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Scalable algorithm simplification using quantum AND logic
Chu, Ji1,2,3; He, Xiaoyu4,5; Zhou, Yuxuan1,2,3,6; Yuan, Jiahao1,2,3,6; Zhang, Libo1,2,3; Guo, Qihao1,2,3; Hai, Yongju1,2,3; Han, Zhikun1,2,3; Hu, Chang-Kang1,2,3; Huang, Wenhui1,2,3,6; Jia, Hao1,2,3; Jiao, Dawei1,2,3; Li, Sai1,2,3; Liu, Yang1,2,3; Ni, Zhongchu1,2,3,6; Nie, Lifu1,2,3; Pan, Xianchuang1,2,3; Qiu, Jiawei1,2,3,6; Wei, Weiwei1,2,3; Nuerbolati, Wuerkaixi1,2,3; Yang, Zusheng1,2,3; Zhang, Jiajian1,2,3,6; Zhang, Zhida1,2,3,6; Zou, Wanjing1,2,3; Chen, Yuanzhen1,2,3,6; Deng, Xiaowei1,2,3; Deng, Xiuhao1,2,3; Hu, Ling1,2,3; Li, Jian1,2,3; Liu, Song1,2,3; Lu, Yao1,2,3; Niu, Jingjing1,2,3; Tan, Dian1,2,3; Xu, Yuan1,2,3; Yan, Tongxing1,2,3; Zhong, Youpeng1,2,3; Yan, Fei1,2,3; Sun, Xiaoming4,7; Yu, Dapeng1,2,3,6
2022-11-14
发表期刊NATURE PHYSICS
ISSN1745-2473
页码7
摘要Implementing quantum algorithms on realistic devices requires translating high-level global operations into sequences of hardware-native logic gates, a process known as quantum compiling. Physical limitations, such as constraints in connectivity and gate alphabets, often result in unacceptable implementation costs. To enable successful near-term applications, it is crucial to optimize compilation by exploiting the capabilities of existing hardware. Here we implement a resource-efficient construction for a quantum version of AND logic that can reduce the compilation overhead, enabling the execution of key quantum circuits. On a high-scalability superconducting quantum processor, we demonstrate low-depth synthesis of high-fidelity generalized Toffoli gates with up to 8 qubits and Grover's search algorithm in a search space of up to 64 entries. Our experimental demonstration illustrates a scalable and widely applicable approach to implementing quantum algorithms, bringing more meaningful quantum applications on noisy devices within reach. To run algorithms on a computer they are broken down into logical operations that are implemented in hardware. A quantum logical AND gate has now been demonstrated, which could substantially improve the efficiency of near-term quantum computers.
DOI10.1038/s41567-022-01813-7
收录类别SCI
语种英语
资助项目Key-Area Research and Development Program of GuangDong Province[2018B030326001] ; National Natural Science Foundation of China[U1801661] ; National Natural Science Foundation of China[61832003] ; Guangdong Innovative and Entrepreneurial Research Team Program[2016ZT06D348] ; Guangdong Provincial Key Laboratory[2019B121203002] ; Natural Science Foundation of Guangdong Province[2017B030308003] ; Science, Technology and Innovation Commission of Shenzhen Municipality[KYTDPT20181011104202253] ; Shenzhen-Hong Kong Cooperation Zone for Technology and Innovation[HZQB-KCZYB-2020050] ; NSF of Beijing[Z190012] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB28000000]
WOS研究方向Physics
WOS类目Physics, Multidisciplinary
WOS记录号WOS:000883265700003
出版者NATURE PORTFOLIO
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/19902
专题中国科学院计算技术研究所期刊论文
通讯作者Yan, Fei; Sun, Xiaoming; Yu, Dapeng
作者单位1.Southern Univ Sci & Technol, Shenzhen Inst Quantum Sci & Engn, Shenzhen, Guangdong, Peoples R China
2.Int Quantum Acad, Shenzhen, Guangdong, Peoples R China
3.Southern Univ Sci & Technol, Guangdong Prov Key Lab Quantum Sci & Engn, Shenzhen, Guangdong, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
5.Univ Chinese Acad Sci, Beijing, Peoples R China
6.Southern Univ Sci & Technol, Dept Phys, Shenzhen, Peoples R China
7.Univ Chinese Acad Sci, CAS Ctr Excellence Topol Quantum Computat, Beijing, Peoples R China
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GB/T 7714
Chu, Ji,He, Xiaoyu,Zhou, Yuxuan,et al. Scalable algorithm simplification using quantum AND logic[J]. NATURE PHYSICS,2022:7.
APA Chu, Ji.,He, Xiaoyu.,Zhou, Yuxuan.,Yuan, Jiahao.,Zhang, Libo.,...&Yu, Dapeng.(2022).Scalable algorithm simplification using quantum AND logic.NATURE PHYSICS,7.
MLA Chu, Ji,et al."Scalable algorithm simplification using quantum AND logic".NATURE PHYSICS (2022):7.
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