DocumentCode :
1593656
Title :
The Polynomial Method in Quantum and Classical Computing
Author :
Aaronson, Scott
fYear :
2008
Firstpage :
3
Lastpage :
3
Abstract :
In 1889, A. A. Markov proved a powerful result about low-degree real polynomials: roughly speaking, that such polynomials cannot have a sharp jump followed by a long, relatively flat part. A century later, this result - as well as other results from the field of approximation theory - came to play a surprising role in classical and quantum complexity theory. In this article, the author tries to tell this story in an elementary way, beginning with classic results in approximation theory and ending with some recent applications.
Keywords :
computational complexity; polynomial approximation; quantum computing; approximation theory; classical complexity theory; classical computing; polynomial method; quantum complexity theory; quantum computing; Approximation methods; Boolean functions; Complexity theory; Computational complexity; Computer science; Numerical analysis; Polynomials; Quantum computing; Quantum mechanics; polynomial method; quantum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 2008. FOCS '08. IEEE 49th Annual IEEE Symposium on
Conference_Location :
Philadelphia, PA
ISSN :
0272-5428
Print_ISBN :
978-0-7695-3436-7
Type :
conf
DOI :
10.1109/FOCS.2008.91
Filename :
4690933
Link To Document :
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