Quantum Computing Applications in Future Colliders

被引:5
|
作者
Gray, Heather M. [1 ,2 ]
Terashi, Koji [3 ]
机构
[1] Univ Calif, Dept Phys, Berkeley, CA 94720 USA
[2] Lawrence Berkeley Natl Lab, Phys Div, Berkeley, CA 94720 USA
[3] Univ Tokyo, Int Ctr Elementary Particle Phys ICEPP, Tokyo, Japan
来源
FRONTIERS IN PHYSICS | 2022年 / 10卷
关键词
quantum computing; future collider experiments; quantum machine learning; quantum annealers; digital quantum computer; pattern recognition; TRACK;
D O I
10.3389/fphy.2022.864823
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
High-energy physics is facing a daunting computing challenge with the large amount of data expected from the HL-LHC and other future colliders. In addition, the landscape of computation has been expanding dramatically with technologies beyond the standard x86 CPU architecture becoming increasingly available. Both of these factors necessitate an extensive and broad-ranging research and development campaign. As quantum computation has been evolving rapidly over the past few years, it is important to evaluate how quantum computation could be one potential avenue for development for future collider experiments. A wide variety of applications have been considered by different authors. We review here selected applications of quantum computing to high-energy physics, including topics in simulation, reconstruction, and the use of machine learning, and their challenges. In addition, recent advances in quantum computing technology to enhance such applications are briefly highlighted. Finally, we will discuss how such applications might transform the workflows of future collider experiments and highlight other potential applications.
引用
收藏
页数:10
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