English

Quantum Circuit For Discovering from Data the Structure of Classical Bayesian Networks

Quantum Physics 2014-04-02 v1

Abstract

We give some quantum circuits for calculating the probability P(GD)P(G|D) of a graph GG given data DD. GG together with a transition probability matrix for each node of the graph, constitutes a Classical Bayesian Network, or CB net for short. Bayesian methods for calculating P(GD)P(G|D) have been given before (the so called structural modular and ordered modular models), but these earlier methods were designed to work on a classical computer. The goal of this paper is to "quantum computerize" those earlier methods.

Keywords

Cite

@article{arxiv.1404.0055,
  title  = {Quantum Circuit For Discovering from Data the Structure of Classical Bayesian Networks},
  author = {Robert R. Tucci},
  journal= {arXiv preprint arXiv:1404.0055},
  year   = {2014}
}

Comments

20 pages (9 files: 1 .tex, 2 .sty, 6 .eps)

R2 v1 2026-06-22T03:39:42.179Z