Trevisan's extractor in the presence of quantum side information

Abstract Randomness extraction involves the processing of purely classical information and is therefore usually studied in the framework of classical probability theory. However, such a classical treatment is generally too restrictive for applications, where side information about the values taken by classical random variables may be represented by the state of a quantum system. This is particularly relevant in the context of cryptography, where an adversary may make use of quantum devices. Here, we show that the well known construction paradigm for extractors proposed by hevisan is sound in the presence of quantum side information. We exploit the modularity of this paradigm to give several concrete extractor constructions, which. e.g, extract all the conditional (smooth) min-entropy of the source using a seed of length poly-logarithmic in the input, or only require the seed to be weakly random

Study of Interrelation among Various Surface Layer Parameters during Pre-monsoon and Monsoon Phases over Jodhpur (26°18'N, 73°04'E), India

During the monsoon period of the year 1990, a micrometeorological tower of 30 m in height was erected at Jodhpur, India, as a part of the multi-institutional field experiment _ Various sensors were mounted in the tower to capture different meteorological phenomenon as accurately as possible. The objective of the present work is to study the response of these sensors and then derive different surface layer parameters from it, together with the statistical interrelation between these parameters. Simultaneously, specific weather conditions during a selective period of study have been considered to observe the change in the performance of the instruments. Also how this change affects the surface layer parameters with the presence of a typical weather system has been examined. Finally the analysis shows that the surface layer parameters have good interrelation during deep convective situations