Super Simple Quantum Bayesian Networks (Part 1)
Continuing our study of quantum computing for probabilistic inference and Bayesian reasoning, we discuss a circuit over two qubits which simultaneously computes all the joint probabilities of all the possible configurations of a system of two Bernoulli variables. We focus on the mathematics behind our circuit and prove its claimed behavior. Since we do not want to overextend this note, we defer practical implementation examples to later.
- Published in:
Lamarr Qantum Computing Nuggets - Type:
Article - Authors:
Bauckhage, Christian - Year:
2023 - Source:
https://www.researchgate.net/publication/372788379_Super_Simple_Quantum_Bayesian_Networks_Part_1
Citation information
Bauckhage, Christian: Super Simple Quantum Bayesian Networks (Part 1), Lamarr Qantum Computing Nuggets, 2023, https://www.researchgate.net/publication/372788379_Super_Simple_Quantum_Bayesian_Networks_Part_1, Bauckhage.2023b,
@Article{Bauckhage.2023b,
author={Bauckhage, Christian},
title={Super Simple Quantum Bayesian Networks (Part 1)},
journal={Lamarr Qantum Computing Nuggets},
url={https://www.researchgate.net/publication/372788379_Super_Simple_Quantum_Bayesian_Networks_Part_1},
year={2023},
abstract={Continuing our study of quantum computing for probabilistic inference and Bayesian reasoning, we discuss a circuit over two qubits which simultaneously computes all the joint probabilities of all the possible configurations of a system of two Bernoulli variables. We focus on the mathematics behind our circuit and prove its claimed behavior. Since we do not want to overextend this note, we defer...}}
