In computational complexity theory BQP stands for Bounded error, Quantum, Polynomial time. It denotes the class of decision problems solvable by a quantum computer in polynomial time, with an error probability of at most 1/3 for all instances.
In other words, there is an algorithm for a quantum computer that solves the decision problem with high probability and is guaranteed to run in polynomial time. On any given run of the algorithm, it has a p...
more
Read article at Wikipedia
BQP
Similar topics in Freebase
-
PSPACE
In computational complexity theory, PSPACE is the set of all decision problems which can be solved by a Turing machine using a polynomial amount of space. If we denote by SPACE(t(n)), the set of all problems that can be solved by Turing machines using at most t(n) space for some function t of the... -
NP-complete
In computational complexity theory, the complexity class NP-complete (abbreviated NP-C or NPC), is a class of problems having two properties: Although any given solution to such a problem can be verified quickly, there is no known efficient way to locate a solution in the first place; indeed, the...