Analysis on effects of coin operators in search algorithms based on quantum walk

被引:0
|
作者
Xue X. [1 ]
Liu Z. [2 ]
Ruan Y. [1 ]
Zhang Y. [3 ]
机构
[1] School of Computer Science and Technology, Anhui University of Technology, Ma'anshan
[2] School of Computer Science and Engineering, Southeast University, Nanjing
[3] School of Microelectronics and Data Science, Anhui University of Technology, Ma'anshan
关键词
coin operator; multiple targets; quantum walk; spatial search; state transfer;
D O I
10.3969/j.issn.1001-0505.2023.05.022
中图分类号
学科分类号
摘要
To study the performance of search algorithms based on different marking coins,the negative identity operator I,Grover diffusion operator D and quantum Fourier transform operator F are used as marking coin operators to construct search algorithms based on operators - I,- D and - F (SAI,SAD and SAF). Numerical simulations are used to explore the performance of these algorithms when searching for multiple target vertices on symmetric and random graphs. The effects of SAI and SAD in one-step quantum walk are analyzed,and state transition on the root of a Cayley tree is investigated using the nonrepeating quantum walk. The results show that the success probability curves of SAI are close to the square of sinusoidal curve,and the success probabilities are greater than 0. 5 on dense graphs. SAD is equivalent to SAI when searching for nonadjacent multiple targets,while the success probability curves have double peaks when searching for hybrid vertices on Johnson graph and some random graphs. The performance of SAF when searching for adjacent targets depends on the order of each vector in the basis states of coin space of the target vertices. Finally,periodic state transfer is realized using nonrepeating coin on the root of 4-Cayley tree with generation g using 2g steps. © 2023 Southeast University. All rights reserved.
引用
收藏
页码:947 / 954
页数:7
相关论文
共 21 条
  • [1] Childs A M., Universal computation by quantum walk [J], Physical Review Letters, 102, 18, (2009)
  • [2] Lovett N B, Cooper S, Everitt M, Et al., Universal quantum computation using the discrete-time quantum walk [J], Physical Review A, 81, 4, (2010)
  • [3] Grover L K., Quantum mechanics helps in searching for a needle in a haystack[J], Physical Review Letters, 79, 2, pp. 325-328, (1997)
  • [4] Shenvi N, Kempe J, Whaley K B., Quantum random-walk search algorithm[J], Physical Review A, 67, 5, (2003)
  • [5] Ambainis A, Kempe J, Rivosh A., Coins make quantum walks faster[C], Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, (2005)
  • [6] Xue X L, Ruan Y, Liu Z H., Discrete-time quantum walk search on Johnson graphs [J], Quantum Information Processing, 18, 2, (2019)
  • [7] Ambainis A, Rivosh A., Quantum walks with multiple or moving marked locations, Proceedings of the 34th Conference on Current Trends in Theory and Practice of Computer Science, (2008)
  • [8] Wong T G, Santos R A M., Exceptional quantum walk search on the cycle[J], Quantum Information Processing, 16, 6, (2017)
  • [9] Li M, Shang Y., Generalized exceptional quantum walk search[J], New Journal of Physics, 22, 12, (2020)
  • [10] Prusis K, Vihrovs J, Wong T G., Stationary states in quantum walk search[J], Physical Review A, 94, 3, (2016)