Scalable algorithm simplification using quantum AND logic
文献类型:期刊论文
作者 | Chu, Ji5,6,7; He, Xiaoyu3,4; Zhou, Yuxuan2,5,6,7; Yuan, Jiahao2,5,6,7; Zhang, Libo5,6,7; Guo, Qihao5,6,7; Hai, Yongju5,6,7; Han, Zhikun5,6,7; Hu, Chang-Kang5,6,7; Huang, Wenhui2,5,6,7 |
刊名 | NATURE PHYSICS
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出版日期 | 2022-11-14 |
页码 | 7 |
ISSN号 | 1745-2473 |
DOI | 10.1038/s41567-022-01813-7 |
英文摘要 | 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. |
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 |
语种 | 英语 |
WOS记录号 | WOS:000883265700003 |
出版者 | NATURE PORTFOLIO |
源URL | [http://119.78.100.204/handle/2XEOYT63/19901] ![]() |
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.Univ Chinese Acad Sci, CAS Ctr Excellence Topol Quantum Computat, Beijing, Peoples R China 2.Southern Univ Sci & Technol, Dept Phys, Shenzhen, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 5.Southern Univ Sci & Technol, Guangdong Prov Key Lab Quantum Sci & Engn, Shenzhen, Guangdong, Peoples R China 6.Int Quantum Acad, Shenzhen, Guangdong, Peoples R China 7.Southern Univ Sci & Technol, Shenzhen Inst Quantum Sci & Engn, Shenzhen, Guangdong, Peoples R China |
推荐引用方式 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. |
入库方式: OAI收割
来源:计算技术研究所
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