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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...
Những tác giả chính: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Ngôn ngữ: | eng |
Được phát hành: |
2022
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Những chủ đề: | |
Truy cập trực tuyến: | http://cds.cern.ch/record/2805596 |
_version_ | 1780972932751687680 |
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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. |
id | cern-2805596 |
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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