- 必威体育下载

姓名
邮箱
手机号码
标题
留言内容
验证码

摘要

量子计算在近十年取得了长足的进展. 随着量子调控技术达到前所未有的高度, 包括超导量子比特、光量子器件、原子系综等在内的量子实验平台都进入到了崭新的时代. 目前在特定计算任务上超越经典的量子计算优势也已经被报道. 其中一种可以有效运用可控量子器件的计算方案是采用绝热量子计算. 绝热量子计算中算法的选择与研究至关重要, 其将直接决定量子计算优势是否能够最大限度地被挖掘. 本综述主要介绍近期机器学习在绝热量子算法设计方面的应用, 并讲述该计算架构在3-SAT和Grover搜索等问题上的应用. 通过与未经机器学习优化设计的绝热量子算法对比, 研究表明机器学习方法的应用可以极大提高绝热量子算法的计算效率.

关键词:

Abstract

Quantum computing has made dramatic progress in the last decade. The quantum platforms including superconducting qubits, photonic devices, and atomic ensembles, have all reached a new era, with unprecedented quantum control capability developed. Quantum computation advantage over classical computers has been reported on certain computation tasks. A promising computing protocol of using the computation power in these controllable quantum devices is implemented through quantum adiabatic computing, where quantum algorithm design plays an essential role in fully using the quantum advantage. Here in this paper, we review recent developments in using machine learning approach to design the quantum adiabatic algorithm. Its applications to 3-SAT problems, and also the Grover search problems are discussed.

Keywords:

作者及机构信息

通信作者:李晓鹏,xiaopeng_li@fudan.edu.cn

基金项目:国家自然科学基金(批准号: 11934002)、国家重点基础研究发展计划(973计划)(批准号: 2017YFA0304204)和上海量子信息技术市级科技重大专项(批准号: 2019SHZDZX01)资助的课题

Authors and contacts

Corresponding author:Li Xiao-Peng,xiaopeng_li@fudan.edu.cn

Funds:Project supported by the National Natural Science Foundation of China (Grant No. 11934002), the National Basic Research Program of China (Grant No. 2017YFA0304204), and the Shanghai Municipal Science and Technology Major Project, China (Grant No. 2019SHZDZX01)

文章全文: translate this paragraph

参考文献

[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]
[67]
[68]
[69]
[70]
[71]
[72]
[73]
[74]
[75]
[76]
[77]
[78]
[79]
[80]
[81]
[82]
[83]
[84]
[85]
[86]
[87]
[88]
[89]
[90]
[91]
[92]
[93]
[94]
[95]
[96]
[97]
[98]
[99]
[100]
[101]
[102]
[103]
[104]
[105]
[106]
[107]
[108]
[109]
[110]
[111]
[112]
[113]
[114]
[115]
[116]
[117]
[118]
[119]
[120]
[121]
[122]
[123]
[124]
[125]
[126]
[127]
[128]
[129]
[130]
[131]
[132]
[133]
[134]
[135]
[136]
[137]
[138]
[139]
[140]
[141]
[142]
[143]
[144]
[145]
[146]
[147]
[148]
[149]
[150]
[151]
[152]
[153]
[154]
[155]
[156]
[157]
[158]
[159]
[160]
[161]
[162]
[163]
[164]
[165]
[166]
[167]
[168]
[169]
[170]
[171]
[172]
[173]
[174]
[175]
[176]
[177]
[178]
[179]
[180]
[181]
[182]
[183]
[184]
[185]
[186]
[187]

施引文献

下载: 全尺寸图片幻灯片

下载: 全尺寸图片幻灯片

下载: 全尺寸图片幻灯片

[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]
[67]
[68]
[69]
[70]
[71]
[72]
[73]
[74]
[75]
[76]
[77]
[78]
[79]
[80]
[81]
[82]
[83]
[84]
[85]
[86]
[87]
[88]
[89]
[90]
[91]
[92]
[93]
[94]
[95]
[96]
[97]
[98]
[99]
[100]
[101]
[102]
[103]
[104]
[105]
[106]
[107]
[108]
[109]
[110]
[111]
[112]
[113]
[114]
[115]
[116]
[117]
[118]
[119]
[120]
[121]
[122]
[123]
[124]
[125]
[126]
[127]
[128]
[129]
[130]
[131]
[132]
[133]
[134]
[135]
[136]
[137]
[138]
[139]
[140]
[141]
[142]
[143]
[144]
[145]
[146]
[147]
[148]
[149]
[150]
[151]
[152]
[153]
[154]
[155]
[156]
[157]
[158]
[159]
[160]
[161]
[162]
[163]
[164]
[165]
[166]
[167]
[168]
[169]
[170]
[171]
[172]
[173]
[174]
[175]
[176]
[177]
[178]
[179]
[180]
[181]
[182]
[183]
[184]
[185]
[186]
[187]

[1]	张嘉晖.蛋白质计算中的机器学习. 必威体育下载 , 2024, 73(6): 069301.doi:10.7498/aps.73.20231618
[2]	黄天龙, 吴永政, 倪明, 汪士, 叶永金.量子噪声对Shor算法的影响. 必威体育下载 , 2024, 73(5): 050301.doi:10.7498/aps.73.20231414
[3]	杨章章, 刘丽, 万致涛, 付佳, 樊群超, 谢锋, 张燚, 马杰.结合机器学习算法提高从头算方法对HF/HBr/H³⁵Cl/Na³⁵Cl振动能谱的预测性能. 必威体育下载 , 2023, 72(7): 073101.doi:10.7498/aps.72.20221953
[4]	管星悦, 黄恒焱, 彭华祺, 刘彦航, 李文飞, 王炜.生物分子模拟中的机器学习方法. 必威体育下载 , 2023, 72(24): 248708.doi:10.7498/aps.72.20231624
[5]	罗启睿, 沈一凡, 罗孟波.高分子塌缩相变和临界吸附相变的计算机模拟和机器学习. 必威体育下载 , 2023, 72(24): 240502.doi:10.7498/aps.72.20231058
[6]	李天胤, 邢宏喜, 张旦波.基于量子计算的高能核物理研究. 必威体育下载 , 2023, 72(20): 200303.doi:10.7498/aps.72.20230907
[7]	艾飞, 刘志兵, 张远涛.结合机器学习的大气压介质阻挡放电数值模拟研究. 必威体育下载 , 2022, 71(24): 245201.doi:10.7498/aps.71.20221555
[8]	徐达, 王逸璞, 李铁夫, 游建强.微波驱动下超导量子比特与磁振子的相干耦合. 必威体育下载 , 2022, 71(15): 150302.doi:10.7498/aps.71.20220260
[9]	高雪儿, 李代莉, 刘志航, 郑超.非厄米系统的量子模拟新进展. 必威体育下载 , 2022, 71(24): 240303.doi:10.7498/aps.71.20221825
[10]	周文豪, 王耀, 翁文康, 金贤敏.集成光量子计算的研究进展. 必威体育下载 , 2022, 71(24): 240302.doi:10.7498/aps.71.20221782
[11]	王晨旭, 贺冉, 李睿睿, 陈炎, 房鼎, 崔金明, 黄运锋, 李传锋, 郭光灿.量子计算与量子模拟中离子阱结构研究进展. 必威体育下载 , 2022, 71(13): 133701.doi:10.7498/aps.71.20220224
[12]	罗雨晨, 李晓鹏.相互作用费米子的量子模拟. 必威体育下载 , 2022, 71(22): 226701.doi:10.7498/aps.71.20221756
[13]	陈阳, 张天炀, 郭光灿, 任希锋.基于集成光芯片的量子模拟研究进展. 必威体育下载 , 2022, 71(24): 244207.doi:10.7498/aps.71.20221938
[14]	刘武, 朱成皖, 李昊天, 赵谡玲, 乔泊, 徐征, 宋丹丹.基于机器学习和器件模拟对Cu(In,Ga)Se₂电池中Ga含量梯度的优化分析. 必威体育下载 , 2021, 70(23): 238802.doi:10.7498/aps.70.20211234
[15]	田宇玲, 冯田峰, 周晓祺.基于冗余图态的多人协作量子计算. 必威体育下载 , 2019, 68(11): 110302.doi:10.7498/aps.68.20190142
[16]	杨乐, 李凯, 戴宏毅, 张明.基于量子算法的量子态层析新方案. 必威体育下载 , 2019, 68(14): 140301.doi:10.7498/aps.68.20190157
[17]	孔祥宇, 朱垣晔, 闻经纬, 辛涛, 李可仁, 龙桂鲁.核磁共振量子信息处理研究的新进展. 必威体育下载 , 2018, 67(22): 220301.doi:10.7498/aps.67.20180754
[18]	赵士平, 刘玉玺, 郑东宁.新型超导量子比特及量子物理问题的研究. 必威体育下载 , 2018, 67(22): 228501.doi:10.7498/aps.67.20180845
[19]	喻祥敏, 谭新生, 于海峰, 于扬.利用超导量子电路模拟拓扑量子材料. 必威体育下载 , 2018, 67(22): 220302.doi:10.7498/aps.67.20181857
[20]	范桁.量子计算与量子模拟. 必威体育下载 , 2018, 67(12): 120301.doi:10.7498/aps.67.20180710

计量

文章访问数:6322
PDF下载量:311
被引次数:0

搜索

留言板