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About this paper
Vitaly Vanchurin
Vitaly Vanchurin presents a theoretical framework proposing that both quantum mechanics and general relativity emerge from the statistical dynamics of an underlying neural network, viewing them as dual macroscopic descriptions of its trainable and non-trainable variables, respectively. The work suggests that fundamental constants like Planck's constant and the cosmological constant emerge as Lagrange multipliers related to the number of neurons in the system.
Key insights
- Quantum mechanics (describing trainable variables) and general relativity (describing non-trainable variables) are presented as dual macroscopic descriptions of the same underlying neural network.
- Fundamental constants, including Planck's constant and the cosmological constant, emerge as Lagrange multipliers related to constraints on the number of neurons in different sectors of the theory.
- The neural network framework provides a concrete microscopic basis for emergent physical laws, offering new perspectives on the QM measurement problem and cosmological phenomena.
Summary by alphaXiv.
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