Abstract:
For a randomized stochastic optimization algorithm, consistency conditions of estimates are slackened and the order of accuracy for a finite number of observations is studied. A new method of realization of this algorithm on quantum computers is developed.
PACS:02.50.Fz, 02.60.Pn, 03.67.Lx
Presented by the member of Editorial Board:B. T. Polyak