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A Bayesian theory of quantum gravity without gravitons

Heartspring, William (2019) A Bayesian theory of quantum gravity without gravitons. [Preprint]

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Abstract

There currently exists no theory that explicitly demonstrates compatibility of the Standard Model in its operational regime with the general theory of relativity in an appropriate limit. Here we present a novel theory of quantum gravity that meets required compatibility, derived from Bayesian and holographic principles. Gravity is not understood as force mediated by gravitons but fundamentally as emergent spacetime dependent on entanglement. Both spacetime and quantum mechanics are understood as arising out of observer's knowledge of the world, instead of pre-existing before an observer. Spacetime exists as a picture of quantum-mechanical knowledge obtained from signals an observer received, and the general theory of relativity is understood as an equation of state, as in Jacobson (1995). Despite some departures from conventional quantum gravity understanding, the theory maintains holographic roots and upholds AdS/CFT.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Heartspring, Williambheartspring@gmail.com
Additional Information: Heavy revision of the original preprint.
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, quantum gravity, Ryu-Takayanagi, holographic 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: 03 Jul 2019 13:13
Last Modified: 03 Jul 2019 13:13
Item ID: 16170
Subjects: Specific Sciences > Physics > Quantum Gravity
Specific Sciences > Probability/Statistics
Specific Sciences > Physics > Quantum Mechanics
Specific Sciences > Physics > Statistical Mechanics/Thermodynamics
Date: 29 June 2019
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/16170

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