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Quantum Mechanics as a Theory of Probability

  • Meir Hemmo*
  • , Orly Shenker
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

We examine two quite different threads in Pitowsky’s approach to the measurement problem that are sometimes associated with his writings. One thread is an attempt to understand quantum mechanics as a probability theory of physical reality. This thread appears in almost all of Pitowsky’s papers (see for example 2003, 2007). We focus here on the ideas he developed jointly with Jeffrey Bub in their paper ‘Two Dogmas About Quantum Mechanics’ (2010) (See also: Bub (1977, 2007, 2016, 2020); Pitowsky (2003, 2007)). In this paper they propose an interpretation in which the quantum probabilities are objective chances determined by the physics of a genuinely indeterministic universe. The other thread is sometimes associated with Pitowsky’s earlier writings on quantum mechanics as a Bayesian theory of quantum probability (Pitowsky 2003) in which the quantum state seems to be a credence function tracking the experience of agents betting on the outcomes of measurements. An extreme form of this thread is the so-called Bayesian approach to quantum mechanics. We argue that in both threads the measurement problem is solved by implicitly adding structure to Hilbert space. In the Bub-Pitowsky approach we show that the claim that decoherence gives rise to an effective Boolean probability space requires adding structure to Hilbert space. With respect to the Bayesian approach to quantum mechanics, we show that it too requires adding structure to Hilbert space, and (moreover) it leads to an extreme form of idealism.

Original languageEnglish
Title of host publicationJerusalem Studies in Philosophy and History of Science
PublisherSpringer International Publishing
Pages337-351
Number of pages15
DOIs
StatePublished - 2020

Publication series

NameJerusalem Studies in Philosophy and History of Science
VolumePart F11853
ISSN (Print)2524-4248
ISSN (Electronic)2524-4256

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

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This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Bayesian approach
  • Bub-Pitowsky’s approach
  • measurement problem
  • preferred basis problem

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