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Amplitude amplification is a technique in quantum computing which generalizes the idea behind Grover's search algorithm, and gives rise to a family of quantum algorithms. It was discovered by Gilles Brassard and Peter Høyer in 1997,[1] and independently rediscovered by Lov Grover in 1998.[2]
In a quantum computer, amplitude amplification can be used to obtain a quadratic speedup over several classical algorithms.
Algorithm
The derivation presented here roughly follows the one given by Brassard et al. in 2000.[3] Assume we have an -dimensional Hilbert space representing the state space of a quantum system, spanned by the orthonormal computational basis states . Furthermore assume we have a Hermitian projection operator . Alternatively, may be given in terms of a Boolean oracle function and an orthonormal operational basis , in which case
- .
can be used to partition into a direct sum of two mutually orthogonal subspaces, the good subspace and the bad subspace :
Given a normalized state vector with nonzero overlap with both subspaces, we can uniquely decompose it as
- ,
where , and and are the normalized projections of into the subspaces and , respectively. This decomposition defines a two-dimensional subspace , spanned by the vectors and . The probability of finding the system in a good state when measured is .
Define a unitary operator , where
flips the phase of the states in the good subspace, whereas flips the phase of the initial state .
The action of this operator on
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