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 |
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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. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/2533/1/012009 |