RT Journal Article
T1 A Bayesian-network-based quantum procedure for failure risk analysis
A1 Carrascal De Las Heras, Ginés
A1 Botella Juan, Guillermo
A1 Del Barrio García, Alberto Antonio
A1 Kremer, David
AB 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.
PB Springer
YR 2023
FD 2023
LK https://hdl.handle.net/20.500.14352/132794
UL https://hdl.handle.net/20.500.14352/132794
LA eng
NO Carrascal, G., Botella, G., del Barrio, A. et al. A Bayesian-network-based quantum procedure for failure risk analysis. EPJ Quantum Technol. 10, 13 (2023). https://doi.org/10.1140/epjqt/s40507-023-00171-4
DS Docta Complutense
RD 20 mar 2026