Article
Version 1
Preserved in Portico This version is not peer-reviewed
A Stochastic Sampling Approach to the Measurement Problem
Version 1
: Received: 31 January 2024 / Approved: 1 February 2024 / Online: 1 February 2024 (08:27:48 CET)
Version 2 : Received: 3 February 2024 / Approved: 5 February 2024 / Online: 5 February 2024 (11:00:39 CET)
Version 2 : Received: 3 February 2024 / Approved: 5 February 2024 / Online: 5 February 2024 (11:00:39 CET)
How to cite: Yang, Y. A Stochastic Sampling Approach to the Measurement Problem. Preprints 2024, 2024020013. https://doi.org/10.20944/preprints202402.0013.v1 Yang, Y. A Stochastic Sampling Approach to the Measurement Problem. Preprints 2024, 2024020013. https://doi.org/10.20944/preprints202402.0013.v1
Abstract
The present paper reports an alternative solution of the measurement problem in quantum theory. The measurement problem can be characterized as that the U procedure verses the R procedure. The R-procedure is tested by the Yes/No measurement originally proposed by von Neuman and discussed in details by Penrose. We propose a novel stochastic sampling method to tackle the measurement paradox. Each testing sample produces a pair of Yes-number c and No-number d, which in turn generates a sample phase with respect to the exponential form of . All the sample phases form a group, write Taking as the sampling potential, the revised Schrödinger equation has the form . This equation has a solution , where is the dynamic phase, while is the sample phase. Based on the Born rule, the probability of a sample is given by the squared magnitude of . Some metaproperties of the new U-R model, such as natural transformation, consistency, and completeness, are presented. The present work provides a new picture of quantum mechanics and alike
Keywords
U-R procedures; the Yes/No type measurement; stochastic sampling; sample phase; Schrödinger equation; Born probability
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment