A lower bound on the quantum query complexity of read-once functions

被引:28
作者
Barnum, H
Saks, M
机构
[1] Los Alamos Natl Lab, Los Alamos, NM 87545 USA
[2] Rutgers State Univ, Dept Math Hill Ctr, New Brunswick, NJ 08903 USA
[3] DIMACS, Princeton, NJ USA
基金
美国国家科学基金会;
关键词
quantum query complexity; quantum computation; query complexity; decision tree complexity; readonce functions; lower bounds;
D O I
10.1016/j.jcss.2004.02.002
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We establish a lower bound of Omega(rootn) on the bounded-error quantum query complexity of read-once Boolean functions. The result is proved via an inductive argument, together with an extension of a lower bound method of Ambainis. Ambainis' method involves viewing a quantum computation as a mapping from inputs to quantum states (unit vectors in a complex inner-product space) which changes as the computation proceeds. Initially the mapping is constant (the state is independent of the input). If the computation evalutes the function f then at the end of the computation the two states associated with any f-distinguished pair of inputs (having different f values) are nearly orthogonal. Thus the inner product of their associated states must have changed from 1 to nearly 0. For any set off-distinguished pairs of inputs, the sum of the inner products of the corresponding pairs of states must decrease significantly during the computation, By deriving an upper bound on the decrease in such a sum, during a single step, for a carefully selected set of input pairs, one can obtain a lower bound on the number of steps. We extend Ambainis' bound by considering general weighted sums off-distinguished pairs. We then prove our result for read-once functions by induction on the number of variables, where the induction step involves a careful choice of weights depending on f to optimize the lower bound attained. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:244 / 258
页数:15
相关论文
共 15 条
[1]  
Ambainis A., 2000, Proceedings of the Thirty Second Annual ACM Symposium on Theory of Computing, P636, DOI 10.1145/335305.335394
[2]   Quantum query complexity and semi-definite programming [J].
Barnum, H ;
Saks, M ;
Szegedy, M .
18TH IEEE ANNUAL CONFERENCE ON COMPUTATIONAL COMPLEXITY, PROCEEDINGS, 2003, :179-193
[3]   Strengths and weaknesses of quantum computing [J].
Bennett, CH ;
Bernstein, E ;
Brassard, G ;
Vazirani, U .
SIAM JOURNAL ON COMPUTING, 1997, 26 (05) :1510-1523
[4]   Complexity measures and decision tree complexity: a survey [J].
Buhrman, H ;
de Wolf, R .
THEORETICAL COMPUTER SCIENCE, 2002, 288 (01) :21-43
[5]   The query complexity of order-finding [J].
Cleve, R .
15TH ANNUAL IEEE CONFERENCE ON COMPUTATIONAL COMPLEXITY, PROCEEDINGS, 2000, :54-59
[6]  
GROVER L, 1998, P 28 ACM S THEOR COM, P212
[7]  
GROVER LK, 1998, QUANTPH9809029
[8]  
HOYER P, 2001, P 28 INT C AUT LANG
[9]  
NISAN N, 1994, COMPUT COMPLEX, P301
[10]  
SAKS M, 1986, P 27 ANN IEEE S FDN, P29