학술논문

Lower bounds for randomized and quantum query complexity using Kolmogorov arguments
Document Type
Conference
Source
Proceedings. 19th IEEE Annual Conference on Computational Complexity, 2004. Computational complexity Computational Complexity, 2004. Proceedings. 19th IEEE Annual Conference on. :294-304 2004
Subject
Computing and Processing
Quantum computing
Sorting
Concrete
Minimax techniques
Computational modeling
Boolean functions
Polynomials
Cryptography
Chromium
Eigenvalues and eigenfunctions
Language
ISSN
1093-0159
Abstract
We prove a very general lower bound technique for quantum and randomized query complexity, that is easy to prove as well as to apply. To achieve this, we introduce the use of Kolmogorov complexity to query complexity. Our technique generalizes the weighted, unweighted methods of Ambainis, and the spectral method of Barnum, Saks and Szegedy. As an immediate consequence of our main theorem, it can be shown that adversary methods can only prove lower bounds for Boolean functions f in 0(min((/spl radic/nC/sup 0/(f)), (/spl radic/nC/sup 0/(f)))) where C/sup 0/, C/sup 1/ is the certificate complexity, and n is the size of the input. We also derive a general form of the ad hoc weighted method used by Hoyer, Neerbek and Shi to give a quantum lower bound on ordered search and sorting.