A Classification of Hidden-Variable Properties
نویسندگان
چکیده
Hidden-variable models of quantum mechanics (QM) are complete descriptions of quantum phenomena. These models have been analyzed under conditions such as locality (Bell [1, 1964]) and non-contextuality (Kochen-Specker [20, 1967]). We give a uniform presentation of six underlying properties that can be asked of hidden-variable models and show all the relationships among them (as depicted in Figure 1.1). Two positive existence theorems are given which show that hidden-variable models of certain types always exist. We follow this with a unified treatment of the “no-go” theorems of Einstein-Podolsky-Rosen [15, 1935], Bell [1, 1964], and Kochen-Specker [20, 1967]. Within our six-property classification scheme, we are able to give a complete picture of hidden-variable models.
منابع مشابه
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which tries to give a solution for these three problems jointly. The data reduction problem is modeled as a blind sources separation (BSS) where the data are the m hyperspectral images and the sources are the n < m images w...
متن کاملشناسایی و تحلیل تاثیر متغیرها و شاخصهای تابآوری: شواهدی از شمال و شمالشرقی تهران
Human communities are affected by hazards, disasters and catastrophic events throughout history, including natural disasters (such as: earthquakes, hurricanes, floods, tornadoes) man-made disasters (such as: nuclear accidents, explosions, socio or political crisis, economic disturbances). Therefore, catastrophic events can have human or natural causes. These conditions show that human communiti...
متن کاملAn Integrated DEA and Data Mining Approach for Performance Assessment
This paper presents a data envelopment analysis (DEA) model combined with Bootstrapping to assess performance of one of the Data mining Algorithms. We applied a two-step process for performance productivity analysis of insurance branches within a case study. First, using a DEA model, the study analyzes the productivity of eighteen decision-making units (DMUs). Using a Malmquist index, DEA deter...
متن کاملMalware Detection using Classification of Variable-Length Sequences
In this paper, a novel method based on the graph is proposed to classify the sequence of variable length as feature extraction. The proposed method overcomes the problems of the traditional graph with variable length of data, without fixing length of sequences, by determining the most frequent instructions and insertion the rest of instructions on the set of “other”, save speed and memory. Acco...
متن کاملHierarchical Markovian Models for Hyperspectral Image Segmentation
Hyperspectral images can be represented either as a set of images or as a set of spectra. Spectral classification and segmentation and data reduction are the main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach with an appropriate hiearchical model with hidden markovian variables which gives the possibility to jointly do data reduction, spectral...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008