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.
4ڈپارٹمنٹ ڈی Física Quàntica i Astrofísica اور 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، تھیوریٹیکل فزکس ڈیپارٹمنٹ، CH-1211 جنیوا 23، سوئٹزرلینڈ۔
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.
اس کاغذ کو دلچسپ لگتا ہے یا اس پر بات کرنا چاہتے ہیں؟ SciRate پر تبصرہ کریں یا چھوڑیں۔.
خلاصہ
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.
مقبول خلاصہ
► BibTeX ڈیٹا
► حوالہ جات
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کی طرف سے حوالہ دیا گیا
[1] Jorge J. Martínez de Lejarza, Leandro Cieri, Michele Grossi, Sofia Vallecorsa, and Germán Rodrigo, “Loop Feynman integration on a quantum computer”, آر ایکس سی: 2401.03023, (2024).
[2] Chunyang Ding, Martin Di Federico, Michael Hatridge, Andrew Houck, Sebastien Leger, Jeronimo Martinez, Connie Miao, David I. Schuster, Leandro Stefanazzi, Chris Stoughton, Sara Sussman, Ken Treptow, Sho Uemura, Neal Wilcer, Helin Zhang, Chao Zhou, and Gustavo Cancelo, “Experimental advances with the QICK (Quantum Instrumentation Control Kit) for superconducting quantum hardware”, آر ایکس سی: 2311.17171, (2023).
[3] Alessandro D’Elia, Boulos Alfakes, Anas Alkhazaleh, Leonardo Banchi, Matteo Beretta, Stefano Carrazza, Fabio Chiarello, Daniele Di Gioacchino, Andrea Giachero, Felix Henrich, Alex Stephane Piedjou Komnang, Carlo Ligi, Giovanni Maccarrone, Massimo Macucci, Emanuele Palumbo, Andrea Pasquale, Luca Piersanti, Florent Ravaux, Alessio Rettaroli, Matteo Robbiati, Simone Tocci, and Claudio Gatti, “Characterization of a Transmon Qubit in a 3D Cavity for Quantum Machine Learning and Photon Counting”, آر ایکس سی: 2402.04322, (2024).
[4] Steve Abel, Juan Carlos Criado, and Michael Spannowsky, “Training Neural Networks with Universal Adiabatic Quantum Computing”, آر ایکس سی: 2308.13028, (2023).
[5] Matteo Robbiati، Alejandro Sopena، Andrea Papaluca، اور Stefano Carrazza، "کوانٹم ہارڈ ویئر پر تغیراتی اصلاح کے لیے حقیقی وقت میں غلطی کی تخفیف"، آر ایکس سی: 2311.05680, (2023).
[6] Edoardo Pedicillo, Andrea Pasquale, and Stefano Carrazza, “Benchmarking machine learning models for quantum state classification”, آر ایکس سی: 2309.07679, (2023).
مذکورہ بالا اقتباسات سے ہیں۔ SAO/NASA ADS (آخری بار کامیابی کے ساتھ 2024-02-15 02:03:05)۔ فہرست نامکمل ہو سکتی ہے کیونکہ تمام ناشرین مناسب اور مکمل حوالہ ڈیٹا فراہم نہیں کرتے ہیں۔
On Crossref کی طرف سے پیش خدمت کاموں کے حوالے سے کوئی ڈیٹا نہیں ملا (آخری کوشش 2024-02-15 02:03:03)۔
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