Quantum fluctuations, particles and entanglement: solving the quantum measurement problems

The so-called quantum measurement problems are solved from a new perspective. One of the main observations is that the basic entities of our world are particles , elementary or composite. It follows that each elementary process, hence each measurement process at its core, is a spacetime, pointlike,...

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Veröffentlicht in:Journal of physics. Conference series 2023-06, Vol.2533 (1), p.12009
1. Verfasser: Konishi, Kenichi
Format: Artikel
Sprache:eng
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Zusammenfassung:The so-called quantum measurement problems are solved from a new perspective. One of the main observations is that the basic entities of our world are particles , elementary or composite. It follows that each elementary process, hence each measurement process at its core, is a spacetime, pointlike, event. Another key idea is that, when a microsystem ψ gets into contact with the experimental device, factorization of ψ rapidly fails and entangled mixed states appear. The wave functions for the microsystem-apparatus coupled system for different measurement outcomes then lack overlapping spacetime support. It means that the aftermath of each measurement is a single term in the sum: a “wave-function collapse”. Our discussion leading to a diagonal density matrix, ρ = diag(| c 1 | 2 ,…,| c n | 2 ,…) shows how the information encoded in the wave function | ψ 〉 = ∑ n c n | n 〉 gets transcribed, via entanglement with the experimental device and environment, into the relative frequencies P n = | c n | 2 for various experimental outcomes F = f n . Our discussion represents the first, significant steps towards filling in the logical gaps in the conventional interpretation based on Born’s rule, replacing it with a clearer understanding of quantum mechanics. Accepting objective reality of quantum fluctuations, independent of any experiments, and independently of human presence, one renounces the idea that in a fundamental, complete theory of Nature the result of each single experiment must necessarily be predictable.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2533/1/012009