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Foundations of Quantum Computing (I. Demystifying Quantum Paradoxes)

Authors: M Syrkin ‎;

Foundations of Quantum Computing (I. Demystifying Quantum Paradoxes)

Abstract

Speedy developments in Quantum Technologies mandate that fundamentals of Quantum Computing are well explained and ‎understood. Meanwhile, paradigms of so-called quantum non-locality, wave function (WF) “collapse”, “Schrödinger cat” and ‎some other historically popular misconceptions continue to feed mysteries around quantum phenomena. Arguing that above ‎misinterpretations stem from classically minded and experimentally unverifiable perceptions, recasting Principle of ‎Superposition (PS) and key experimental details into classical notions. Revisiting main components of general quantum ‎measurement protocols (analyzers and detectors), and explaining paradoxes of WF collapse and Schrödinger cat. Reminding ‎that quantum measurements routinely reveal correlations dictated by conservation laws in each individual realization of the ‎quantum ensemble, manifesting “correlation-by-initial conditions” in contrast to traditional “correlation-by-interactions”. We ‎reiterate: Quantum Mechanics (QM) is not a dynamical theory in the same sense the Classical Mechanics (CM) is – it is a ‎statistical phenomenology, as established in 1926 by Born’s postulate. That is, while QM rests on conservation laws in each ‎individual outcome, it does not indicate how exactly a specific outcome is selected. This selection remains fundamentally ‎random and represents true randomness of QM, the latter being a statistical paradigm with a WF standing for a complex-‎valued distribution function. Finally, PS is the backbone of a quantum measurement process: PS can be conveniently viewed ‎as a composition of partial distributions into the total distribution – similar to classical probability mixtures – and is ‎effectuated experimentally by the analyzer part of a measuring device. ‎

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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