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Quantum Pattern Search with Closed Match

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Abstract

This paper we proposed a quantum pattern search algorithm based on Grover’s algorithm with closed match. Compared to QuAM proposed by Dan Ventura and QuAM with distributed queries proposed by Ezhov, our algorithm could not only resolve completion problem but also retrieved the full information of the query pattern which only known partial information with non-negligible probability. The algorithm took advantage of the encoding for the pattern set. Moreover we transformed the encoding of each pattern in set to encode all the pattern match cases in order to reduce the cost of encoding. Thus, the nontrivial initial state brought a new method to realize quantum pattern search with a series of proper unitary operations. The simulation result of experiments was also proved that our algorithm was useful and efficient.

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Notes

  1. According to pattern p, s=2, so all the possible matching strings are ms+1=3: (9,0),(0,a)and(a,b).

References

  1. Deutsch, D., Jozsa, R.: Rapid solution of problems by quantum computation. Proc. R. Soc. Lond. Ser. A, Math. Phys. Sci. 439(1907), 553–558 (1992)

    Article  MathSciNet  ADS  MATH  Google Scholar 

  2. Shor, P.W.: Algorithms for quantum computation: discrete logarithms and factoring. In: Proceedings of the 35th Annual Symposium on Foundations of Computer Science, pp. 124–134. IEEE, New York (1994).

    Chapter  Google Scholar 

  3. Grover, L.K.: A fast quantum mechanical algorithm for database search. In: Proceedings of the Twenty-Eighth Annual ACM Symposium on Theory of Computing, pp. 212–219. ACM, New York (1996)

    Chapter  Google Scholar 

  4. Boyer, M., Brassard, G., Høyer, P., et al.: Tight bounds on quantum searching (1996). arXiv:quant-ph/9605034

  5. Ventura, D.: Artificial associative memory using quantum processes. In: Proceedings of the International Conference on Computational Intelligence and Neuroscience, vol. 2, pp. 218–221 (1998)

    Google Scholar 

  6. Ventura, D., Martinez, T.: Quantum associative memory. Inf. Sci. 124(1), 273–296 (2000)

    Article  MathSciNet  Google Scholar 

  7. Ventura, D., Martinez, T.: Initializing the amplitude distribution of a quantum state. Found. Phys. Lett. 12(6), 547–559 (1999)

    Article  MathSciNet  Google Scholar 

  8. Ventura, D., Martinez, T.: A quantum associative memory based on Grover’s algorithm. In: Artificial Neural Nets and Genetic Algorithms, pp. 22–27. Springer, Vienna (1999)

    Chapter  Google Scholar 

  9. Ezhov, A.A., Nifanova, A.V., Ventura, D.: Quantum associative memory with distributed queries. Inf. Sci. 128(3), 271–293 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  10. Mateus, P., Omar, Y.: Quantum pattern matching (2005). arXiv:quant-ph/0508237

  11. Angelakis, D.G.: A quantum algorithm for closest pattern matching. Quantum Inf. Process. 199, 180 (2006)

    Google Scholar 

  12. Zhou, R., Ding, Q.: Quantum pattern recognition with probability of 100 %. Int. J. Theor. Phys. 47(5), 1278–1285 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  13. Rigui, Z., Nan, J., Qiulin, D.: Model and training of QNN with weight. Neural Process. Lett. 24(3), 261–269 (2006)

    Article  Google Scholar 

  14. Zhou, R., Ding, Q.: Quantum MP neural network. Int. J. Theor. Phys. 46(12), 3209–3215 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  15. Zhou, R.: Quantum competitive neural network. Int. J. Theor. Phys. 49(1), 110–119 (2010)

    Article  MATH  Google Scholar 

  16. Zhou, R., Wang, H., Wu, Q., et al.: Quantum associative neural network with nonlinear search algorithm. Int. J. Theor. Phys. 51(3), 705–723 (2012)

    Article  MATH  Google Scholar 

  17. Njafa, J.P.T., Engo, S.G.N., Woafo, P.: Quantum associative memory with improved distributed queries. Int. J. Theor. Phys. 1–15 (2012)

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Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant No. 61065002, the Foundation of Talent of Jinggang of Jiangxi Province under Grant No. 20112BCB23014, Project of International Cooperation and Exchanges of Jiangxi Province under Grant No. 20112BDH80007, Project of International Cooperation and Exchanges of Nanchang City, the item of science and technology awarded by Education Bureau of Jiangxi Province under Grant No. GJJ12433.

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Correspondence to Chen-Yi Shen.

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Zhou, RG., Shen, CY., Xiao, Tr. et al. Quantum Pattern Search with Closed Match. Int J Theor Phys 52, 3970–3980 (2013). https://doi.org/10.1007/s10773-013-1710-4

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