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Factor Graphs for Quantum Probabilities

Information Theory 2017-06-13 v3 Artificial Intelligence math.IT Statistics Theory Quantum Physics Statistics Theory

Abstract

A factor-graph representation of quantum-mechanical probabilities (involving any number of measurements) is proposed. Unlike standard statistical models, the proposed representation uses auxiliary variables (state variables) that are not random variables. All joint probability distributions are marginals of some complex-valued function qq, and it is demonstrated how the basic concepts of quantum mechanics relate to factorizations and marginals of qq.

Keywords

Cite

@article{arxiv.1508.00689,
  title  = {Factor Graphs for Quantum Probabilities},
  author = {Hans-Andrea Loeliger and Pascal O. Vontobel},
  journal= {arXiv preprint arXiv:1508.00689},
  year   = {2017}
}

Comments

To appear in IEEE Transactions on Information Theory, 2017

R2 v1 2026-06-22T10:25:48.720Z