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

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, de...

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Những tác giả chính: 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
Ngôn ngữ:eng
Được phát hành: 2022
Những chủ đề:
Truy cập trực tuyến:http://cds.cern.ch/record/2805596
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author 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
author_facet 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
author_sort Humble, Travis S.
collection CERN
description 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.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28055962023-10-20T02:30:01Zhttp://cds.cern.ch/record/2805596engHumble, Travis S.Delgado, AndreaPooser, RaphaelSeck, ChristopherBennink, RyanLeyton-Ortega, VicenteWang, C.-C. JosephDumitrescu, EugeneMorris, TitusHamilton, KathleenLyakh, DmitryDate, PrasannaWang, YanPeters, Nicholas A.Evans, Katherine J.Demarteau, MarcelMcCaskey, AlexNguyen, ThienClark, SusanReville, MelissaDi Meglio, AlbertoGrossi, MicheleVallecorsa, SofiaBorras, KerstinJansen, KarlKrücker, DirkSnowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Researchquant-phGeneral Theoretical PhysicsQuantum 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.arXiv:2203.07091oai:cds.cern.ch:28055962022-03-14
spellingShingle quant-ph
General Theoretical Physics
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
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
title Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
title_full Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
title_fullStr Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
title_full_unstemmed Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
title_short Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
title_sort snowmass white paper: quantum computing systems and software for high-energy physics research
topic quant-ph
General Theoretical Physics
url http://cds.cern.ch/record/2805596
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