Quantum Integration Error for Some Sobolev Classes

  • Ye Peixin
  • Hu Xiaofei
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)


Based on the quantum algorithms for approximating the mean of p-summable sequences, we develop quantum algorithms for approximating the integration from anisotropic and generalized Sobolev classes. Then we analyze query error of these algorithms and prove their optimality. It is proved that for these classes of functions the optimal convergence rates of quantum algorithms are essential smaller than those of classical deterministic and randomized algorithms. Our results extend recent works of Heinrich on classical Sobolev classes.


Quantum Computation Quantum Algorithm Sobolev Class Quantum Search Algorithm Multivariate Integration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ye Peixin
    • 1
  • Hu Xiaofei
    • 2
  1. 1.School of Mathematical Sciences and LPMCNankai UniversityTianjinChina
  2. 2.College of MathematicalSyracuse UniversityUSA

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