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Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group

Authors :
Di Meglio, Alberto
Jansen, Karl
Tavernelli, Ivano
Alexandrou, Constantia
Arunachalam, Srinivasan
Bauer, Christian W.
Borras, Kerstin
Carrazza, Stefano
Crippa, Arianna
Croft, Vincent
de Putter, Roland
Delgado, Andrea
Dunjko, Vedran
Egger, Daniel J.
Fernandez-Combarro, Elias
Fuchs, Elina
Funcke, Lena
Gonzalez-Cuadra, Daniel
Grossi, Michele
Halimeh, Jad C.
Holmes, Zoe
Kuhn, Stefan
Lacroix, Denis
Lewis, Randy
Lucchesi, Donatella
Martinez, Miriam Lucio
Meloni, Federico
Mezzacapo, Antonio
Montangero, Simone
Nagano, Lento
Radescu, Voica
Ortega, Enrique Rico
Roggero, Alessandro
Schuhmacher, Julian
Seixas, Joao
Silvi, Pietro
Spentzouris, Panagiotis
Tacchino, Francesco
Temme, Kristan
Terashi, Koji
Tura, Jordi
Tuysuz, Cenk
Vallecorsa, Sofia
Wiese, Uwe-Jens
Yoo, Shinjae
Zhang, Jinglei
Publication Year :
2023

Abstract

Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage, namely a significant (in some cases exponential) speed-up of numerical simulations. The rapid development of hardware devices with various realizations of qubits enables the execution of small scale but representative applications on quantum computers. In particular, the high-energy physics community plays a pivotal role in accessing the power of quantum computing, since the field is a driving source for challenging computational problems. This concerns, on the theoretical side, the exploration of models which are very hard or even impossible to address with classical techniques and, on the experimental side, the enormous data challenge of newly emerging experiments, such as the upgrade of the Large Hadron Collider. In this roadmap paper, led by CERN, DESY and IBM, we provide the status of high-energy physics quantum computations and give examples for theoretical and experimental target benchmark applications, which can be addressed in the near future. Having the IBM 100 x 100 challenge in mind, where possible, we also provide resource estimates for the examples given using error mitigated quantum computing.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2307.03236
Document Type :
Working Paper