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CERN Document Server 11 notices trouvées  1 - 10suivant  aller vers la notice: La recherche a duré 1.07 secondes. 
1.
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.
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Double-bracket quantum algorithms for high-fidelity ground state preparation / Robbiati, Matteo (CERN ; Milan U.) ; Pedicillo, Edoardo (Milan U. ; Technol. Innovation Inst., UAE) ; Pasquale, Andrea (Milan U. ; Technol. Innovation Inst., UAE) ; Li, Xiaoyue (Nanyang Technol. U.) ; Wright, Andrew (LPHE, Lausanne) ; Farias, Renato M.S. (Technol. Innovation Inst., UAE ; Rio de Janeiro Federal U.) ; Giang, Khanh Uyen (Nanyang Technol. U.) ; Son, Jeongrak (Nanyang Technol. U.) ; Knörzer, Johannes (Zurich, ETH) ; Goh, Siong Thye (A-STAR, Singapore) et al.
Ground state preparation is a key area where quantum computers are expected to prove advantageous. [...]
TIF-UNIMI-2024-6 ; arXiv:2408.03987.
- 18.
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Strategies for optimizing double-bracket quantum algorithms / Xiaoyue, Li (Nanyang Technol. U.) ; Robbiati, Matteo (CERN ; Milan U.) ; Pasquale, Andrea (Milan U. ; Technol. Innovation Inst., UAE ; INFN, Milan) ; Pedicillo, Edoardo (Milan U. ; Technol. Innovation Inst., UAE) ; Wright, Andrew (Ecole Polytechnique, Lausanne) ; Carrazza, Stefano (CERN ; Milan U. ; Technol. Innovation Inst., UAE ; INFN, Milan) ; Gluza, Marek (Nanyang Technol. U.)
Recently double-bracket quantum algorithms have been proposed as a way to compile circuits for approximating eigenstates. [...]
arXiv:2408.07431.
- 11.
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An open-source framework for quantum hardware control / Pedicillo, Edoardo (Technol. Innovation Inst., UAE ; Milan U.) ; Candido, Alessandro (CERN) ; Efthymiou, Stavros (Technol. Innovation Inst., UAE) ; Sargsyan, Hayk (Technol. Innovation Inst., UAE) ; Tan, Yuanzheng Paul (Nanyang Technol. U.) ; Cereijo, Juan (Technol. Innovation Inst., UAE) ; Khoo, Jun Yong (A-STAR, Singapore) ; Pasquale, Andrea (Technol. Innovation Inst., UAE ; Milan U.) ; Robbiati, Matteo (Milan U. ; CERN) ; Carrazza, Stefano (Technol. Innovation Inst., UAE ; Milan U. ; CERN)
The development of quantum computers needs reliable quantum hardware and tailored software for controlling electronics specific to various quantum platforms. [...]
TIF-UNIMI-2024-10 CERN-TH-2024-126 ; CERN-TH-2024-126 ; arXiv:2407.21737.
- 6.
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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;
6.
Real-time error mitigation for variational optimization on quantum hardware / Robbiati, Matteo (Milan U. ; INFN, Milan ; CERN) ; Sopena, Alejandro (Madrid, IFT) ; Papaluca, Andrea (Australian Natl. U., Canberra ; Technol. Innovation Inst., UAE) ; Carrazza, Stefano (Milan U. ; INFN, Milan ; CERN ; Technol. Innovation Inst., UAE)
In this work we put forward the inclusion of error mitigation routines in the process of training Variational Quantum Circuit (VQC) models. [...]
arXiv:2311.05680 ; TIF-UNIMI-2023-10 ; CERN-TH-2023-207.
- 12 p.
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7.
Qibolab: an open-source hybrid quantum operating system / Efthymiou, Stavros (Technol. Innovation Inst., UAE) ; Orgaz-Fuertes, Alvaro (Technol. Innovation Inst., UAE) ; Carobene, Rodolfo (Technol. Innovation Inst., UAE ; Milan Bicocca U. ; INFN, Milan Bicocca) ; Cereijo, Juan (Technol. Innovation Inst., UAE) ; Pasquale, Andrea (Technol. Innovation Inst., UAE ; Milan U. ; INFN, Milan) ; Ramos-Calderer, Sergi (Technol. Innovation Inst., UAE ; ICC, Barcelona U.) ; Bordoni, Simone (Technol. Innovation Inst., UAE ; INFN, Rome ; U. Rome La Sapienza (main)) ; Fuentes-Ruiz, David (Technol. Innovation Inst., UAE) ; Candido, Alessandro (Milan U. ; INFN, Milan ; CERN) ; Pedicillo, Edoardo (Technol. Innovation Inst., UAE ; Milan U. ; INFN, Milan) et al.
We present Qibolab, an open-source software library for quantum hardware control integrated with the Qibo quantum computing middleware framework. Qibolab provides the software layer required to automatically execute circuit-based algorithms on custom self-hosted quantum hardware platforms. [...]
arXiv:2308.06313; TIF-UNIMI-2023-14; CERN-TH-2023-142.- 2024-02-12 - 20 p. - Published in : Quantum 8 (2024) 1247 Fulltext: 2308.06313 - PDF; document - PDF; Publication - PDF;
8.
Multi-variable integration with a variational quantum circuit / Cruz-Martinez, Juan M. (CERN) ; Robbiati, Matteo (CERN ; Milan U. ; INFN, Milan) ; Carrazza, Stefano (CERN ; Milan U. ; INFN, Milan ; Technol. Innovation Inst., UAE)
In this work we present a novel strategy to evaluate multi-variable integrals with quantum circuits. The procedure first encodes the integration variables into a parametric circuit. [...]
arXiv:2308.05657; TIF-UNIMI-2023-13; CERN-TH-2023-157.- 2024-06-25 - 12 p. - Published in : Quantum Sci. Technol. 9 (2024) 035053 Fulltext: document - PDF; 2308.05657 - PDF;
9.
Quantum simulation, control and calibration using Qibo / Robbiati, Matteo (speaker) (Università degli Studi e INFN Milano (IT))
We present the latest developments of Qibo, a full-stack and open-source framework for quantum computing. Qibo was initially born as a quantum circuit simulation tool, but over time we have developed new packages, through which quantum control (qibolab) and quantum calibration (qibocal) can be performed.Through its modular layout for backend abstraction it is possible to change efforlessy between different backends, including an high-performance simulator based on just-in-time compilation able to simulate quantum circuits with large number of qubits (greater than 35). Again due to its modularity, qibo can easily be adopted as a tool for controlling and calibrating self-hosted quantum devices.Our framework is designed for the research world; therefore, after briefly describing it, we will present some examples of work developed using Qibo in which we show the convenience of having access to a tool which can be used to design and test full-stack quantum algorithms.About the speakerMatteo Robbiati graduated in Physics from Università degli Studi di Milano in September 2022 [...]
2023 - 2373. QTI Lectures External link: Event details In : Quantum simulation, control and calibration using Qibo
10.
Determining probability density functions with adiabatic quantum computing / Robbiati, Matteo (CERN ; Milan U. ; INFN, Milan) ; Cruz-Martinez, Juan M. (CERN) ; Carrazza, Stefano (CERN ; Milan U. ; INFN, Milan ; Technol. Innovation Inst., UAE)
A reliable determination of probability density functions from data samples is still a relevant topic in scientific applications. [...]
arXiv:2303.11346 ; TIF-UNIMI-2023-9 ; CERN-TH-2023-042.
- 7 p.
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