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Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research

Authors :
Humble, Travis S.
Delgado, Andrea
Pooser, Raphael
Seck, Christopher
Bennink, Ryan
Leyton-Ortega, Vicente
Wang, C. -C. Joseph
Dumitrescu, Eugene
Morris, Titus
Hamilton, Kathleen
Lyakh, Dmitry
Date, Prasanna
Wang, Yan
Peters, Nicholas A.
Evans, Katherine J.
Demarteau, Marcel
McCaskey, Alex
Nguyen, Thien
Clark, Susan
Reville, Melissa
Di Meglio, Alberto
Grossi, Michele
Vallecorsa, Sofia
Borras, Kerstin
Jansen, Karl
Krücker, Dirk
Publication Year :
2022

Abstract

Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development of novel computational tools for modeling and simulation, detection and classification, data analysis, and forecasting of high-energy physics (HEP) experiments. While the emerging hardware, software, and applications of quantum computing are exciting opportunities, significant gaps remain in integrating such techniques into the HEP community research programs. Here we identify both the challenges and opportunities for developing quantum computing systems and software to advance HEP discovery science. We describe opportunities for the focused development of algorithms, applications, software, hardware, and infrastructure to support both practical and theoretical applications of quantum computing to HEP problems within the next 10 years.<br />Comment: A contribution to the 2021 Snowmass Proceedings, Computational Frontier, Topical Group on Quantum Computing

Subjects

Subjects :
Quantum Physics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2203.07091
Document Type :
Working Paper