Affiliation:
1. School of Computing, Queen's University, Kingston, Ontario, Canada K7L 3N6, Canada
Abstract
Rank-varying computational complexity describes those computations in which the complexity of executing each step is not a constant, but evolves throughout the computation as a function of the order of execution of each step [2]. This paper identifies practical instances of this computational paradigm in the procedures for computing the quantum Fourier transform and its inverse. It is shown herein that under the constraints imposed by quantum decoherence, only a parallel approach can guarantee a reliable solution or, alternatively, improve scalability.
Publisher
World Scientific Pub Co Pte Lt
Subject
Hardware and Architecture,Theoretical Computer Science,Software
Cited by
7 articles.
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