Abstract
Reducing the error of quantum algorithms is often achieved by applying a primitive called amplitude amplification. Its use leads in many instances to quantum algorithms that are quadratically faster than any classical algorithm. Amplitude amplification is controlled by choosing two complex numbers φ s and φ t of unit norm, called phase factors. If the phases are well-chosen, amplitude amplification reduces the error of quantum algorithms, if not, it may increase the error. We give an analysis of amplitude amplification with a emphasis on the influence of the phase factors on the error of quantum algorithms. We introduce a so-called phase matrix and use it to give a straightforward and novel analysis of amplitude amplification processes. We show that we may always pick identical phase factors φ s = φ t with argument in the range \({{\pi}\over{3}}{\leq} {\rm arg}(\phi_{s}){\leq} {\pi}\). We also show that identical phase factors φ s = φ t with \(-{{\pi}\over{2}}< {\rm arg}(\phi_{s})< {{\pi}\over{2}}\) never leads to an increase in the error, generalizing a recent result of Lov Grover who shows that amplitude amplification becomes a quantum analogue of classical repetition if we pick phase factors φ s = φ t with \({\rm arg}(\phi_{s}) = {{\pi}\over{3}}\).
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© 2005 Springer-Verlag Berlin Heidelberg
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Høyer, P. (2005). The Phase Matrix. In: Deng, X., Du, DZ. (eds) Algorithms and Computation. ISAAC 2005. Lecture Notes in Computer Science, vol 3827. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11602613_32
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DOI: https://doi.org/10.1007/11602613_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30935-2
Online ISBN: 978-3-540-32426-3
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