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On the Complexity of Searching for a Maximum of a Function on a Quantum Computer

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Abstract

We deal with the problem of finding a maximum of a function from the Hölder class on a quantum computer. We show matching lower and upper bounds on the complexity of this problem. We prove upper bounds by constructing an algorithm that uses a pre-existing quantum algorithm for finding maximum of a discrete sequence. To prove lower bounds we use results for finding the logical OR of sequence of bits. We show that quantum computation yields a quadratic speed-up over deterministic and randomized algorithms.

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References

  1. R. Beals, H. Buhrman, R. Cleve, M. Mosca, and R. de Wolf, Quantum lower bounds by polynomials. in Proc. of the 39th Ann. IEEE Symposium on Foundations of Computer Science, 1998, see also http://arXiv.org/abs/quant-ph/9802049, pp. 352–361.

  2. Bennett C.H., Bernstein E., Brassard G., and Vazirani U. (1997). “Strengths and weaknesses of quantum computing”. SIAM J. Comput. 26: 1510–1523, see also http:// arXiv.org/abs/quant-ph/9701001

    Article  MATH  MathSciNet  Google Scholar 

  3. Boyer M., Brassard G., Høyer P., Tapp A. (1998). “Tight bounds on quantum searching”. Forschritte Der Physik 46:493–505, see also http://arXiv.org/abs/quant-ph/9605034

    Article  ADS  Google Scholar 

  4. Brassard G., Høyer P., Mosca M., Tapp A. “Quantum amplitude amplification and estimation,” Quant. Comput. and Inf., AMS, Contemporary Math. Ser., 305, 53–74, (2002), see also http://arXiv.org/abs/quant-ph/0005055

  5. Brassard G., Høyer P., Tapp A. (1998). “Quantum counting”. Lect. Notes on Comp. Sci. 1443:820–831, see also http://arXiv.org/abs/quant-ph/9805082

    Article  Google Scholar 

  6. C. Dürr, and P. Høyer, A quantum algorithm for finding the minimum, in Proc. of the 30th Ann. ACM Symposium on Theory of Computing, 1998, see also http:// arXiv.org/abs/quant-ph/9607014, pp. 1516–1524.

  7. L.K. Grover, A fast quantum mechanical algorithm for database search, in Proc. of the 28th ACM Symposium on Theory of Computing, 1996, pp. 212–219

  8. L.K. Grover, A framework for fast quantum mechanical algorithms, in Proc. of the 30th Annual ACM Symposium on Theory of Computing, 1998, see also http:// arXiv.org/abs/quant-ph/9711043, pp. 53–62

  9. Heinrich S. (2002). “Quantum summation with an application to integration”. J. of Complexity 18:1–50, see also http://arXiv.org/abs/quant-ph/0105116

    Article  MATH  MathSciNet  Google Scholar 

  10. Heinrich S. (2003). “Quantum integration in Sobolev classes”. J. of Complexity 19:19–42, see also http://arXiv.org/abs/quant- ph/0112153

    Article  MATH  MathSciNet  Google Scholar 

  11. Heinrich S. (2004). “Quantum approximation I embeddings of finite dimensional L p spaces”. J. of Complexity 20:2–26, see also http://arXiv.org/abs/quant-ph/0305030

    Google Scholar 

  12. Heinrich S. (2004). “Quantum approximation II. Sobolev embeddings”. J. of Complexity 20:27–45, see also http://arXiv.org/abs/quant-ph/0305031

    Article  MATH  MathSciNet  Google Scholar 

  13. Kacewicz B. (2004). “Randomized and quantum algorithms yield a speed-up for initial-value problems”. J. of Complexity 20:821–834, see also http:// arXiv.org/abs/quant-ph/0311148

    Article  MATH  MathSciNet  Google Scholar 

  14. Kacewicz B. (2005). “Improved bounds on the randomized and quantum complexity of initial-value problems”. J. of Complexity 21:740–756, see also http:// arXiv.org/abs/quant-ph/0405018

    Article  MATH  MathSciNet  Google Scholar 

  15. A. Nayak, and F. Wu, The quantum query complexity of approximating the median and related statistics, in Proc. of 31th STOC, 1999, see also http://arXiv.org/abs/quant-ph/9804066, pp. 384–393.

  16. E. Novak, Deterministic and Stochastic Error Bounds in Numerical Analysis, Lecture Notes in Mathematics, 1349, (Springer, Berlin 1988).

  17. Novak E. (2001). “Quantum complexity of integration”. J. of Complexity 17:2–16, see also http://arXiv.org/abs/quant-ph/0008124

    Article  MATH  MathSciNet  Google Scholar 

  18. Papageorgiou A., Woźniakowski H. (2005). “Classical and quantum complexity of the Sturm–Liouville eigenvalue Problem”. Quant. Inf. Proce. 4:87–127, see also http://arXiv.org/abs/quant-ph/0502054

    Article  Google Scholar 

  19. A. Papageorgiou, and H. Woźniakowski. The Sturm-Liouville eigenvalue problem and NP-complete problems in the quantum setting with queries, 2005, http:// arXiv.org/abs/quant-ph/0504194

  20. Shor P.W. (1997). “Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer”. SIAM J. Comput. 26:1484–1509, see also http:// arXiv.org/abs/quant-ph/9508027

    Article  MATH  MathSciNet  Google Scholar 

  21. T. Szkopek, V. Roychowdhury, E. Yablonovitch, and D. S. Abrams. Eigenvalue estimation of differential operators with a quantum algorithm, (2004), http://arXiv.org/abs/quant-ph/0408137

  22. Traub J.F., Woźniakowski H. (2002). Path integration on quantum computer. Quant. Inf. Proc. 1:365–388, see also http://arXiv.org/abs/quant-ph/0109113

    Article  Google Scholar 

  23. C. Zalka, Could Grover’s quantum algorithm help in searching an actual database? (1999), http://arXiv.org/abs/quant-ph/9901068

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This research was partly supported by AGH grant no. 10.420.03

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Correspondence to Maciej Goćwin.

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Goćwin, M. On the Complexity of Searching for a Maximum of a Function on a Quantum Computer. Quantum Inf Process 5, 31–41 (2006). https://doi.org/10.1007/s11128-006-0011-8

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