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Quantum search of many vertices on the joined complete graph |
Tingting Ji(冀婷婷), Naiqiao Pan(潘乃桥), Tian Chen(陈天)†, and Xiangdong Zhang(张向东) |
Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics&Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing 100081, China |
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Abstract The quantum search on the graph is a very important topic. In this work, we develop a theoretic method on searching of single vertex on the graph [$Phys. Rev. Lett$. 114 110503 (2015)], and systematically study the search of many vertices on one low-connectivity graph, the joined complete graph. Our results reveal that, with the optimal jumping rate obtained from the theoretical method, we can find such target vertices at the time $O\left({\sqrt N } \right)$, where $N$ is the number of total vertices. Therefore, the search of many vertices on the joined complete graph possessing quantum advantage has been achieved.
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Received: 24 October 2021
Revised: 29 December 2021
Accepted manuscript online: 07 February 2022
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PACS:
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05.40.Fb
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(Random walks and Levy flights)
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03.67.-a
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(Quantum information)
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02.10.Ox
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(Combinatorics; graph theory)
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Fund: Project supported by the National Key R&D Program of China (Grant No. 2017YFA0303800) and the National Natural Science Foundation of China (Grant Nos. 91850205 and 11974046). |
Corresponding Authors:
Tian Chen
E-mail: chentian@bit.edu.cn
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Cite this article:
Tingting Ji(冀婷婷), Naiqiao Pan(潘乃桥), Tian Chen(陈天), and Xiangdong Zhang(张向东) Quantum search of many vertices on the joined complete graph 2022 Chin. Phys. B 31 070504
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[1] Grover L K 1998 Phys. Rev. Lett. 80 4329 [2] Long G L 2001 Phys. Rev. A 64 022307 [3] Long G L and Xiao L 2003 J. Chem. Phys. 119 8473 [4] Aharonov D, Ambainis A, Kempe J and Vazirani U 2001 STOC'01:Proceedings of the 33th Annual ACM Symposium on Theory of Computing, July 6, 2001, Hersonissos, Greece, pp. 50-59 [5] Nielsen M A and Chuang I L 2000 Quantum Computation and Quantum Information (Cambridge:Cambridge University Press) pp. 248-271 [6] Jones J A, Mosca M and Hansen R H 1998 Nature 393 344 [7] Kwiat P G, Mitchell J R, Schwindt P D D and White A G 2000 J. Mod. Opt. 47 257 [8] Scully M O and Zubairy M S 2001 Proc. Natl. Acad. Sci. USA 98 9490 [9] Dodd J L, Ralph T C and Milburn G J 2003 Phys. Rev. A 68 042328 [10] Home J P, Hanneke D, Jost J D, Amini J M, Leibfried D and Wineland D J 2009 Science 325 1227 [11] Childs A and Goldstone J 2004 Phys. Rev. A 70 022314 [12] Manouchehri K and Wang J B 2014 Physical Implementation of Quantum Walks (Perth:The University of Western Australia) pp. 39-59 [13] Portugal R 2013 Quantum Walks and Search Algorithms (New York:Springer New York) pp. 17-37 [14] Abal G, Donangelo R, Marquezino F L and Portugal R 2010 Math. Struct. Comput. Sci. 20 999 [15] Childs A, Farhi E and Gutmann S 2002 Quantum Inf. Process. 1 35 [16] Childs A M, Cleve R, Deotto E, Farhi E, Gutmann S and Spielman D A 2003 STOC'03:Proceedings of the 35th Annual ACM Symposiumon on Theory of Computing, June 9-11, 2003, San Diego, California, pp. 59-68 [17] Paparo G D and Martin-Delgado M A 2012 Sci. Rep. 2 444 [18] Paparo G D, Muller M, Comellas F and Martin-Delgado M A 2014 Eur. Phys. J. Plus 129 150 [19] Zhang H X, Chen T, Pan N Q and Zhang X D 2022 Adv. Quantum Technol. 5 2270043 [20] Shenvi N, Kempe J and Whaley K B 2003 Phys. Rev. A 67 052307 [21] Keating J P, Linden N, Matthews J C F and Winter A 2007 Phys. Rev. A 76 012315 [22] Zhang Y, Bao W, Wang X and Fu X 2015 Chin. Phys. B 24 080307 [23] Chen T and Zhang X D 2016 Sci. Rep. 6 25767 [24] Chen T and Zhang X D 2016 Phys. Rev. A 94 012316 [25] Niu R W and Pan G J 2016 Chin. Phys. Lett. 33 68901 [26] Figgatt C, Maslov D, Landsman K A, Linke N M, Debnath S and Monroe C 2017 Nat. Commun. 8 1918 [27] Lv L S, Zhang K, Zhang T and Ma M Y 2019 Chin. Phys. B 28 020501 [28] Li T, Zhang S, Fu X Q, Wang X, Wang Y, Lin J and Bao W S 2019 Chin. Phys. B 28 120301 [29] Zhang J, Hegde S S and Suter D 2020 Phys. Rev. Lett. 125 030501 [30] Zhang R, Liu Y and Chen T 2020 Phys. Rev. A 102 022218 [31] Qiang X G, Wang Y Z, Xue S C, Ge R Y, Chen L F, Liu Y W, Huang A Q, Fu X, Xu P, Yi T, Xu F F, Deng M T, Wang J B, Meinecke J D A, Matthews J C F, Cai X L, Yang X J and Wu J J 2021 Sci. Adv. 7 eabb8375 [32] Pan N Q, Chen T, Sun H J and Zhang X D 2021 Research 2021 9793071 [33] Zhang R and Chen T 2022 Commun. Theor. Phys. 74 045101 [34] Janmark J, Meyer D A and Wong T G 2014 Phys. Rev. Lett. 112 210502 [35] Meyer D A and Wong T G 2015 Phys. Rev. Lett. 114 110503 [36] Chakraborty S, Novo L, Ambainis A and Omar Y 2016 Phys. Rev. Lett. 116 100501 [37] Wong T G and Meyer D A 2016 Phys. Rev. A 93 062313 [38] Wong T G and Philipp P 2016 Phys. Rev. A 94 022304 [39] Tulsi A 2016 Quantum Inf. Process. 15 2675 [40] Wong T G 2016 Quantum Inf. Process. 15 1411 |
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