Titlebook: Albert Einstein, Boris Podolsky, Nathan Rosen; Can Quantum-Mechanic Claus Kiefer Book 2022 Springer Nature Switzerland AG 2022 Albert Einst

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Data Fabric and Data Mesh Approaches with AIIn 1934, three physicists came together in Princeton, United States, to author a scientific paper that would turn out to be one of the most cited publications of the twentieth century. They were Albert Einstein, Boris Podolsky, and Nathan Rosen. Einstein (1879–1955)was already world-famous back then for developing his theory of relativity.

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Key Data Fabric and Data Mesh CapabilitiesCan Quantum-Mechanical Description of Physical Reality Be Considered Complete? A. Einstein, B. Podolsky, and N. Rosen, Physical Review, Volume 47, Page 777–780, published in 1935 by the American Physical Society.

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Fusing Two Views using Object Motion,Einstein, Podolsky, and Rosen concluded that quantum mechanics has to be incomplete. This obviously leads to the question of how to complete it. It especially leads to the question about ‘hidden variables’ that would, for example, allow to simultaneously determine position and momentum of a particle.

失誤

Backstory,In 1934, three physicists came together in Princeton, United States, to author a scientific paper that would turn out to be one of the most cited publications of the twentieth century. They were Albert Einstein, Boris Podolsky, and Nathan Rosen. Einstein (1879–1955)was already world-famous back then for developing his theory of relativity.

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,Translation of Einstein’s 1948 Paper,English translation by S. Linden and A. K. Hudert. Translation of Part II and the last three paragraphs are taken from Howard, D. (1985), Einstein on Locality and Separability.

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Further Developments,Einstein, Podolsky, and Rosen concluded that quantum mechanics has to be incomplete. This obviously leads to the question of how to complete it. It especially leads to the question about ‘hidden variables’ that would, for example, allow to simultaneously determine position and momentum of a particle.

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Qualitative Aggregation of Bayesian Networksperties turn out to be mere approximations and result from properties of the entanglement – the entanglement of the considered degrees of freedom of the system with the irrelevant degrees of freedom of the natural environment coupled to the system; this is the process of decoherence discussed in the preceding chapter.