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| Hauptseite > Publikationsdatenbank > < QC | HPC >: Quantum for HPC > print |
| 001 | 916633 | ||
| 005 | 20230123101855.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.5555960 |2 doi |
| 037 | _ | _ | |a FZJ-2022-06384 |
| 088 | _ | _ | |a 0 |2 Other |
| 100 | 1 | _ | |a Bartsch, Valeria |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a < QC | HPC >: Quantum for HPC |
| 260 | _ | _ | |c 2021 |b ETP4HPC |
| 300 | _ | _ | |a 16 p |
| 336 | 7 | _ | |a report |2 DRIVER |
| 336 | 7 | _ | |a REPORT |2 ORCID |
| 336 | 7 | _ | |a Report |0 10 |2 EndNote |
| 336 | 7 | _ | |a Output Types/Report |2 DataCite |
| 336 | 7 | _ | |a Report |b report |m report |0 PUB:(DE-HGF)29 |s 1672813854_28290 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a TECHREPORT |2 BibTeX |
| 520 | _ | _ | |a Quantum Computing (QC) describes a new way of computing based on the principles of quantum mechanics. From a High Performance Computing (HPC) perspective, QC needs to be integrated: at a system level, where quantum computer technologies need to be integrated in HPC clusters; at a programming level, where the new disruptive ways of programming devices call for a full hardware-software stack to be built; at an application level, where QC is bound to lead to disruptive changes in the complexity of some applications so that compute-intensive or intractable problems in the HPC domain might become tractable in the future. The White Paper QC for HPC focuses on the technology integration of QC in HPC clusters, gives an overview of the full hardware-software stack and QC emulators, and highlights promising customised QC algorithms for near-term quantum computers and its impact on HPC applications. In addition to universal quantum computers, we will describe non-universal QC where appropriate. Recent research references will be used to cover the basic concepts. Thetarget audience of this paper is the European HPC community: members of HPC centres, HPC algorithm developers, scientists interested in the co-design for quantum hardware, benchmarking, etc. |
| 536 | _ | _ | |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5111 |c POF4-511 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Colin de Verdière, Guillaume |0 0000-0002-8835-4123 |b 1 |
| 700 | 1 | _ | |a Nominé, Jean-Philippe |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Ottaviani, Daniele |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Dragoni, Daniele |0 0000-0002-1644-5675 |b 4 |
| 700 | 1 | _ | |a Bouazza, Chayma |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Magugliani, Fabrizio |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Bowden, David |0 0000-0003-4623-3806 |b 7 |
| 700 | 1 | _ | |a Allouche, Cyril |0 0000-0002-9699-4219 |b 8 |
| 700 | 1 | _ | |a Johansson, Mikael |0 0000-0002-9793-8235 |b 9 |
| 700 | 1 | _ | |a Terzo, Olivier |0 0000-0001-8482-2607 |b 10 |
| 700 | 1 | _ | |a Scarabosio, Andrea |0 0000-0002-7372-6975 |b 11 |
| 700 | 1 | _ | |a Vitali, Giacomo |0 0000-0002-3056-796X |b 12 |
| 700 | 1 | _ | |a Shagieva, Farida |0 0000-0003-4881-8365 |b 13 |
| 700 | 1 | _ | |a Michielsen, Kristel |0 P:(DE-Juel1)138295 |b 14 |
| 773 | _ | _ | |a 10.5281/ZENODO.5555960 |
| 909 | C | O | |o oai:juser.fz-juelich.de:916633 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 14 |6 P:(DE-Juel1)138295 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5111 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a report |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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