Accelerating HPC With Quantum Computing: It Is a Software Challenge Too

被引:18
作者
Schulz, Martin [1 ]
Ruefenacht, Martin [2 ]
Kranzlmueller, Dieter [3 ]
Schulz, Laura Brandon [4 ]
机构
[1] Tech Univ Munich, Dept Comp Engn, Comp Architecture & Parallel Syst, D-80333 Munich, Germany
[2] Bavarian Acad Sci & Humanities, Leibniz Supercomp Ctr, Dept Quantum Comp & Technol, HPCQC Integrat, D-85748 Garching, Germany
[3] Ludwig Maximilians Univ Munchen, Commun Syst & Syst Programming, Inst Informat, D-80538 Munich, Germany
[4] Bavarian Acad Sci & Humanities, Leibniz Supercomp Ctr, Dept Quantum Comp & Technol, Strateg Dev & Partnerships, D-85748 Munich, Germany
关键词
9;
D O I
10.1109/MCSE.2022.3221845
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With quantum computing (QC) maturing, high-performance computing (HPC) centers are already preparing to host early-phase production versions of such systems. Unlike their experimental predecessors in physics laboratories, with a very small and dedicated user community, this next generation of systems needs to serve a wider user community and must work in concert with existing HPC systems and software stacks. This article describes our vision for an integrated ecosystem that combines existing HPC and evolving quantum software stacks into a single system to enable a common and continuous user experience. This integration comes with several major challenges as quantum systems pose significantly different requirements including increased need for compilation at run time, long optimization times, statistical evaluations of results, and the need to work with few centralized resources. To overcome these challenges, new scheduling approaches on the HPC side and new programming approaches on the QC side are required.
引用
收藏
页码:60 / 64
页数:5
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