Quantum computing and its application prospect in aerodynamics

被引：0
作者：
Lu F. [1 ]
Chen B. [1 ]
Jiang X. [1 ]
机构：
[1] Computational Aerodynamic Institute, China Aerodynamics Research and Development Center, Mianyang
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2020年 / 41卷 / 04期
关键词：
Aerodynamics; Quantum algorithm; Quantum computer; Quantum computing; Quantum software;
D O I：
10.7527/S1000-6893.2019.23508
中图分类号：
学科分类号：
摘要：
Quantum computing is one of the most important post Moore's Law computing technologies. It can harness the unparalleled computing capacity of the quantum computers, compared with classic computers. Quantum computing will bring a disruptive impact on various industries in the future. With respect to the opportunities and challenges brought by quantum computing to aerodynamics, we first present a detailed survey on the research progress of quantum computers, quantum algorithms, and quantum infrastructure software stack. Then, we select the most commonly used basic methods in the field of aerodynamics and present the recent advances in quantum equations in solving linear equations, interpolation operations, numerical integration, and search optimization. Next, the application prospects of quantum computing in the field of aerodynamics are systematically analyzed. Finally, we point out the research direction that needs to be focused on, including the quantum algorithm relevant to aerodynamics and the quantum software environment that should be built. © 2020, Press of Chinese Journal of Aeronautics. All right reserved.
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共 125 条
[41]  
Fu X.Q., Bao W.S., Huang H.L., Et al., Realization of t-bit semiclassical quantum Fourier transform on IBM's quantum cloud computer, Chinese Physics B, 28, 2, (2019)
[42]  
Cui J.Y., Liu Y.P., Guo J.S., Implementation of quantum Fourier transform using IBM quantum computer on cloud, Cryptography Technology and Application, 38, 4, pp. 19-24, (2019)
[43]  
Behera B.K., Seth S., Das A., Et al., Demonstration of entanglement purification and swapping protocol to design quantum repeater in IBM quantum computer, Quantum Information Processing, 18, 4, (2019)
[44]  
Mandviwalla A., Ohshiro K., Ji B., Implementing grover's algorithm on the ibm quantum computers, Proceedings of IEEE International Conference on Big Data, pp. 2531-2537, (2018)
[45]  
Wang H.H., He Y., Li Y.H., Et al., High-efficiency multiphoton boson sampling, Nature Photonics, 11, pp. 361-365, (2017)
[46]  
Cai X.D., Weedbrook C., Su Z.E., Et al., Experimental quantum computing to solve systems of linear equations, Physical Review Letters, 110, 23, (2013)
[47]  
Cai X.D., Wu D., Su Z.E., Et al., Entanglement-based machine learning on a quantum computer, Physical Review Letters, 114, 11, (2015)
[48]  
Zheng Y., Song C., Chen M.C., Et al., Solving systems of linear equations with a superconducting quantum processor, Physical Review Letters, 118, 21, (2017)
[49]  
Quantum Computing: Progress and Prospects, pp. 1-252, (2019)
[50]  
Tabuchi Y., Tamate S., Nakamura Y., Toward scalable superconducting quantum computer implementation, IEICE Transactions on Electronics, 3, pp. 212-216, (2019)
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