A Bayesian-network-based quantum procedure for failure risk analysis
Ginés Carrascal, Guillermo Botella, Alberto Antonio Del Barrio, David Kremer · EPJ Quantum Technology · 2023
Abstract Studying the propagation of failure probabilities in interconnected systems such as electrical distribution networks is traditionally performed by means of Monte Carlo simulations. In this paper, we propose a procedure for creating a model of the system on a quantum computer using a restricted representation of Bayesian networks. We present examples of this implementation on sample models using Qiskit and test them using both quantum simulators and IBM Quantum hardware. The results show a correlation in the precision of the results when considering the number of Monte Carlo iterations alongside the sum of shots in a single quantum circuit execution.