Abstract
The oracle identification problem (OIP) was introduced by Ambainis et al. [A. Ambainis, K. Iwama, A. Kawachi, H. Masuda, R.H. Putra, S. Yamashita, Quantum identification of boolean oracles, in: Proc. of STACS’04, in: LNCS, vol. 2996, 2004, pp. 105–116]. 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 [A. Ambainis, K. Iwama, A. Kawachi, H. Masuda, R.H. Putra, S. Yamashita, Quantum identification of boolean oracles, in: Proc. of STACS’04, in: LNCS, vol. 2996, 2004, pp. 105–116] by providing a mostly optimal upper bound of query complexity for this problem: (i) For any oracle set S such that | S | ≤ 2 N d ( d < 1 ) , we design an algorithm whose query complexity is O ( N log M / log N ) , matching the lower bound proved in [A. Ambainis, K. Iwama, A. Kawachi, H. Masuda, R.H. Putra, S. Yamashita, Quantum identification of boolean oracles, in: Proc. of STACS’04, in: LNCS, vol. 2996, 2004, pp. 105–116]. (ii) Our algorithm also works for the range between 2 N d and 2 N / log N (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 noisy oracles as also shown in the literature [M. Adcock, R. Cleve, A quantum Goldreich–Levin theorem with cryptographic applications, in: Proc. of STACS’02, in: LNCS, vol. 2285, 2002, pp. 323–334; H. Buhrman, I. Newman, H. Röhrig, R. deWolf, Robust quantum algorithms and polynomials, in: Proc. of STACS’05, in: LNCS, vol. 3404, 2005, pp. 593–604; P. Høyer, M. Mosca, R. de Wolf, Quantum search on bounded-error inputs, in: Proc. of ICALP’03, in: LNCS, vol. 2719, 2003, pp. 291–299] for special cases of OIP.
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