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State-Independent Proofs of Bell's Theorem Without Inequalities and Bell Inequality for Four-Qubit System
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作者 CHENChang-Yong GAOKe-Lin 《Communications in Theoretical Physics》 SCIE CAS CSCD 2005年第4期617-620,共4页
A state-dependent proof of Bell's theorem without inequalities using the product state of any two maximally entangled states (Bell states) of two qubits for two observers in an ideal condition, each of which posse... A state-dependent proof of Bell's theorem without inequalities using the product state of any two maximally entangled states (Bell states) of two qubits for two observers in an ideal condition, each of which possesses two qubits,is proposed. It is different from the other proofs in which there exists a fundamental requirement that certain specific suitable Bell states have been chosen. Moreover, in any non-ideal situation, a common Bell inequality independent of the choices of the 16-product states is derived, which is used to test the contradiction between quantum mechanics and local reality theory in the reach of current experimental technology. 展开更多
关键词 Bell's theorem without inequalities maximally entangled state EPR pair
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Exponential inequalities under the sub-linear expectations with applications to laws of the iterated logarithm 被引量:42
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作者 ZHANG LiXin 《Science China Mathematics》 SCIE CSCD 2016年第12期2503-2526,共24页
Kolmogorov's exponential inequalities are basic tools for studying the strong limit theorems such as the classical laws of the iterated logarithm for both independent and dependent random variables. This paper est... Kolmogorov's exponential inequalities are basic tools for studying the strong limit theorems such as the classical laws of the iterated logarithm for both independent and dependent random variables. This paper establishes the Kolmogorov type exponential inequalities of the partial sums of independent random variables as well as negatively dependent random variables under the sub-linear expectations. As applications of the exponential inequalities, the laws of the iterated logarithm in the sense of non-additive capacities are proved for independent or negatively dependent identically distributed random variables with finite second order moments.For deriving a lower bound of an exponential inequality, a central limit theorem is also proved under the sublinear expectation for random variables with only finite variances. 展开更多
关键词 sub-linear expectation capacity Kolmogorov's exponential inequality negative dependence laws of the iterated logarithm central limit theorem
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