Revisiting a limit on efficient quantum computation
Author(s) -
Tarsem S. Purewal
Publication year - 2006
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISBN - 1-59593-315-8
DOI - 10.1145/1185448.1185502
Subject(s) - quantum complexity theory , ph , complexity class , probabilistic logic , quantum algorithm , quantum computer , class (philosophy) , discrete mathematics , structural complexity theory , computational complexity theory , quantum , exposition (narrative) , mathematics , limit (mathematics) , bounded function , counting problem , polynomial , time complexity , computer science , algorithm , quantum mechanics , physics , artificial intelligence , art , mathematical analysis , statistics , literature
In this paper, we offer an exposition of a theorem originally due to Adleman, Demarrais and Huang that shows that the quantum complexity class BQP (Bounded-error Quantum Polynomial time) is contained in the classical counting class PP (Probabilistic Polynomial time). Our proof follows the one given by Fortnow and Rogers that relates quantum computing to counting complexity classes by way of GapP functions. The contribution of this paper is an exposition of an important result that assumes a minimal background in computational complexity theory and no knowledge of quantum mechanics.
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