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- W2107923128 abstract "The degrees of polynomials representing or approximating Boolean functions are a prominent tool in various branches of complexity theory. Sherstov recently characterized the minimal degree $deg_{eps}(f)$ among all polynomials (over $mathbb{R}$) that approximate a symmetric function $f:01^nrightarrow01$ up to worst-case error $eps$: $ deg_{eps}(f)=widetilde{Theta}left(deg_{1/3}(f) + sqrt{nlog(1/eps)}right).$ In this note we show how a tighter version (without the log-factors hidden in the $widetilde{Theta}$-notation), can be derived quite easily using the close connection between polynomials and quantum algorithms." @default.
- W2107923128 created "2016-06-24" @default.
- W2107923128 creator A5066563480 @default.
- W2107923128 date "2008-11-01" @default.
- W2107923128 modified "2023-09-26" @default.
- W2107923128 title "A note on quantum algorithms and the minimal degree of epsilon-error polynomials for symmetric functions" @default.
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- W2107923128 doi "https://doi.org/10.26421/qic8.10-4" @default.
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