Qibolab: an open-source hybrid quantum operating system

Stavros Efthymiou1, Alvaro Orgaz-Fuertes1, Rodolfo Carobene2,3,1, Juan Cereijo1,4, Andrea Pasquale1,5,6, Sergi Ramos-Calderer1,4, Simone Bordoni1,7,8, David Fuentes-Ruiz1, Alessandro Candido5,6,9, Edoardo Pedicillo1,5,6, Matteo Robbiati5,9, Yuanzheng Paul Tan10, Jadwiga Wilkens1, Ingo Roth1, José Ignacio Latorre1,11,4, and Stefano Carrazza9,5,6,1

1Quantum Research Center, Technology Innovation Institute, Abu Dhabi, UAE.
2Dipartimento di Fisica, Università di Milano-Bicocca, I-20126 Milano, Italy.
3INFN - Sezione di Milano Bicocca, I-20126 Milano, Italy.
4Departament de Física Quàntica i Astrofísica and Institut de Ciències del Cosmos (ICCUB), Universitat de Barcelona, Barcelona, Spain.
5TIF Lab, Dipartimento di Fisica, Università degli Studi di Milano, Italy
6INFN, Sezione di Milano, I-20133 Milan, Italy.
7Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Roma, Rome, Italy
8La Sapienza University of Rome, dep. of Physics, Rome, Italy
9CERN, Theoretical Physics Department, CH-1211 Geneva 23, Switzerland.
10Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore.
11Centre for Quantum Technologies, National University of Singapore, Singapore.

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We present $\texttt{Qibolab}$, an open-source software library for quantum hardware control integrated with the $\texttt{Qibo}$ quantum computing middleware framework. $\texttt{Qibolab}$ provides the software layer required to automatically execute circuit-based algorithms on custom self-hosted quantum hardware platforms. We introduce a set of objects designed to provide programmatic access to quantum control through pulses-oriented drivers for instruments, transpilers and optimization algorithms. $\texttt{Qibolab}$ enables experimentalists and developers to delegate all complex aspects of hardware implementation to the library so they can standardize the deployment of quantum computing algorithms in a extensible hardware-agnostic way, using superconducting qubits as the first officially supported quantum technology. We first describe the status of all components of the library, then we show examples of control setup for superconducting qubits platforms. Finally, we present successful application results related to circuit-based algorithms.

We present Qibolab, an open-source software library for quantum hardware control integrated with the Qibo, a hybrid quantum operating system. Qibolab provides the software layer required to automatically execute circuit-based algorithms on custom self-hosted quantum hardware platforms. This software enables experimentalists and quantum software developers to delegate all complex aspects of hardware implementation to the library so they can standardize the deployment of quantum computing algorithms in a extensible hardware-agnostic way.

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[4] Steve Abel, Juan Carlos Criado, and Michael Spannowsky, "Training Neural Networks with Universal Adiabatic Quantum Computing", arXiv:2308.13028, (2023).

[5] Matteo Robbiati, Alejandro Sopena, Andrea Papaluca, and Stefano Carrazza, "Real-time error mitigation for variational optimization on quantum hardware", arXiv:2311.05680, (2023).

[6] Edoardo Pedicillo, Andrea Pasquale, and Stefano Carrazza, "Benchmarking machine learning models for quantum state classification", arXiv:2309.07679, (2023).

The above citations are from SAO/NASA ADS (last updated successfully 2024-02-26 14:34:06). The list may be incomplete as not all publishers provide suitable and complete citation data.

On Crossref's cited-by service no data on citing works was found (last attempt 2024-02-26 14:34:04).