作者: G. Brassard , P. Hoyer
DOI: 10.1109/ISTCS.1997.595153
关键词: Function problem 、 Quantum algorithm 、 Simon's problem 、 Pseudo-polynomial time 、 P versus NP problem 、 PP 、 Mathematics 、 Quantum computer 、 Polynomial 、 Algorithm
摘要: We investigate the power of quantum computers when they are required to return an answer that is guaranteed be correct after a time upper-bounded by polynomial in worst case. show natural generalization Simon's problem can solved this way, whereas previous algorithms expected sense only, without upper bounds on worst-case running time. This achieved generalizing both and Grover's combining them novel way. It follows there decision exact time, which would require exponential any classical bounded-error probabilistic computer if data supplied as black box.