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题名

Provably superior accuracy in quantum stochastic modeling

作者
发表日期
2023-08-01
DOI
发表期刊
ISSN
2469-9926
EISSN
2469-9934
卷号108期号:2
摘要
In the design of stochastic models, there is a constant trade-off between model complexity and accuracy. Here we prove that quantum models enable a more favorable trade-off. We present a technique for identifying fundamental upper bounds on the predictive accuracy of dimensionality-constrained classical models. We identify quantum models that surpass this bound by creating an algorithm that learns quantum models given time-series data. We demonstrate that this quantum accuracy advantage is attainable in a present-day noisy quantum device. These results illustrate the immediate relevance of quantum technologies to time-series analysis and offer an instance where their resulting accuracy advantage can be provably established.
相关链接[Scopus记录]
收录类别
EI ; SCI
语种
英语
学校署名
其他
资助项目
Agency for Science, Technology and Research (A*STAR)[NRF2021-QEP2-02-P06] ; Foundational Questions Institute and Fetzer Franklin Fund["RG77/22","RG146/20","QEP1.0","QEP-SF3","FQXI R-710-000-146-720"] ; Quantum Engineering Program[QEP-SP3] ; Australian Research Council (ARC) Centre of Excellence[CE170100012] ; National Natural Science Foundation of China["12050410246","1200509","12050410245"] ; City University of Hong Kong[9610623]
WOS研究方向
Optics ; Physics
WOS类目
Optics ; Physics, Atomic, Molecular & Chemical
WOS记录号
WOS:001130447800003
出版者
EI入藏号
20233314573768
EI主题词
Economic and social effects ; Stochastic models ; Stochastic systems
EI分类号
Control Systems:731.1 ; Probability Theory:922.1 ; Mathematical Statistics:922.2 ; Systems Science:961 ; Social Sciences:971
ESI学科分类
PHYSICS
Scopus记录号
2-s2.0-85167865660
来源库
Scopus
引用统计
被引频次[WOS]:3
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/559768
专题理学院_物理系
量子科学与工程研究院
作者单位
1.Centre for Quantum Technologies,National University of Singapore,Singapore,3 Science Drive 2,117543,Singapore
2.Nanyang Quantum Hub,School of Physical and Mathematical Sciences,Nanyang Technological University,Singapore,637371,Singapore
3.Institute for Quantum Optics and Quantum Information,Austrian Academy of Sciences,Vienna,Boltzmanngasse 3,1090,Austria
4.Shenzhen Institute for Quantum Science and Engineering,Department of Physics,Southern University of Science and Technology,Shenzhen,518055,China
5.Centre for Quantum Computation and Communication Technology,Centre for Quantum Dynamics,Griffith University,Brisbane,Yuggera Country,4111,Australia
6.Dahlem Center for Complex Quantum Systems,Freie Universität Berlin,Berlin,14195,Germany
7.MajuLab,CNRS-UNS-NUS-NTU International Joint Research Unit,Umi 3654,Singapore,117543,Singapore
8.Department of Physics,City University of Hong Kong,Kowloon,83 Tat Chee Avenue,Hong Kong
推荐引用方式
GB/T 7714
Yang,Chengran,Garner,Andrew J.P.,Liu,Feiyang,et al. Provably superior accuracy in quantum stochastic modeling[J]. Physical Review A,2023,108(2).
APA
Yang,Chengran.,Garner,Andrew J.P..,Liu,Feiyang.,Tischler,Nora.,Thompson,Jayne.,...&Dahlsten,Oscar.(2023).Provably superior accuracy in quantum stochastic modeling.Physical Review A,108(2).
MLA
Yang,Chengran,et al."Provably superior accuracy in quantum stochastic modeling".Physical Review A 108.2(2023).
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