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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.
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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.
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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.
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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.
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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;
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Benchmarking machine learning models for quantum state classification
/ Pedicillo, Edoardo (Milan U. ; INFN, Milan ; Technol. Innovation Inst., UAE) ; Pasquale, Andrea (Milan U. ; INFN, Milan ; Technol. Innovation Inst., UAE) ; Carrazza, Stefano (Milan U. ; INFN, Milan ; Technol. Innovation Inst., UAE ; CERN)
Quantum computing is a growing field where the information is processed by two-levels quantum states known as qubits. Current physical realizations of qubits require a careful calibration, composed by different experiments, due to noise and decoherence phenomena. [...]
arXiv:2309.07679; TIF-UNIMI-2023-20.-
2024 - 9 p.
- Published in : EPJ Web Conf. 295 (2024) 12007
Fulltext: document - PDF; 2309.07679 - PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.12007
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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;
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Product Jacobi-Theta Boltzmann machines with score matching
/ Pasquale, Andrea (Milan U. ; INFN, Milan ; Technol. Innovation Inst., UAE) ; Krefl, Daniel (Ecole Polytechnique, Lausanne) ; Carrazza, Stefano (Milan U. ; INFN, Milan ; Technol. Innovation Inst., UAE ; CERN) ; Nielsen, Frank (Sony Computer Sci. Lab., Tokyo)
The estimation of probability density functions is a non trivial task that over the last years has been tackled with machine learning techniques. [...]
TIF-UNIMI-2023-8 ; arXiv:2303.05910.
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7 p.
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Towards an open-source framework to perform quantum calibration and characterization
/ Pasquale, Andrea (Technol. Innovation Inst., UAE ; INFN, Milan ; Milan U.) ; Efthymiou, Stavros (Technol. Innovation Inst., UAE) ; Ramos-Calderer, Sergi (Technol. Innovation Inst., UAE ; ICC, Barcelona U.) ; Wilkens, Jadwiga (Technol. Innovation Inst., UAE) ; Roth, Ingo (Technol. Innovation Inst., UAE) ; Carrazza, Stefano (Technol. Innovation Inst., UAE ; INFN, Milan ; Milan U. ; CERN)
In this proceedings we present Qibocal, an open-source software package for calibration and characterization of quantum processing units (QPUs) based on the Qibo framework. [...]
arXiv:2303.10397 ; TIF-UNIMI-2023-7.
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7 p.
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A quantum analytical Adam descent through parameter shift rule using Qibo
/ Robbiati, Matteo (Milan U. ; INFN, Milan ; CERN) ; Efthymiou, Stavros (Technol. Innovation Inst., UAE) ; Pasquale, Andrea (Milan U. ; INFN, Milan ; Technol. Innovation Inst., UAE) ; Carrazza, Stefano (Milan U. ; INFN, Milan ; CERN ; Technol. Innovation Inst., UAE)
In this proceedings we present quantum machine learning optimization experiments using stochastic gradient descent with the parameter shift rule algorithm. We first describe the gradient evaluation algorithm and its optimization procedure implemented using the Qibo framework. [...]
arXiv:2210.10787; CERN-TH-2022-168; TIF-UNIMI-2022-20.-
2022-11-13 - 6 p.
- Published in : PoS: ICHEP2022 (2022) , pp. 206
Fulltext: 2210.10787 - PDF; document - PDF;
In : 41st International Conference on High Energy Physics (ICHEP 2022), Bologna, Italy, 6 - 13 Jul 2022, pp.206
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