The EPR experiment in the energy-based stochastic reduction framework

TL;DR

This paper analyzes the EPR experiment within an energy-based stochastic reduction framework, deriving analytical results and exploring the role of noise trajectories as potential non-local hidden variables.

Contribution

It introduces a novel energy-based stochastic model for the EPR experiment and analyzes the disentanglement dynamics and outcome probabilities.

Findings

Disentanglement rate depends on model parameters

Outcome probabilities are influenced by noise trajectories

Noise trajectories can be viewed as non-local hidden variables

Abstract

We consider the EPR experiment in the energy-based stochastic reduction framework. A gedanken set up is constructed to model the interaction of the particles with the measurement devices. The evolution of particles' density matrix is analytically derived. We compute the dependence of the disentanglement rate on the parameters of the model, and study the dependence of the outcome probabilities on the noise trajectories. Finally, we argue that these trajectories can be regarded as non-local hidden variables.