Improved Bounds on Quantum Learning Algorithms
β Scribed by Alp Atici; Rocco A. Servedio
- Book ID
- 106507734
- Publisher
- Springer US
- Year
- 2005
- Tongue
- English
- Weight
- 269 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1570-0755
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimates is measured using a variant of the relative error proposed by Haussler and Pollard. We also show that our bound is wit
We show that for all large n, every n-uniform hypergraph with at most 0 7 n/ ln n Γ 2 n edges can be 2-colored. This makes progress on a problem of ErdΕs [Nordisk Mat. Tidskrift 11, 5-10 (1963)], improving the previous-best bound of n 1/3-o 1 Γ 2 n due to Beck [Discrete Math. 24, 127-137 (1978)]. We