Strengths and Weaknesses of Quantum Computing

Charles H. Bennett; Ethan Bernstein; Gilles Brassard; Umesh Vazirani

doi:10.1137/S0097539796300933

paper

Strengths and Weaknesses of Quantum Computing

arXiv:quant-ph/9701001 · doi:10.1137/S0097539796300933

Abstract

Recently a great deal of attention has focused on quantum computation following a sequence of results suggesting that quantum computers are more powerful than classical probabilistic computers. Following Shor's result that factoring and the extraction of discrete logarithms are both solvable in quantum polynomial time, it is natural to ask whether all of NP can be efficiently solved in quantum polynomial time. In this paper, we address this question by proving that relative to an oracle chosen uniformly at random, with probability 1, the class NP cannot be solved on a quantum Turing machine in time $o (2^{n /2})$ . We also show that relative to a permutation oracle chosen uniformly at random, with probability 1, the class $N P \cap co N P$ cannot be solved on a quantum Turing machine in time $o (2^{n /3})$ . The former bound is tight since recent work of Grover shows how to accept the class NP relative to any oracle on a quantum computer in time $O (2^{n /2})$ .

18 pages, latex, no figures, to appear in SIAM Journal on Computing (special issue on quantum computing)

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