubit coupled to a resonator using the Qiskit-Metal software developed by IBM. Exploiting the Energy Participation Ratio (EPR) simulation we were able to extract the circuit Hamiltonian parameters, such as resonant frequencies, anharmonicity and qubit–resonator couplings.

Published
2023

6. Learning Quantum Systems

Author

Gebhart, V., Santagati, R., Gentile, A., Gauger, E., Craig, D., Ares, N., Banchi, L., Marquardt, F., Pezzè, L., and Bonato, C.

Abstract

Quantum technologies hold the promise to revolutionise our society with ground-breaking applications in secure communication, high-performance computing and ultra-precise sensing. One of the main features in scaling up quantum technologies is that the complexity of quantum systems scales exponentially with their size. This poses severe challenges in the efficient calibration, benchmarking and validation of quantum states and their dynamical control. While the complete simulation of large-scale quantum systems may only be possible with a quantum computer, classical characterisation and optimisation methods (supported by cutting edge numerical techniques) can still play an important role. Here, we review classical approaches to learning quantum systems, their correlation properties, their dynamics and their interaction with the environment. We discuss theoretical proposals and successful implementations in different physical platforms such as spin qubits, trapped ions, photonic and atomic systems, and superconducting circuits. This review provides a brief background for key concepts recurring across many of these approaches, such as the Bayesian formalism or Neural Networks, and outlines open questions.

Published
2022

7. First design of a superconducting qubit for the QUB-IT experiment

Author

Danilo Labranca, Hervè Atsè Corti, Leonardo Banchi, Alessandro Cidronali, Simone Felicetti, Claudio Gatti, Andrea Giachero, Angelo Nucciotti, Labranca, D, Corti, H, Banchi, L, Cidronali, A, Felicetti, S, Gatti, C, Giachero, A, and Nucciotti, A

Subjects
Nuclear and High Energy Physics, Quantum Physics, Superconductivity, Physics - Instrumentation and Detectors, Microwave readout, Xmon, FOS: Physical sciences, Qubit, Instrumentation and Detectors (physics.ins-det), Quantum technologie, Quantum Physics (quant-ph), Instrumentation
Abstract

Quantum sensing is a rapidly growing field of research which is already improving sensitivity in fundamental physics experiments. The ability to control quantum devices to measure physical quantities received a major boost from superconducting qubits and the improved capacity in engineering and fabricating this type of devices. The goal of the QUB-IT project is to realize an itinerant single-photon counter exploiting Quantum Non Demolition (QND) measurements and entangled qubits, in order to surpass current devices in terms of efficiency and low dark-count rates. Such a detector has direct applications in Axion dark-matter experiments (such as QUAX Alesini et al., 2021 [1]), which require the photon to travel along a transmission line before being measured. In this contribution we present the design and simulation of the first superconducting device consisting of a transmon qubit coupled to a resonator using the Qiskit-Metal software developed by IBM. Exploiting the Energy Participation Ratio (EPR) simulation we were able to extract the circuit Hamiltonian parameters, such as resonant frequencies, anharmonicity and qubit–resonator couplings.

Published
2022
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9. Generating Haar-Uniform Randomness Using Stochastic Quantum Walks on a Photonic Chip.

Author

Tang H, Banchi L, Wang TY, Shang XW, Tan X, Zhou WH, Feng Z, Pal A, Li H, Hu CQ, Kim MS, and Jin XM

Abstract

As random operations for quantum systems are intensively used in various quantum information tasks, a trustworthy measure of the randomness in quantum operations is highly demanded. The Haar measure of randomness is a useful tool with wide applications, such as boson sampling. Recently, a theoretical protocol was proposed to combine quantum control theory and driven stochastic quantum walks to generate Haar-uniform random operations. This opens up a promising route to converting classical randomness to quantum randomness. Here, we implement a two-dimensional stochastic quantum walk on the integrated photonic chip and demonstrate that the average of all distribution profiles converges to the even distribution when the evolution length increases, suggesting the 1-pad Haar-uniform randomness. We further show that our two-dimensional array outperforms the one-dimensional array of the same number of waveguide for the speed of convergence. Our Letter demonstrates a scalable and robust way to generate Haar-uniform randomness that can provide useful building blocks to boost future quantum information techniques.

Published
2022
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10. Bounding the Benefit of Adaptivity in Quantum Metrology Using the Relative Fidelity.

Author

Pereira JL, Banchi L, and Pirandola S

Abstract

Protocols for discriminating between a pair of channels or for estimating a channel parameter can often be aided by adaptivity or by entanglement between the probe states. This can make it difficult to bound the best possible performance for such protocols. In this Letter, we introduce a quantity that we call the relative fidelity of a given pair of channels and a pair of input states to those channels. Constraining the allowed input states to all pairs of states whose fidelity is greater than some minimum "input fidelity" and minimizing this quantity over the valid pairs of states, we get the minimum relative fidelity for that input fidelity constraint. We are then able to lower bound the fidelity between the possible output states of any protocol acting on one of two possible channels in terms of the minimum relative fidelity. This allows us to bound the performance of the most general, adaptive discrimination and parameter estimation protocols. By finding a continuity bound for the relative fidelity, we also provide a simple confirmation that the quantum Fisher information (QFI) of the output of an N-use protocol is no more than N^{2} times the one-shot QFI.

Published
2021
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