Learning using the Born Rule

@inproceedings{Wolf2004LearningUT,
  title={Learning using the Born Rule},
  author={L. Wolf},
  year={2004}
}
In Quantum Mechanics the transition from a deterministic description to a probabilistic one is done using a simple rule termed the Born rule. This rule states that the probability of an outcome ( a) given a state ( Ψ) is the square of their inner products ( (a>Ψ)2). In this paper, we unravel a new probabilistic justification for popular algebraic algorithms, based on the Born rule. These algorithms include two-class and multiple-class spectral clustering, and algorithms based on Euclidean… CONTINUE READING
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