Quantum computing with and for many-body physics

被引:11
|
作者
Ayral, Thomas [1 ]
Besserve, Pauline [1 ,3 ]
Lacroix, Denis [2 ]
Guzman, Edgar Andres Ruiz [2 ]
机构
[1] Eviden Quantum Lab, F-78340 Les Clayes Sous Bois, France
[2] Univ Paris Saclay, IJCLab, CNRS IN2P3, F-91405 Orsay, France
[3] Ctr Phys Theor, F-91120 Palaiseau, France
来源
EUROPEAN PHYSICAL JOURNAL A | 2023年 / 59卷 / 10期
基金
欧盟地平线“2020”;
关键词
MONTE-CARLO; PERTURBATION-THEORY; TENSOR NETWORKS; SHELL-MODEL; SIMULATION; SYSTEMS; COMPUTATION; ALGORITHMS; COMPLEXITY; EIGENSOLVER;
D O I
10.1140/epja/s10050-023-01141-1
中图分类号
O57 [原子核物理学、高能物理学];
学科分类号
070202 ;
摘要
Quantum computing technologies are making steady progress. This has opened new opportunities for tackling problems whose complexity prevents their description on classical computers. A prototypical example of these complex problems are interacting quantum many-body systems: on the one hand, these systems are known to become rapidly prohibitive to describe using classical computers when their size increases. On the other hand, these systems are precisely those which are used in the laboratory to build quantum computing platforms. This arguably makes them one of the most promising early use cases of quantum computing. In this review, we explain how quantum many-body systems are used to build quantum processors, and how, in turn, current and future quantum processors can be used to describe large many-body systems of fermions such as electrons and nucleons. The review includes an introduction to analog and digital quantum devices, the mapping of Fermi systems and their Hamiltonians onto qubit registers, as well as an overview of methods to access their static and dynamical properties. We also highlight some aspects related to entanglement, and touch on the description, influence and processing of decoherence in quantum devices.
引用
收藏
页数:46
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