- 必威体育下载

姓名
邮箱
手机号码
标题
留言内容
验证码

Abstract

Machine learning is widely applied in various areas due to its advantages in pattern recognition, but it is severely restricted by the computing power of classic computers. In recent years, with the rapid development of quantum technology, quantum machine learning has been verified experimentally verified in many quantum systems, and exhibited great advantages over classical algorithms for certain specific problems. In the present review, we mainly introduce two typical spin systems, nuclear magnetic resonance and nitrogen-vacancy centers in diamond, and review some representative experiments in the field of quantum machine learning, which were carried out in recent years.

Keywords:

Authors and contacts

Corresponding author:Lu Da-Wei,ludw@sustc.edu.cn

Funds:Project supported by the National Key Research and Development Program of China (Grant No. 2019YFA0308100), the National Natural Science Foundation of China (Grant Nos. 12075110, 11975117, 11905099, 11875159, U1801661), the Guangdong Basic and Applied Basic Research Foundation, China (Grant No. 2019A1515011383), the Guangdong International Collaboration Program, China (Grant No. 2020A0505100001), the Science, Technology, and Innovation Commission of Shenzhen Municipality, China (Grant Nos. ZDSYS20170303165926217, KQTD20190929173815000, JCYJ20200109140803865, JCYJ20170412152620376, JCYJ20180302174036418), the Pengcheng Scholars, the Guangdong Innovative and Entrepreneurial Research Team Program, China (Grant No. 2019ZT08C044), and the Guangdong Provincial Key Laboratory, China (Grant No. 2019B121203002)

FullText HTML: translate this paragraph

References

[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
[53]
[54]
[55]
[56]
[57]
[58]
[59]
[60]
[61]
[62]
[63]
[64]
[65]
[66]

Cited By

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

DownLoad: Full-Size Img PowerPoint

[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20]
[21]
[22]
[23]
[24]
[25]
[26]
[27]
[28]
[29]
[30]
[31]
[32]
[33]
[34]
[35]
[36]
[37]
[38]
[39]
[40]
[41]
[42]
[43]
[44]
[45]
[46]
[47]
[48]
[49]
[50]
[51]
[52]
[53]
[54]
[55]
[56]
[57]
[58]
[59]
[60]
[61]
[62]
[63]
[64]
[65]
[66]

[1]	He Jian, Jia Yan-Wei, Tu Ju-Ping, Xia Tian, Zhu Xiao-Hua, Huang Ke, An Kang, Liu Jin-Long, Chen Liang-Xian, Wei Jun-Jun, Li Cheng-Ming.Generation of shallow nitrogen-vacancy centers in diamond with carbon ion implantation. Acta Physica Sinica, 2022, 71(18): 188102.doi:10.7498/aps.71.20220794
[2]	Sun Tai-Ping, Wu Yu-Chun, Guo Guo-Ping.Quantum generative models for data generation. Acta Physica Sinica, 2021, 70(14): 140304.doi:10.7498/aps.70.20210930
[3]	Zhao Jian, Chen Zhao-Yun, Zhuang Xi-Ning, Xue Cheng, Wu Yu-Chun, Guo Guo-Ping.Quantum state preparation and its prospects in quantum machine learning. Acta Physica Sinica, 2021, 70(14): 140307.doi:10.7498/aps.70.20210958
[4]	Feng Yuan-Yao, Li Zhong-Hao, Zhang Yang, Cui Ling-Xiao, Guo Qi, Guo Hao, Wen Huan-Fei, Liu Wen-Yao, Tang Jun, Liu Jun.Optimization of optical control of nitrogen vacancy centers in solid diamond. Acta Physica Sinica, 2020, 69(14): 147601.doi:10.7498/aps.69.20200072
[5]	Kong Xiang-Yu, Zhu Yuan-Ye, Wen Jing-Wei, Xin Tao, Li Ke-Ren, Long Gui-Lu.New research progress of nuclear magnetic resonance quantum information processing. Acta Physica Sinica, 2018, 67(22): 220301.doi:10.7498/aps.67.20180754
[6]	Pan Jian, Yu Qi, Peng Xin-Hua.Experimental technique for multi-qubit nuclear magnetic resonance system. Acta Physica Sinica, 2017, 66(15): 150302.doi:10.7498/aps.66.150302
[7]	Wu Liang, Chen Fang, Huang Chong-Yang, Ding Guo-Hui, Ding Yi-Ming.Multi-exponential inversion of T2 spectrum in NMR based on improved nonlinear fitting. Acta Physica Sinica, 2016, 65(10): 107601.doi:10.7498/aps.65.107601
[8]	Li Zheng, Zhou Rui, Zheng Guo-Qing.Quantum criticalities in carrier-doped iron-based superconductors. Acta Physica Sinica, 2015, 64(21): 217404.doi:10.7498/aps.64.217404
[9]	Tian Bao-Feng, Zhou Yuan-Yuan, Wang Yue, Li Zhen-Yu, Yi Xiao-Feng.Noise cancellation method for full-wave magnetic resonance sounding signal based on independent component analysis. Acta Physica Sinica, 2015, 64(22): 229301.doi:10.7498/aps.64.229301
[10]	Ling Hong-Sheng, Tian Jia-Xin, Zhou Shu-Na, Wei Da-Xiu.Time-optimized quantum QFT gate in an Ising coupling system. Acta Physica Sinica, 2015, 64(17): 170301.doi:10.7498/aps.64.170301
[11]	Li Jun, Cui Jiang-Yu, Yang Xiao-Dong, Luo Zhi-Huang, Pan Jian, Yu Qi, Li Zhao-Kai, Peng Xin-Hua, Du Jiang-Feng.Quantum control of nuclear magnetic resonance spin systems. Acta Physica Sinica, 2015, 64(16): 167601.doi:10.7498/aps.64.167601
[12]	Li Xin, Xiao Li-Zhi, Liu Hua-Bing, Zhang Zong-Fu, Guo Bao-Xin, Yu Hui-Jun, Zong Fang-Rong.Optimization of nuclear magnetic resonance refocusing pulses to enhance signal intensity in gradient B0 field. Acta Physica Sinica, 2013, 62(14): 147602.doi:10.7498/aps.62.147602
[13]	Liu Dong-Qi, Chang Yan-Chun, Liu Gang-Qin, Pan Xin-Yu.Electron spin studies of nitrogen vacancy centers in nanodiamonds. Acta Physica Sinica, 2013, 62(16): 164208.doi:10.7498/aps.62.164208
[14]	Yao Xi-Wei, Zeng Bi-Rong, Liu Qin, Mu Xiao-Yang, Lin Xing-Cheng, Yang Chun, Pan Jian, Chen Zhong.Subspace quantum process tomography via nuclear magnetic resonance. Acta Physica Sinica, 2010, 59(10): 6837-6841.doi:10.7498/aps.59.6837
[15]	Li Shao, Ren Yu-Feng, Wang Ning, Tian Ye, Chu Hai-Feng, Li Song-Lin, Chen Ying-Fei, Li Jie, Chen Geng-Hua, Zheng Dong-Ning.Detection of nuclear magnetic resonance in the microtesla range using a high Tc dc-superconducting quantum interference device. Acta Physica Sinica, 2009, 58(8): 5744-5749.doi:10.7498/aps.58.5744
[16]	Pan Ke-Jia, Chen Hua, Tan Yong-Ji.Multi-exponential inversion of T2 spectrum in NMR based on differential evolution algorithm. Acta Physica Sinica, 2008, 57(9): 5956-5961.doi:10.7498/aps.57.5956
[17]	Xu Feng, Liu Tang-Yan, Huang Yong-Ren.Theoretical description and numerical computation of the relaxation of multi-spin system in the presence of an RF field. Acta Physica Sinica, 2006, 55(6): 3054-3059.doi:10.7498/aps.55.3054
[18]	Wang He, Li Geng-Ying.Combination of inversion and fitting as an effective method for the analysis of NMR relaxation data. Acta Physica Sinica, 2005, 54(3): 1431-1436.doi:10.7498/aps.54.1431
[19]	Xu Feng, Huang Yong-Ren.. Acta Physica Sinica, 2002, 51(6): 1371-1376.doi:10.7498/aps.51.1371
[20]	.. Acta Physica Sinica, 2002, 51(2): 415-419.doi:10.7498/aps.51.415

Catalog

Vol. 70, Issue 14 - 2021-07-20

Metrics

Abstract views:6409
PDF Downloads:335
Cited By:0

Search

Article