Introduction to Quantum Bayesian Networks
Explore the construction and implementation of Quantum Bayesian Networks to enhance probabilistic classifiers. Understand the challenges of quantum Naïve Bayes models and discover how quantum oracles provide efficient solutions for handling complex probability modifiers and reduce reliance on classical computations.
We'll cover the following...
We'll cover the following...
Bayes’ Theorem helps us build a classifier capable of predicting the survival of a passenger aboard the Titanic. However, the quantum Naïve Bayes classifier we created in the chapter Introduction to Naïve Bayes includes two features only. Yet, we’re already moving on the edge of the possible. While handling modifiers below ...