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Reformulation of quantum mechanics and strong complementarity from Bayesian inference requirements

Heartspring, William (2019) Reformulation of quantum mechanics and strong complementarity from Bayesian inference requirements. [Preprint]

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Abstract

This paper provides an epistemic reformulation of quantum mechanics (QM) in terms of inference consistency requirements of objective Bayesianism, which include the principle of maximum entropy under physical constraints. Physical constraints themselves are understood in terms of consistency requirements. The by-product of this approach is that QM must additionally be understood as providing the theory of theories. Strong complementarity - that different observers may "live" in separate Hilbert spaces - follows as a consequence, which resolves the firewall paradox. Other clues pointing to this reformulation are analyzed. The reformulation, with the addition of novel transition probability arithmetic, resolves the measurement problem completely, thereby eliminating subjectivity of measurements from quantum mechanics. An illusion of collapse comes from Bayesian updates by observer's continuous outcome data. Dark matter and dark energy pop up directly as entropic tug-of-war in the reformulation.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Heartspring, Williamwilliamheartspring@gmail.com
Keywords: objective Bayesianism, epistemic interpretations of quantum mechanics, principle of maximum entropy, strong complementarity, measurement problem, quantum foundation, basis ambiguity, black hole complementarity, Bayesian update, dark matter, dark energy, entropic gravity, quantum gravity
Subjects: Specific Sciences > Physics > Quantum Gravity
Specific Sciences > Probability/Statistics
Specific Sciences > Physics > Quantum Mechanics
Specific Sciences > Physics > Statistical Mechanics/Thermodynamics
Depositing User: William Heartspring
Date Deposited: 08 Apr 2019 12:52
Last Modified: 08 Apr 2019 12:52
Item ID: 15885
Subjects: Specific Sciences > Physics > Quantum Gravity
Specific Sciences > Probability/Statistics
Specific Sciences > Physics > Quantum Mechanics
Specific Sciences > Physics > Statistical Mechanics/Thermodynamics
Date: 7 April 2019
URI: https://philsci-archive.pitt.edu/id/eprint/15885

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