A fast quantum mechanical algorithm for database search
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
SIAM Journal on Computing
Property testing of data dimensionality
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Quantum Database Search by a Single Query
QCQC '98 Selected papers from the First NASA International Conference on Quantum Computing and Quantum Communications
Generalized Grover Search Algorithm for Arbitrary Initial Amplitude Distribution
QCQC '98 Selected papers from the First NASA International Conference on Quantum Computing and Quantum Communications
A Quantum Goldreich-Levin Theorem with Cryptographic Applications
STACS '02 Proceedings of the 19th Annual Symposium on Theoretical Aspects of Computer Science
Sublinear geometric algorithms
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
Quantum Lower Bounds by Polynomials
FOCS '98 Proceedings of the 39th Annual Symposium on Foundations of Computer Science
Property testing and its connection to learning and approximation
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
Quantum Search of Spatial Regions
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
Improved Bounds on Quantum Learning Algorithms
Quantum Information Processing
Quantum search on bounded-error inputs
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
The geometry of quantum learning
Quantum Information Processing
Robust polynomials and quantum algorithms
STACS'05 Proceedings of the 22nd annual conference on Theoretical Aspects of Computer Science
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The oracle identification problem (OIP) was introduced by Ambainis et al. [3]. It is given as a set S of M oracles and a blackbox oracle f. Our task is to figure out which oracle in S is equal to the blackbox f by making queries to f. OIP includes several problems such as the Grover Search as special cases. In this paper, we improve the algorithms in [3] by providing a mostly optimal upper bound of query complexity for this problem: (i) For any oracle set S such that $|S| \le 2^{N^d}$ (d ii) Our algorithm also works for the range between $2^{N^d}$ and 2N/logN (where the bound becomes O(N)), but the gap between the upper and lower bounds worsens gradually. (iii) Our algorithm is robust, namely, it exhibits the same performance (up to a constant factor) against the noisy oracles as also shown in the literatures [2, 11, 18] for special cases of OIP