中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Quantum QR decomposition in the computational basis

文献类型:期刊论文

作者Ma, Guangsheng2; Li, Hongbo1; Zhao, Jiman2
刊名QUANTUM INFORMATION PROCESSING
出版日期2020-07-29
卷号19期号:8页码:16
关键词Quantum algorithms Computational basis Quantum QR decomposition
ISSN号1570-0755
DOI10.1007/s11128-020-02777-4
英文摘要In this paper, we propose a quantum algorithm for approximating the QR decomposition of any N x N matrix with a running time O(1/epsilon(2) N(2.5)polylog( N)), where epsilon is the desired precision. This quantum algorithm provides a polynomial speedup over the best classical algorithm, which has a running time O(N-3). Our quantum algorithm utilizes the quantum computation in the computational basis (QCCB) and a setting of updatable quantum memory. We further present a systematic approach to applying the QCCB to simulate any quantum algorithm. By this approach, the simulation time does not exceed O(N(2)polylog( N)) times the running time of the quantum algorithm originally designed with the amplitude encoding method, where N is the size of the problem.
资助项目NSFC[11671388] ; National Key Research Program[2018YFA0704705] ; National Natural Science Foundation of China[11471040] ; National Natural Science Foundation of China[11761131002]
WOS研究方向Physics
语种英语
WOS记录号WOS:000557536200002
出版者SPRINGER
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/51943]  
专题系统科学研究所
通讯作者Zhao, Jiman
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Beijing Normal Univ, Key Lab Math & Complex Syst, Minist Educ, Sch Math Sci, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Ma, Guangsheng,Li, Hongbo,Zhao, Jiman. Quantum QR decomposition in the computational basis[J]. QUANTUM INFORMATION PROCESSING,2020,19(8):16.
APA Ma, Guangsheng,Li, Hongbo,&Zhao, Jiman.(2020).Quantum QR decomposition in the computational basis.QUANTUM INFORMATION PROCESSING,19(8),16.
MLA Ma, Guangsheng,et al."Quantum QR decomposition in the computational basis".QUANTUM INFORMATION PROCESSING 19.8(2020):16.

入库方式: OAI收割

来源:数学与系统科学研究院

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